<?xml version="1.0" encoding="UTF-8" ?><rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" version="2.0"> <channel> <title><![CDATA[MC Project]]></title> <description><![CDATA[Global digital products and freelance services. Focuses on development, production and distribution of programming scripts, application source code, plugins, themes and templates.]]></description> <image> <title><![CDATA[MC Project]]></title> <url>https://en.mycoding.id/favicon.ico</url> <link>https://en.mycoding.id/</link> </image> <category><![CDATA[Software Engineering, Website Development, Mobile Android App, Application Source Code, Programming Scripts]]></category> <link>https://en.mycoding.id/</link> <atom:link href="https://en.mycoding.id/rss.xml" rel="self" type="application/rss+xml"/> <atom:link href="https://en.mycoding.id/rss-videos.xml" rel="alternate" type="application/rss+xml"/> <atom:link href="https://en.mycoding.id/" rel="alternate" type="text/html"/> <pubDate>Sat, 24 Oct 2026 09:37:01 +0700</pubDate> <lastBuildDate>Sat, 24 Oct 2026 09:37:01 +0700</lastBuildDate> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <managingEditor>support@mycoding.id (Adi Gunawan)</managingEditor> <webMaster>support@mycoding.id (Adi Gunawan)</webMaster> <language>en_US</language> <copyright>MC Project</copyright> <generator>MC Project</generator> <item> <title><![CDATA[A Ph.D. led me to my dream job at Intel. At age 41, I started an MBA because I realised I was still missing key skills.]]></title> <description><![CDATA[A Ph.D. led me to my dream job at Intel. At age 41, I started an MBA because I realised I was still missing key skills.. A Ph.D. grad who's worked at Intel since 2015 says investing in an MBA is assisting him location gaps in his skillset in the age of AI.]]></description> <media:thumbnail url="https://i.insider.com/6ad9de992a1b5bc156b1ae24?width=1200&amp;format=jpeg"/> <category><![CDATA[Business]]></category> <link>https://en.mycoding.id/a-ph-d-led-me-to-my-dream-job-at-intel-at-age-41-i-started-an-mba-because-i-realised-i-was-still-missing-key-skills-73936</link> <content:encoded><![CDATA[<div e-name="post-hero" data-component-type="post-hero" data-load-strategy="exclude"> <figure data-type="img" e-name="image-figure-image" data-media-container="image" itemscope itemtype="https://schema.org/ImageObject"> <div> <p><img src="https://i.insider.com/6ad9de6e510d67c758d85ad1?width=2000&amp;format=jpeg&amp;auto=webp" srcset="https://i.insider.com/6ad9de6e510d67c758d85ad1?width=400&amp;format=jpeg&amp;auto=webp 400w, https://i.insider.com/6ad9de6e510d67c758d85ad1?width=500&amp;format=jpeg&amp;auto=webp 500w, https://i.insider.com/6ad9de6e510d67c758d85ad1?width=700&amp;format=jpeg&amp;auto=webp 700w, https://i.insider.com/6ad9de6e510d67c758d85ad1?width=1000&amp;format=jpeg&amp;auto=webp 1000w, https://i.insider.com/6ad9de6e510d67c758d85ad1?width=1300&amp;format=jpeg&amp;auto=webp 1300w, https://i.insider.com/6ad9de6e510d67c758d85ad1?width=2000&amp;format=jpeg&amp;auto=webp 2000w" sizes=" 1280px) 900px" alt="Mihirkant Upadhyaya is sitting on a partition in forefront of snowy mountains." decoding="sync"> </p></div> <span> <span> <svg aria-hidden="true" focusable="false" xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" viewbox="0 0 24 24"> <path fill="currentColor" fill-rule="evenodd" d="m4.56 18.5 7.486-7.72 7.394 7.626 2.56-2.64L12.046 5.5 2 15.86l2.56 2.64Z"></path> </svg> <figcaption e-name="image-caption"> <span>Upadhyaya is a provision sequence program director at Intel.</span> <span> <span e-name="image-source" itemprop="creditText">Courtesy of Mihirkant Upadhyaya</span> </span> </figcaption> </span> </span> </figure> </div> <div data-component-type="image-modal" data-load-strategy="lazy"> <p><em>This as-told-to composition is according to a conversation alongside Mihirkant Upadhyaya, 42, who plant at Intel and lives in Oregon. The following has been edited for dimension and clarity. Business Insider has verified his occupation and education.</em></p><p>After studying device engineering for my bachelor's, I pivoted into physics.</p><p>Two master's degrees and a Ph.D. in nanoscale discipline and engineering later, I <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">got my aspiration job</a> in the semiconductor industry at Intel in 2015.</p><p>As my occupation evolved, I realized I additionally wanted to <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">do an MBA</a> to stage up my game.</p><h2 id="607e2b53-a9a0-4d3c-ac1f-effb809d49fe" data-toc-id="607e2b53-a9a0-4d3c-ac1f-effb809d49fe">My Ph.D. gave me applicable skills to obtain on the workforce</h2><p>During my Ph.D., I focused on a semiconductor manufacturing innovation called EUV lithography. I was enthusiastic to activity at Intel since it does the two <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">chip design</a> and manufacturing, so I knew I'd get a fine overview of the chip-making process.</p><p><a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">You don't need a Ph.D.</a> to activity in semiconductors, as there are so many areas exterior the lab you can activity in, akin backing and legal.</p> <p>On a individual level, though, <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">having a Ph.D.</a> helped me awareness prepared to stage into the workforce. It gave me site and the capability to be comfortable alongside ambiguity. My investigation mindset and specialized backdrop gave me the confidence to obtain ownership of outcomes and tasks.</p><p>There were certainly moments anywhere I had self-doubt <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">doing a Ph.D.</a> You observe your peers go on to acquire big bucks following their bachelor's and master's during you live on a humble stipend. However, the cognition shaped me into who I am. I'd say I'm additional patient, sharper, and additional resilient.</p><h2 id="af4aa1b0-d190-44ea-8f37-507438c25cf0" data-toc-id="af4aa1b0-d190-44ea-8f37-507438c25cf0">I reached a phase anywhere I felt I needed additional learning to thrive in my job</h2><p>After concerning five years in investigation and betterment at Intel, I moved into provision sequence roles, which have engaged managing relationships and negotiating contracts. At this point, I realized I was missing certain skills.</p> <p>My current function has a greater accent on administrator communication and financial analysis. When I presented to an administrator team, my director had to stage in on a figure of occasions to get the area to respond, making what I was saying additional high-level using business-driven terms. I additionally didn't fairly comprehend certain things whenever I worked alongside the backing teams on agreement negotiations.</p><p>To stage up my game, I started a two-year hybrid MBA way in September 2025, alongside my full-time job. It was energizing to get rear to the classroom at age 41.</p><p>I obtain one week off a fourth to do in-person sessions, and the remainder of the period I'm doing online learning three days a week. My business is partially backing this, which is helpful since MBAs can transport a $100,000 cost tag.</p> <figure data-type="img" e-name="image-figure-image" data-media-container="image" role="button" tabindex="0" aria-label="Click to open depiction in exhibition view" itemscope="" itemtype="https://schema.org/ImageObject"> <div> <p><img src="image/svg+xml,%3C%3Fxml%20version=&#039;1.0&#039;%20encoding=&#039;UTF-8&#039;%3F%3E%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20width=&#039;1&#039;%20height=&#039;1&#039;/%3E" data-content-type="image/jpeg" data-srcs='//i.insider.com/6ad9defddc67b5b4d01f6544&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:1849,&quot;aspectRatioH&quot;:2529}}' alt="Upadhyaya is position on his university campus, in forefront of a big building."> </p></div> <span> <figcaption e-name="image-caption"> Upadhyaya estimates that he's invested $100,000 into his post-graduate education.&nbsp; <span e-name="image-source" itemprop="creditText"> Courtesy of Mihirkant Upadhyaya </span> </figcaption> </span> </figure> <p>By the period I've completed my MBA, I'll have done nine years of graduate study, investing an estimated $100,000 into that education, apart from scholarships and tuition waivers. Without question, it's been value it. I haven't pursued the degrees to accumulate credentials, but to assist my occupation at assorted stages of my life. The MBA is addressing a tangible skills gap I identified following years in my industry.</p><h2 id="db582d55-1d6e-4359-be0b-bb0e29acd9de" data-toc-id="db582d55-1d6e-4359-be0b-bb0e29acd9de">I accept higher learning is assisting me rotate into additional irreplaceable in the age of AI</h2><p>The AI surge made me obtain a difficult appearance at what I bring to the table. I saw that several of what I did could eventually be automated. That realization was humbling.</p><p>Instead of trying to vie alongside what AI is already fine at, I wanted to fortify the areas anywhere I knew it cut short. AI is awesome at handling and analyzing information. It has measure and speed, but it lacks the really insightful judgement that a individual can acquire from years of learning a skill.</p> <figure data-type="img" e-name="image-figure-image" data-media-container="image" role="button" tabindex="0" aria-label="Click to open depiction in exhibition view" itemscope="" itemtype="https://schema.org/ImageObject"> <div> <p><img src="image/svg+xml,%3C%3Fxml%20version=&#039;1.0&#039;%20encoding=&#039;UTF-8&#039;%3F%3E%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20width=&#039;1&#039;%20height=&#039;1&#039;/%3E" data-content-type="image/jpeg" data-srcs='//i.insider.com/6ad9df632a1b5bc156b1ae2c&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:2621,&quot;aspectRatioH&quot;:3494}}' alt="Upadhyaya is sitting on a partition in forefront of a mountain and trees."> </p></div> <span> <figcaption e-name="image-caption"> Upadhyaya stated he's encountered limits to AI's capabilities.&nbsp; <span e-name="image-source" itemprop="creditText"> Courtesy of Mihirkant Upadhyaya </span> </figcaption> </span> </figure> <p>In my former function at Intel, I established that AI couldn't inform me how to troubleshoot issues involving new or custom-made equipment since the environment was so distinctive to my situation.</p><p>Meanwhile, in my current role, during AI could likely assistance me create financial models, it can't peruse the room, build relationships, or have synergy alongside another person. My MBA way benefits me in this regard since we do many of collection activities, equal online through Zoom, anywhere we can engage alongside all other.</p><p>I think that in the age of AI, finding a site you really attention about, becoming an expert in it, and staying inquisitive to keep learning can assistance you rotate into irreplaceable.</p><p><em>Intel declined to comment in reply to a petition from Business Insider.</em></p> </div> <h2>Read next</h2> <div data-recommendations-content data-track-click-shared='&quot;Read next&quot;}'> <div e-name="read-next-list" data-recommendations-list> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> </div> </div> <a e-name="read-next-image-link" data-recommendations-image-link data-recommendations-link tabindex="-1"> <p><img alt=""> </p> </a> <h3> <a e-name="read-next-title-link" data-recommendations-link data-recommendations-title></a> </h3> <div data-component-type="post-bottom-authors" data-load-strategy="exclude" data-track-view='&quot;module_in_view&quot;}' data-track-click-shared='&quot;navigation&quot;}'> <div data-track-view='&quot;module_in_view&quot;}'> <div> <p><span>Charissa Cheong is a elder first-person newsman on Business Insider's Business Contributors and Freelance team, based in London.&nbsp;</span><span>She covers: Relocation and immigration, how <a href="https://en.mycoding.id/category/business" target="_blank">employment visas&nbsp;</a>impact careers, what it&rsquo;s akin operating at the <a href="https://en.mycoding.id/category/business" target="_blank">world&rsquo;s biggest companies</a> or alongside its most <a href="https://en.mycoding.id/category/business" target="_blank">prominent leaders</a>, how the <a href="https://en.mycoding.id/category/business" target="_blank">AI revolution</a> is affecting professionals, and more.&nbsp;</span><span>Charissa&rsquo;s activity spans a broad range of topics, but the unifying thread is first-person storytelling &mdash; sharing people&rsquo;s distinctive occupation and existence experiences in their own voice, alongside their own words.&nbsp;</span><span>She writes in Business Insider&rsquo;s signature &ldquo;<a href="https://en.mycoding.id/category/business" target="_blank">As-told-to</a>&rdquo; format, which is designed to emphasize mighty perspectives in a conversational way. She additionally commissions and edits <a href="https://en.mycoding.id/category/business" target="_blank">personal essays</a> from freelance writers and contributors.&nbsp;</span><span>Charissa joined Business Insider in 2022 on the digital civilization desk, covering <a href="https://en.mycoding.id/category/business" target="_blank">family vlogging</a>, <a href="https://en.mycoding.id/category/business" target="_blank">online harassment</a>, and <a href="https://en.mycoding.id/category/business" target="_blank">influencer culture</a>. She moved to the contributors and freelance squad in 2024.</span><span>She graduated from the University of Cambridge alongside a BA in English and holds a aureate norm NCTJ Level 5 reporting diploma.</span> </p> </div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/a-ph-d-led-me-to-my-dream-job-at-intel-at-age-41-i-started-an-mba-because-i-realised-i-was-still-missing-key-skills-73936</guid> <pubDate>Sat, 24 Oct 2026 09:37:01 +0700</pubDate> <author><![CDATA[support@mycoding.id (Charissa Cheong)]]></author> </item> <item> <title><![CDATA[Here's how Canva's new image generation tool compares to models by OpenAI, Google, and Meta]]></title> <description><![CDATA[Here's how Canva's new image generation tool compares to models by OpenAI, Google, and Meta. While Canva's new depiction generation tool cut abbreviated at making a anniversary card, it's catching up to additional mighty models in creating realistic images.]]></description> <media:thumbnail url="https://i.insider.com/6adac583dc67b5b4d01f6b76?width=1200&amp;format=jpeg"/> <category><![CDATA[Business]]></category> <link>https://en.mycoding.id/here-s-how-canva-s-new-image-generation-tool-compares-to-models-by-openai-google-and-meta-73937</link> <content:encoded><![CDATA[<div e-name="post-hero" data-component-type="post-hero" data-load-strategy="exclude"> <figure data-type="img" e-name="image-figure-image" data-media-container="image" itemscope itemtype="https://schema.org/ImageObject"> <div> <p><img src="https://i.insider.com/6adac556dc67b5b4d01f6b75?width=1300&amp;format=jpeg&amp;auto=webp" srcset="https://i.insider.com/6adac556dc67b5b4d01f6b75?width=400&amp;format=jpeg&amp;auto=webp 400w, https://i.insider.com/6adac556dc67b5b4d01f6b75?width=500&amp;format=jpeg&amp;auto=webp 500w, https://i.insider.com/6adac556dc67b5b4d01f6b75?width=700&amp;format=jpeg&amp;auto=webp 700w, https://i.insider.com/6adac556dc67b5b4d01f6b75?width=1000&amp;format=jpeg&amp;auto=webp 1000w, https://i.insider.com/6adac556dc67b5b4d01f6b75?width=1300&amp;format=jpeg&amp;auto=webp 1300w" sizes=" 1280px) 900px" alt="A red gemstone pendant is shown handheld beside the identical pendant displayed in a pane case." decoding="sync"> </p></div> <span> <span> <svg aria-hidden="true" focusable="false" xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" viewbox="0 0 24 24"> <path fill="currentColor" fill-rule="evenodd" d="m4.56 18.5 7.486-7.72 7.394 7.626 2.56-2.64L12.046 5.5 2 15.86l2.56 2.64Z"></path> </svg> <figcaption e-name="image-caption"> <span>Canva has launched Canva Craft, a new depiction generation tool.</span> <span> <span e-name="image-source" itemprop="creditText">Business Insider</span> </span> </figcaption> </span> </span> </figure> </div> <div data-component-type="image-modal" data-load-strategy="lazy"> <p>Canva wants a attempt at winning the <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">AI depiction generation</a> race.</p><p>The scheme platform<strong> </strong>launched Canva Craft on Thursday, its archetypal image-generation model, akin to those from Google, Meta, and OpenAI.</p><p>Users can admission Craft through Canva&rsquo;s Dream Lab, including alongside liberated accounts, although it is topic to AI use limits. You&rsquo;ll need to sign in to a Canva document to get started.</p><p>In the publish announcement, Canva stated the tool plans a design&rsquo;s layout, proportions, and content before generating an image, an method that aims to assistance it create legible lettering and exact details.</p><p>The business additionally stated that the example was trained on human-designed Canva templates, including posters, menus, and presentations, fairly than photographs.</p><p>To test how Canva performs, Business Insider created three depiction generation prompts alongside escalating difficulty levels &mdash; from designing a uncomplicated salutation cardstock to creating a <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">photorealistic image</a> from scratch.</p><p>Here is how Canva's brand-new depiction generation tool stacked up against three of the most <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">powerful models</a>.</p><p>Canva did not react to a petition for comment.</p><h2 id="920c6e03-630d-46ce-8831-5d553abb0c12" data-toc-id="920c6e03-630d-46ce-8831-5d553abb0c12">Starting off alongside an illustration</h2> <figure data-type="img" e-name="image-figure-image" data-media-container="image" role="button" tabindex="0" aria-label="Click to open depiction in exhibition view" itemscope="" itemtype="https://schema.org/ImageObject"> <div> <p><img src="image/svg+xml,%3C%3Fxml%20version=&#039;1.0&#039;%20encoding=&#039;UTF-8&#039;%3F%3E%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20width=&#039;1&#039;%20height=&#039;1&#039;/%3E" data-content-type="image/jpeg" data-srcs='//i.insider.com/6ada9cd32a1b5bc156b1b3ff&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:1920,&quot;aspectRatioH&quot;:960}}' alt="Three colorful personalized anniversary cardstock designs characteristic illustrated pink-haired characters and apparent messages for Jessica turning 28."> </p></div> <span> <figcaption e-name="image-caption"> Canva's reply to a salutation cardstock immediate (left), compared to ChatGPT (middle) and Gemini (right).&nbsp; <span e-name="image-source" itemprop="creditText"> Business Insider </span> </figcaption> </span> </figure> <p>We started off uncomplicated alongside a immediate for a anniversary card.</p> <blockquote><em>Create a animation "Happy Birthday" salutation cardstock for a companion named Jessica who has pink hair, brown eyes, likes to deteriorate paisley, and is turning 28 years old in November.</em></blockquote><p>Surprisingly, Canva, the <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">design platform</a>, cut abbreviated in its scheme of the anniversary card, from the clumsy font to the outsize caput of the animation character. It didn't equal annoy to contain any paisley.</p><p>By comparison, ChatGPT and Muse understood the assignment.</p><p>ChatGPT guessed that the recipient's favorite color power be pink, during Muse thoughtfully wove in <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">cozy autumn elements</a> for the November anniversary girl.</p> <figure data-type="img" e-name="image-figure-image" data-media-container="image" role="button" tabindex="0" aria-label="Click to open depiction in exhibition view" itemscope="" itemtype="https://schema.org/ImageObject"> <div> <p><img src="image/svg+xml,%3C%3Fxml%20version=&#039;1.0&#039;%20encoding=&#039;UTF-8&#039;%3F%3E%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20width=&#039;1&#039;%20height=&#039;1&#039;/%3E" data-content-type="image/png" data-srcs='//i.insider.com/6ada9573510d67c758d860a4&quot;:{&quot;contentType&quot;:&quot;image/png&quot;,&quot;aspectRatioW&quot;:1578,&quot;aspectRatioH&quot;:948}}' alt="A conversation interface displays a colorful illustrated anniversary cardstock for Jessica alongside balloons, pumpkins, autumn leaves, and the figure 28."> </p></div> <span> <figcaption e-name="image-caption"> Muse wove in cozy autumn elements for the November anniversary girl.&nbsp; <span e-name="image-source" itemprop="creditText"> Screenshot/Business Insider </span> </figcaption> </span> </figure> <p>Meanwhile, Gemini took the petition exactly and produced an depiction of an genuine card. Extra points!</p><p><strong>Winner: Muse</strong></p><h2 id="bfbda27a-2a93-432d-84c9-ceb583ef0c0e" data-toc-id="bfbda27a-2a93-432d-84c9-ceb583ef0c0e">Editing an image</h2> <figure data-type="img" e-name="image-figure-image" data-media-container="image" role="button" tabindex="0" aria-label="Click to open depiction in exhibition view" itemscope="" itemtype="https://schema.org/ImageObject"> <div> <p><img src="image/svg+xml,%3C%3Fxml%20version=&#039;1.0&#039;%20encoding=&#039;UTF-8&#039;%3F%3E%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20width=&#039;1&#039;%20height=&#039;1&#039;/%3E" data-content-type="image/png" data-srcs='//i.insider.com/6adaa39d510d67c758d860c1&quot;:{&quot;contentType&quot;:&quot;image/png&quot;,&quot;aspectRatioW&quot;:2706,&quot;aspectRatioH&quot;:1372}}' alt="Web editing interface shows a red garnet pendant displayed in a pane vitrine on a blue cushion."> </p></div> <span> <figcaption e-name="image-caption"> The petition and first depiction (left). Canva's results (right).&nbsp; <span e-name="image-source" itemprop="creditText"> Screenshot/Business Insider </span> </figcaption> </span> </figure> <p>For the second task, I tested the AI models' capability to acknowledge an component and location it in a brand-new setting.</p><blockquote><em>Edit this depiction of me holding a necklace pendant. Take the red garnet pendant off my hand and create it appearance as if it is displayed in a vitrine in a jewelry showroom.</em></blockquote><p>Canva did a awesome job of identifying the pendant and creating an atmospheric setting, but, akin Gemini, it depicted the jewelry in a way that defied discipline and average sense. It would be unrealistic for a pendant to drift in the air or sit propped on a metal element pole.</p> <figure data-type="img" e-name="image-figure-image" data-media-container="image" role="button" tabindex="0" aria-label="Click to open depiction in exhibition view" itemscope="" itemtype="https://schema.org/ImageObject"> <div> <p><img src="image/svg+xml,%3C%3Fxml%20version=&#039;1.0&#039;%20encoding=&#039;UTF-8&#039;%3F%3E%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20width=&#039;1&#039;%20height=&#039;1&#039;/%3E" data-content-type="image/jpeg" data-srcs='//i.insider.com/6adaa412510d67c758d860c3&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:1920,&quot;aspectRatioH&quot;:960}}' alt="Three display case views display a red garnet rosette pendant on necklace stands and a pedestal."> </p></div> <span> <figcaption e-name="image-caption"> ChatGPT (left), Muse (middle), and Gemini (right).&nbsp; <span e-name="image-source" itemprop="creditText"> Business Insider </span> </figcaption> </span> </figure> <p><a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">ChatGPT and Muse</a> formerly again outperformed another models in understanding how things typically appearance in reality. Muse, however, made several alterations to the pendant, which I didn't ask for.</p><p><strong>Winner: ChatGPT</strong></p><h2 id="bb955b49-685f-4bf5-a0ff-d652652b01b2" data-toc-id="bb955b49-685f-4bf5-a0ff-d652652b01b2">Creating a photorealistic depiction from scratch</h2> <figure data-type="img" e-name="image-figure-image" data-media-container="image" role="button" tabindex="0" aria-label="Click to open depiction in exhibition view" itemscope="" itemtype="https://schema.org/ImageObject"> <div> <p><img src="image/svg+xml,%3C%3Fxml%20version=&#039;1.0&#039;%20encoding=&#039;UTF-8&#039;%3F%3E%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20width=&#039;1&#039;%20height=&#039;1&#039;/%3E" data-content-type="image/png" data-srcs='//i.insider.com/6adaa51b2a1b5bc156b1b40f&quot;:{&quot;contentType&quot;:&quot;image/png&quot;,&quot;aspectRatioW&quot;:1264,&quot;aspectRatioH&quot;:1264}}' alt="Orange tabby cat alongside bat-like wings sits on a rock castle ledge under a complete moon."> </p></div> <span> <figcaption e-name="image-caption"> Canva's depiction of a cat perched atop a gothic castle.&nbsp; <span e-name="image-source" itemprop="creditText"> Made alongside Canva/Business Insider </span> </figcaption> </span> </figure> <p>With Halloween approaching, I asked for a realistic depiction of my favorite animal.</p><blockquote><em>Generate a photorealistic depiction of a long-haired orange tabby cat in a Halloween costume alongside bat wings, perched on the border of a gothic medieval castle under the complete moon and a starless night sky.</em></blockquote><p>Though the cat's fur looks a small too strandy and high-contrast in Canva's creation, no components are missing or malformed, and the depiction construction beautiful much matches the norm of Muse and Gemini.</p><p>The apparent victor for me in this round, however, would be ChatGPT.</p> <figure data-type="img" e-name="image-figure-image" data-media-container="image" role="button" tabindex="0" aria-label="Click to open depiction in exhibition view" itemscope="" itemtype="https://schema.org/ImageObject"> <div> <p><img src="image/svg+xml,%3C%3Fxml%20version=&#039;1.0&#039;%20encoding=&#039;UTF-8&#039;%3F%3E%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20width=&#039;1&#039;%20height=&#039;1&#039;/%3E" data-content-type="image/jpeg" data-srcs='//i.insider.com/6adaa614dc67b5b4d01f6b4a&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:1920,&quot;aspectRatioH&quot;:960}}' alt="Orange long-haired cat wearing bat wings poses on gothic rock ledges under complete moons in a dreary imagination triptych."> </p></div> <span> <figcaption e-name="image-caption"> Gemini (left), ChatGPT (middle), and Muse (right).&nbsp; <span e-name="image-source" itemprop="creditText"> Business Insider </span> </figcaption> </span> </figure> <p>Not lone is the cat's posture majestic, but the gentle glow on his remaining flank is extremely realistic, and the pale balance is fine done. There are additionally clouds quietly cradling the moon, which could be a reply to my petition for a starless sky.</p><p><strong>Winner: ChatGPT</strong></p><p>Overall, it's apparent that Canva motionless has a lot of area to develop compared to another models, particularly if explanatory scheme is its focus. For now, I'll rod to moving components about by hand.</p> </div> <h2>Read next</h2> <div data-recommendations-content data-track-click-shared='&quot;Read next&quot;}'> <div e-name="read-next-list" data-recommendations-list> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> </div> </div> <a e-name="read-next-image-link" data-recommendations-image-link data-recommendations-link tabindex="-1"> <p><img alt=""> </p> </a> <h3> <a e-name="read-next-title-link" data-recommendations-link data-recommendations-title></a> </h3> <div data-component-type="post-bottom-authors" data-load-strategy="exclude" data-track-view='&quot;module_in_view&quot;}' data-track-click-shared='&quot;navigation&quot;}'> <div data-track-view='&quot;module_in_view&quot;}'> <div> <p><span>Katherine Li is a newsman on Business Insider's West Coast endeavor news team. She covers career,&nbsp; the forthcoming of work, and how AI is changing hiring practices and office trends.</span><span>Previously, she was a newsroom chap who wrote global breaking news and produced newsletters for Semafor. Before that, she wrote concerning climate policies for The Lever, covered the AAPI community for the SF Chronicle as a freelancer, and wrote concerning the 2019 Hong Kong protests as an intern for The New York Times.</span><span>She is an alumna of the Graduate School of Journalism at UC Berkeley and a alumnus of the global reporting program at Hong Kong Baptist University alongside minors in French and English literature.&nbsp;&nbsp;</span><span>Email Katherine at <a href="https://en.mycoding.id/category/business" target="_blank">katherineli@insider.com</a> and prosecute her on Bluesky <a href="https://en.mycoding.id/category/business" target="_blank">@</a><a href="https://en.mycoding.id/category/business" target="_blank">katherineli.bsky.social</a>.&nbsp;</span> </p> </div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/here-s-how-canva-s-new-image-generation-tool-compares-to-models-by-openai-google-and-meta-73937</guid> <pubDate>Sat, 24 Oct 2026 09:11:01 +0700</pubDate> <author><![CDATA[support@mycoding.id (Katherine Li)]]></author> </item> <item> <title><![CDATA[WC Vendors Pro v2.1.0 – WooCommerce Multivendor Marketplace Plugin]]></title> <description><![CDATA[WC Vendors Pro v2.1.0 – WooCommerce Multivendor Marketplace Plugin. WC Vendors Pro v2.1.0 – WooCommerce Multivendor Marketplace Plugin Free Download. Make Selling easier alongside Fast Product Setup, Organized Order Tools, and Automa...]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Digital Products]]></category> <link>https://en.mycoding.id/wc-vendors-pro-v2-1-0-woocommerce-multivendor-marketplace-plugin-73938</link> <content:encoded><![CDATA[<div class="entry-content admission clearfix"><div class="stream-item stream-item-above-post-content"><div class="stream-item-size"> </div></div><p class="wp-block-paragraph">WC Vendors Pro v2.1.0 – WooCommerce Multivendor Marketplace Plugin Free Download. Make Selling easier alongside Fast Product Setup, Organized Order Tools, and Automated Workflows that assistance Vendors List Products Quickly, Manage Orders Smoothly, and develop your Marketplace alongside Confidence.</p><h3 class="wp-block-heading">Main Features</h3><ul class="wp-block-list"><li>Advanced Multi-Vendor</li><li>Advanced Commission System</li><li>Coupon System</li><li>Ratings and Reviews</li><li>Vendor Frontend Dashboard</li><li>Shipping</li><li>Customizable Storefront</li><li>Charts System</li><li>Customizable Marketplace</li><li>Vendors Signup</li><li>Vendor-created Coupons</li><li>Subscriptions</li><li>Front-end Product Management</li><li>and more</li></ul><h2 class="wp-block-heading">Download WC Vendors Pro – Advanced Multi-Vendor Marketplace</h2><b>Live Demo:</b> <a href="https://en.mycoding.id/category/digital-products" target="_blank" target="_blank"><b>View Demo</b></a><br><br><a href="https://en.mycoding.id/category/digital-products" target="_blank" target="_blank"><b>WC Vendors Online Documentation</b></a><br><br><div class="download-link-section"><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div></div><br><p class="wp-block-paragraph">Free download WC Vendors Pro – WooCommerce Multivendor Marketplace WordPress plugin by WCVendors premium Multi-vendor WP plugin download.</p><div class="stream-item stream-item-in-post stream-item-inline-post aligncenter"><div class="stream-item-size"><div id="container-0730062b1c60873c0fcc80d9fa01093b"></div></div></div><div class="stream-item stream-item-below-post-content"><div class="stream-item-size"><div id="container-0730062b1c60873c0fcc80d9fa01093b"></div></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/wc-vendors-pro-v2-1-0-woocommerce-multivendor-marketplace-plugin-73938</guid> <pubDate>Sat, 24 Oct 2026 08:50:00 +0700</pubDate> <author><![CDATA[support@mycoding.id (Null Php Script)]]></author> </item> <item> <title><![CDATA[What to Look for When Modernizing Customer Support Infrastructure]]></title> <description><![CDATA[What to Look for When Modernizing Customer Support Infrastructure. Learn to regard whenever modernizing client assistance infrastructure, from integrating technologies and scalability to enhancing client experience..]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/what-to-look-for-when-modernizing-customer-support-infrastructure-73935</link> <content:encoded><![CDATA[<div class="gh-content prose prose-lg pb-8"> <p>Modernizing client assistance infrastructure is a multifaceted procedure that goes beyond adopting new tools and software. Businesses must allocate in contemporary infrastructure that enables customers to determine issues efficiently and discover the data they need. At the identical time, companies must provision their agents alongside the tools and cognition to provision outstanding assistance and react to queries in a timely manner. Modern client assistance is a complex scheme that includes services, tools, and teams that allow customers to obtain assistance, determine problems, and maximize the value they extract from a company.</p><p>As such, businesses need to regard multiple key factors whenever looking to upgrade their infrastructure.</p><h2 id="look-to-self-service"><strong>Look to self-service</strong></h2><p>Self-service have to be the cornerstone of a contemporary client assistance infrastructure. In the current customer-centric environment, organizations must clasp new technologies that allow clients to discover solutions to their queries without engaging client support. Knowledge bases, articles, and video tutorials are examples of self-service resources that can enhance the client cognition and decrease the workload of assistance teams.</p><p>When selecting self-service tools, it is crucial that businesses prioritize comfort of access, searching, and comprehensiveness. A cognition basis is ideal for providing detailed answers to particular questions or procedures connected to a merchandise or service, whereas FAQs merge concise answers to broad questions. A company’s self-service resources must be kept up-to-date so that customers can depend on the data to resolve their problems. An infrastructure for self-service assistance must be created alongside these capabilities in mind.</p><h2 id="construct-assisted-support-infrastructure"><strong>Construct assisted assistance infrastructure</strong></h2><p>Even in the age of self-service, customers may motionless need admission to individual support. Technical issues, distinctive situations, and complex problems frequently necessitate the assistance of a client assistance agent. Assisted assistance remains an essential part of the client experience, and companies must justify they provision convenient channels for clients to admission help.</p><p>Modern client assistance infrastructure must recommendation multiple channels, including messaging, live chat, phone calls, emails, and social media. Businesses must acknowledge that distinct customers have varied needs and assistance preferences, and they must tailor their assistance to encounter these expectations. Live conversation and messaging have rotate into famous tools because of their convenience, whereas phone lines remain the preferred manner of communication for several customers. In addition, email is an crucial conduit that allows clients and agents to toggle data asynchronously. As such, companies should create an assisted client assistance infrastructure that includes all applicable communication channels.</p><h2 id="modernize-around-the-customer"><strong>Modernize about the customer</strong></h2><p>Customer needs should remain at the center of all modernization initiative. Businesses should measure whether their innovation investments create it easier for customers to discover information, nexus alongside agents, and determine issues during additionally improving delegate productivity.</p><p>A contemporary client assistance infrastructure should bring together self-service, assisted support, omnichannel connectivity, AI and automation, CRM integration, analytics, and scalable technology. <a href="https://en.mycoding.id/category/technology" target="_blank"><strong>Ccaas providers</strong></a> can assistance this transformation by offering platforms that nexus distinct assistance functions inside a unified environment, allowing businesses to create additional accordant and productive client journeys.</p><h2 id="prioritize-omnichannel-connections"><strong>Prioritize omnichannel connections</strong></h2><p>Some customers may favor to toggle between communication channels whenever interacting alongside a company. An omnichannel method enables customers to use multiple channels simultaneously and ensures agents can perspective these interactions in context. For instance, if a client sends an email and afterward engages alongside a chatbot, an omnichannel infrastructure would authorize the conversation former to be accessed by another agents who intervene. In effect, omnichannel capabilities assistance businesses provision a seamless and convenient assistance cognition that keeps customers busy and satisfied.</p><p>CRM connections are additionally important, particularly for omnichannel infrastructures. A contemporary client assistance infrastructure empowers agents alongside enhanced visibility into customers’ behaviors and the former of interactions throughout channels. As such, businesses must regard whether their CRM data can be unified into the new client assistance ecosystem.</p><h2 id="invest-in-ai-and-automation"><strong>Invest in AI and automation</strong></h2><p>AI-assisted client assistance is becoming the new norm as companies search to provision high-quality assistance during reducing costs. AI chatbots can grip uncomplicated requests, provision individual agents alongside applicable suggestions, and run about the clock to justify customers get the assistance they need at any time. When evaluating AI capabilities, it is crucial to regard their accuracy, context, escalation potential, and relevance. AI systems must be capable to provision helpful data according to particular client data and interactions and path complex requests to individual agents. Businesses can additionally leverage automation to complement AI and execute a assortment of functions in client support, specified as replying to messages, completing requests, or training representatives. At the identical time, AI and automation have to be used to empower agents and enhance their efficiency without impacting their capability to provision a affirmative client experience.</p><h2 id="look-for-analytics-and-reporting"><strong>Look for analytics and reporting</strong></h2><p>A client assistance infrastructure have to be used to collect precious insights concerning a company’s assistance operations and the general client experience. Service analytics can provision actionable data concerning the effectiveness of assistance processes, archetypal reply times, resolution rates, and the most common issues. As such, companies must prioritize reporting tools that can assistance them track these metrics and acquire meaningful insights into the achievement of their client assistance operation. These capabilities can authorize businesses to acknowledge areas of betterment and execute the necessary changes to their processes and training programs.</p><h2 id="enable-247365-support"><strong>Enable 24/7/365 support</strong></h2><p>Modern infrastructure have to be designed to authorize companies to provision round-the-clock assistance whenever needed. Some customers may need aid exterior regular endeavor hours, and companies have to be accessible to react to their requests. Self-service support, automation, and AI can perform an crucial function in ensuring uninterrupted client support. Even although businesses cannot recommendation round-the-clock individual assistance 24/7/365, the customer-centric method should run the decision-making procedure whenever considering specified options. A client assistance infrastructure that provides uninterrupted aid using chatbots, self-service tools, and individual agents can be priceless in delivering a affirmative client experience.</p><h2 id="conclusion"><strong>Conclusion</strong></h2><p>Modernizing client assistance infrastructure requires businesses to appearance beyond idiosyncratic tools and concentration on creating a connected, scalable, and customer-centric assistance ecosystem. The correct infrastructure should merge self-service, assisted support, omnichannel connectivity, AI, automation, CRM integration, and analytics to enhance the two client and delegate experiences. By choosing innovation that supports faster resolutions, dependable information, seamless handoffs, and uninterrupted improvement, businesses can build a assistance procedure that meets changing client expectations during remaining productive and adaptable.</p> <div id="inline-toc-container" class="inline-toc-widget bg-gray-50 border border-gray-200 rounded-lg p-6 my-8 hidden"> <p class="font-serif text-xl text-gray-800 font-bold mb-4 mt-0"> Table of Content </p> <div class="gh-toc"></div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/what-to-look-for-when-modernizing-customer-support-infrastructure-73935</guid> <pubDate>Sat, 24 Oct 2026 08:02:27 +0700</pubDate> <author><![CDATA[support@mycoding.id (Board Infinity)]]></author> </item> <item> <title><![CDATA[Cognizant Intern – ISG BFS Capital Markets Interview Guide]]></title> <description><![CDATA[Cognizant Intern – ISG BFS Capital Markets Interview Guide. Prepare for Cognizant’s ISG BFS Capital Markets discussion alongside chief markets concepts, commerce fundamentals, endeavor skills, and discussion tips.]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/cognizant-intern-isg-bfs-capital-markets-interview-guide-73930</link> <content:encoded><![CDATA[<div class="gh-content prose prose-lg pb-8"> <p>Preparing for the Cognizant Intern – ISG BFS Capital Markets function requires an understanding of financial markets, funding banking processes, commerce lifecycle activities, and endeavor inspection fundamentals. Candidates should additionally be acquainted alongside necessity gathering, stakeholder communication, and the applicable applications of AI tools in investigation and cognition management.</p><p>This guide covers the role's key responsibilities, required skills, discussion questions, crucial topics, and preparedness strategies to assistance candidates prepared for the interview.</p><h2 id="1-about-the-intern-%E2%80%93-isg-bfs-capital-markets-role">1. About the Intern – ISG BFS Capital Markets Role</h2><p>The Intern – ISG BFS Capital Markets function at Cognizant focuses on chief markets and funding banking processes. The function requires an understanding of financial products, front-office, middle-office, and back-office functions, and the stages engaged in the commerce lifecycle.</p><p>Candidates have to be acquainted alongside equity, fixed-income, abroad exchange, money-market, and derivative products. Business inspection and necessity gathering are additionally crucial areas, as the function involves organizing requirements and understanding financial endeavor processes.</p><p>The stance combines financial services cognition alongside analytical thinking, communication, and innovation awareness.</p><h3 id="key-role-details">Key Role Details</h3> <table><tbody><tr><th><span>Detail</span></th><th><span>Information</span></th></tr><tr><td><span>Company</span></td><td><span>Cognizant</span></td></tr><tr><td><span>Job title</span></td><td><span>Intern</span></td></tr><tr><td><span>Business area</span></td><td><span>ISG BFS Capital Markets</span></td></tr><tr><td><span>Job location</span></td><td><span>PAN India</span></td></tr><tr><td><span>Eligible graduating batch</span></td><td><span>2028</span></td></tr><tr><td><span>Eligible qualification</span></td><td><span>Full-time, two-year MBA/PGDM/PGP</span></td></tr><tr><td><span>Interview mode</span></td><td><span>Online</span></td></tr></tbody></table> <hr><h2 id="2-required-skills-and-qualifications">2. Required Skills and Qualifications</h2><p>Candidates should build a basis in financial markets and endeavor inspection during demonstrating powerful communication and analytical skills.</p><h3 id="educational-qualifications">Educational Qualifications</h3><p>According to the provided job description:</p><ul><li>Candidates must be graduating in 2028 alongside a full-time, two-year MBA, PGDM, or PGP degree.</li><li>Candidates must have a minimum total of 60% in Class 10, Class 12, and undergraduate studies at the period of joining.</li><li>Postgraduate candidates must encounter the minimum passing percent and have no position arrears.</li><li>Candidates must fulfill Cognizant's stated nationality, academic-gap, and document-verification requirements.</li></ul><h3 id="financial-and-domain-knowledge">Financial and Domain Knowledge</h3><ul><li>Basic understanding of front-office, middle-office, and back-office functions.</li><li>Knowledge of equity, fixed-income, abroad exchange, money-market, and derivative products.</li><li>Understanding of the commerce lifecycle, including command management, execution, confirmation, clearing, and settlement.</li><li>Familiarity alongside chief markets and funding banking processes.</li><li>Basic understanding of financial services operations and commerce assistance activities.</li></ul><h3 id="business-analysis-skills">Business Analysis Skills</h3><ul><li>Knowledge of endeavor inspection and necessity gathering techniques.</li><li>Ability to arrange requirements effectively.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to comprehend endeavor processes and communicate requirements clearly.</li></ul><h3 id="communication-and-technology-skills">Communication and Technology Skills</h3><ul><li>Excellent written and verbal communication.</li><li>Leadership, decision-making, and interpersonal skills.</li><li>Familiarity alongside AI tools specified as Claude, ChatGPT, and Copilot for research, productivity, and cognition management.</li><li>Willingness to study new technologies and comprehend their applications in financial services.</li></ul><p><strong>Important eligibility note:</strong> The supplied JD additionally mentions three to four years of cognition in a Business Analyst/Business Systems Analyst function and cognition in the financial or banking industry. Since this is described as B-school internship hiring for 2028 graduates, candidates should verify alongside their placement authoritative how these cognition requirements use before relying on the guide for eligibility decisions.</p><hr><h2 id="3-day-to-day-responsibilities">3. Day-to-Day Responsibilities</h2><p>The provided JD emphasizes financial markets knowledge, commerce lifecycle understanding, analytical skills, and necessity gathering. It does not provision a detailed catalog of regular tasks, so the following activities are possible areas of activity according to the stated function requirements fairly than confirmed responsibilities.</p><ol><li><strong>Understanding financial products:</strong> Develop familiarity alongside equity, fixed-income, abroad exchange, money-market, and derivative products.</li><li><strong>Understanding commerce lifecycle activities:</strong> Learn how trades move through command management, execution, confirmation, clearing, and settlement.</li><li><strong>Business necessity gathering:</strong> Help arrange endeavor requirements and comprehend the needs of stakeholders.</li><li><strong>Financial procedure analysis:</strong> Develop an understanding of chief markets and funding banking processes, including commerce assistance and post-trade activities.</li><li><strong>Stakeholder communication:</strong> Communicate endeavor data plainly and collaborate alongside applicable squad members.</li><li><strong>Research and cognition management:</strong> Explore how AI tools can assistance research, data organization, and productivity.</li></ol><hr><h2 id="4-key-competencies-for-success">4. Key Competencies for Success</h2><p>Candidates have to be prepared to display the following competencies during the interview.</p> <table><tbody><tr><th><span>Competency</span></th><th><span>What candidates should demonstrate</span></th></tr><tr><td><span>Financial markets knowledge</span></td><td><span>Understanding of financial products and chief markets terminology</span></td></tr><tr><td><span>Trade lifecycle knowledge</span></td><td><span>Familiarity alongside the chief stages of a trade</span></td></tr><tr><td><span>Analytical thinking</span></td><td><span>Ability to arrange data and comprehend endeavor requirements</span></td></tr><tr><td><span>Communication</span></td><td><span>Ability to explain financial and endeavor concepts clearly</span></td></tr><tr><td><span>Business analysis</span></td><td><span>Understanding of necessity gathering and documentation</span></td></tr><tr><td><span>Decision-making</span></td><td><span>Ability to measure data and method problems logically</span></td></tr><tr><td><span>Technology awareness</span></td><td><span>Understanding of applicable AI applications in investigation and productivity</span></td></tr><tr><td><span>Learning agility</span></td><td><span>Willingness to study financial processes, tools, and technologies</span></td></tr></tbody></table> <hr><h2 id="5-interview-process-at-cognizant">5. Interview Process at Cognizant</h2><p>The supplied JD states that interviews volition be conducted online and refers to registration, discussion rounds, screening, and an internship offer. However, the exact sequence of stages is not plainly established in the copied text.</p><p>Candidates should prepared for the following areas without assuming that all is a confirmed, distinct round.</p><ol><li><strong>Registration:</strong> Complete the required registration through the designated phase and justify that individual and scholarly data is accurate.</li><li><strong>Interview rounds:</strong> Prepare to conversation financial markets fundamentals, commerce lifecycle concepts, endeavor analysis, communication, and problem-solving.</li><li><strong>Screening and verification:</strong> Keep scholarly documents, university ID, marksheets, and another requested documents ready.</li><li><strong>Internship offer:</strong> Final choice and function mapping depend on Cognizant's hiring decisions and the candidate's performance.</li></ol><p>The figure of rounds, appraisal format, and exact sequence have to be confirmed through the university placement agency or authoritative hiring communication.</p><hr><h2 id="6-topics-and-areas-of-focus">6. Topics and Areas of Focus</h2><p>Candidates should prioritize these topics during preparing for the interview.</p><ul><li><strong>Capital markets fundamentals:</strong> Market participants, financial markets, and the intent of chief markets.</li><li><strong>Financial products:</strong> Equity, fixed income, abroad exchange, money-market instruments, and derivatives.</li><li><strong>Trade lifecycle:</strong> Order management, execution, confirmation, clearing, settlement, and post-trade activities.</li><li><strong>Investment banking:</strong> Basic funding banking processes and the function of financial institutions in chief markets.</li><li><strong>Business analysis:</strong> Requirement gathering, stakeholder communication, issue analysis, and documentation.</li><li><strong>Financial services operations:</strong> Trade support, reconciliations, and operational controls at a foundational level.</li><li><strong>AI and research:</strong> Practical applications of AI tools for cognition management, productivity, and research.</li><li><strong>Communication and decision-making:</strong> Explaining concepts plainly and approaching problems logically.</li></ul><hr><h2 id="7-preparation-plan">7. Preparation Plan</h2><p>A four-week preparedness scheme can assistance candidates build their cognition systematically.</p> <table><tbody><tr><th><span>Week</span></th><th><span>Focus Area</span></th><th><span>Preparation Activities</span></th></tr><tr><td><span>Week 1</span></td><td><span>Capital markets fundamentals</span></td><td><span>Study equity, fixed income, abroad exchange, prosperity markets, and derivatives.</span></td></tr><tr><td><span>Week 2</span></td><td><span>Trade lifecycle</span></td><td><span>Revise command management, execution, confirmation, clearing, settlement, and post-trade activities.</span></td></tr><tr><td><span>Week 3</span></td><td><span>Business inspection and technology</span></td><td><span>Practise necessity gathering, stakeholder scenarios, documentation, and liable AI use.</span></td></tr><tr><td><span>Week 4</span></td><td><span>Interview practice</span></td><td><span>Revise key concepts, practise HR and role-specific questions, and behavior imitate interviews.</span></td></tr></tbody></table> <h3 id="pre-interview-checklist">Pre-Interview Checklist</h3><ul><li>Review the job clarification and acknowledge the skills most applicable to the role.</li><li>Prepare a concise introduction connecting your backdrop to financial services.</li><li>Revise the five financial merchandise categories listed in the JD.</li><li>Practise explaining the commerce lifecycle in the accurate sequence.</li><li>Prepare examples demonstrating analytical thinking, communication, and teamwork.</li><li>Review endeavor inspection and necessity gathering fundamentals.</li><li>Keep your university ID, scholarly certificates, and marksheets ready.</li><li>Confirm your discussion agenda and test your net association and discussion setup.</li></ul><hr><h2 id="8-career-growth-next-roles">8. Career Growth &amp; Next Roles</h2><p>The function may provision visibility to chief markets, financial services processes, endeavor analysis, and commerce support. Depending on idiosyncratic performance, additional learning, accessible opportunities, and the employer's occupation structure, connected forthcoming roles may include:</p><ol><li><strong>Business Analyst:</strong> Gather requirements, analyze endeavor problems, and assistance resolution development.</li><li><strong>Capital Markets Business Analyst:</strong> Work alongside financial products, market processes, and endeavor requirements in chief markets.</li><li><strong>Trade Support Analyst:</strong> Support trade-related processes, examine discrepancies, and coordinate alongside applicable operational teams.</li><li><strong>Investment Banking Operations Analyst:</strong> Contribute to operational processes supporting funding banking and financial transactions.</li><li><strong>Financial Services Consultant:</strong> Support inspection and betterment initiatives involving financial services processes and technology.</li></ol><p>These are explanatory occupation possibilities, not confirmed promotion paths or guaranteed outcomes at Cognizant.</p><hr><h2 id="9-conclusion">9. Conclusion</h2><p>The Cognizant Intern – ISG BFS Capital Markets function requires foundational cognition of financial products, chief markets operations, and the commerce lifecycle, alongside powerful analytical and communication skills. Understanding front-office, middle-office, and back-office functions can assistance candidates explain how distinct teams contribute to financial transactions.</p><p>Candidates should concentration on learning the concepts listed in the JD, practising endeavor inspection scenarios, and preparing apparent examples that display their capability to arrange data and resolve problems. They should additionally verify any role-specific cognition requirements alongside their placement authoritative before applying.</p><h3 id="top-tips-for-interview-success">Top Tips for Interview Success</h3><ul><li><strong>Build powerful fundamentals:</strong> Understand financial products and the chief stages of the commerce lifecycle.</li><li><strong>Learn the terminology:</strong> Be comfortable explaining clearing, settlement, confirmation, and post-trade activities.</li><li><strong>Practise organized answers:</strong> Explain your reasoning plainly and assistance answers alongside applicable examples.</li><li><strong>Demonstrate analytical thinking:</strong> Show how you acknowledge discrepancies, explain requirements, and method problems.</li><li><strong>Understand AI responsibly:</strong> Explain how AI tools can assistance investigation and efficiency during protecting confidential information.</li><li><strong>Verify eligibility:</strong> Clarify the three-to-four-year Business Analyst/Business Systems Analyst cognition necessity alongside your placement officer.</li><li><strong>Prepare your documents:</strong> Ensure your scholarly and character data is exact and prepared for verification.</li></ul> <div id="inline-toc-container" class="inline-toc-widget bg-gray-50 border border-gray-200 rounded-lg p-6 my-8 hidden"> <p class="font-serif text-xl text-gray-800 font-bold mb-4 mt-0"> Table of Content </p> <div class="gh-toc"></div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/cognizant-intern-isg-bfs-capital-markets-interview-guide-73930</guid> <pubDate>Sat, 24 Oct 2026 07:35:57 +0700</pubDate> <author><![CDATA[support@mycoding.id (Board Infinity)]]></author> </item> <item> <title><![CDATA[Cognizant Intern – Supply Chain Business Analyst Interview Guide]]></title> <description><![CDATA[Cognizant Intern – Supply Chain Business Analyst Interview Guide. Prepare for Cognizant’s Intern – Supply Chain discussion alongside skills, responsibilities, discussion questions, provision sequence concepts, and tips.]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/cognizant-intern-supply-chain-business-analyst-interview-guide-73931</link> <content:encoded><![CDATA[<div class="gh-content prose prose-lg pb-8"> <h2 id="1-about-the-intern-%E2%80%93-supply-chain-business-analyst-role">1. About the Intern – Supply Chain Business Analyst Role</h2><p>The Intern – Supply Chain Business Analyst function at Cognizant focuses on supporting presales activities, bid management, and resolution betterment for provision chain-related endeavor opportunities.</p><p>The function involves operating alongside topic matter experts, consultants, document managers, and another inner teams to collect information, acknowledge gaps in client requirements, and assistance responses to Requests for Proposals (RFPs) and Requests for Information (RFIs).</p><p>Candidates may additionally contribute to market research, cognition management, documentation, and the betterment of reusable endeavor assets.</p><h3 id="key-role-details">Key function details</h3> <table><tbody><tr><th><p><span>Detail</span></p></th><th><p><span>Information</span></p></th></tr><tr><td><p><span>Company</span></p></td><td><p><span>Cognizant</span></p></td></tr><tr><td><p><span>Job </span><span>title</span></p></td><td><p><span>Intern</span></p></td></tr><tr><td><p><span>Functional </span><span>focus</span></p></td><td><p><span>Supply </span><span>Chain </span><span>Business </span><span>Analysis </span><span>and </span><span>Presales</span></p></td></tr><tr><td><p><span>Job </span><span>location</span></p></td><td><p><span>PAN </span><span>India</span></p></td></tr><tr><td><p><span>Eligible </span><span>graduating </span><span>batch</span></p></td><td><p><span>2028</span></p></td></tr><tr><td><p><span>Eligible </span><span>qualification</span></p></td><td><p><span>Full-time, </span><span>two-year </span><span>MBA/PGDM/PGP</span></p></td></tr><tr><td><p><span>Interview </span><span>mode</span></p></td><td><p><span>Online</span></p></td></tr></tbody></table> <hr><h2 id="2-required-skills-and-qualifications">2. Required Skills and Qualifications</h2><p>Candidates should display analytical thinking, communication skills, endeavor understanding, and the capability to activity alongside multiple stakeholders.</p><h3 id="educational-qualifications">Educational qualifications</h3><ul><li>Candidates graduating in 2028 alongside a full-time, two-year MBA, PGDM, or PGP degree.</li><li>Minimum 60% total in Class 10, Class 12, and undergraduate studies at the period of joining, as stated in the JD.</li><li>Candidates must encounter the minimum graduate passing requirements and have no position arrears.</li><li>Candidates must fulfill Cognizant's stated nationality, academic-gap, and document-verification requirements.</li></ul><h3 id="technical-and-domain-knowledge">Technical and domain knowledge</h3><ul><li>Understanding of at smallest one applicable industry, specified as provision chain, existence sciences, manufacturing, retail, or person goods.</li><li>Familiarity alongside endeavor processes, project lifecycles, shipment models, and IT landscapes.</li><li>Basic understanding of provision sequence operations and endeavor problems.</li><li>Awareness of AI and generative AI applications in provision sequence solutions.</li><li>Familiarity alongside provision sequence platforms specified as Kinaxis, o9, Coupa, or Manhattan is useful.</li></ul><h3 id="professional-skills">Professional skills</h3><ul><li>Strong verbal and written communication.</li><li>Analytical thinking and problem-solving.</li><li>Stakeholder administration and teamwork.</li><li>Project administration and organizational skills.</li><li>Research, market analysis, and documentation.</li><li>A self-motivated outlook and willingness to study new technologies.</li></ul><hr><h2 id="3-day-to-day-responsibilities">3. Day-to-Day Responsibilities</h2><p>The responsibilities listed in the JD concentration on presales and bid administration assistance fairly than lone operational provision sequence activities.</p><p>1. RFP and RFI analysis: Understand client issue statements, acknowledge missing information, and assistance prepared clarification questions.</p><p>2. Stakeholder coordination: Coordinate alongside chase teams, solution-design SMEs, consultants, document managers, backing teams, and another inner stakeholders.</p><p>3. Bid resolution support: Assist the bid solutions squad in evolving agreement solutions and supporting pricing activities.</p><p>4. Business research: Conduct industry, market, and innovation investigation to acknowledge opportunities and emerging trends.</p><p>5. Process documentation: Help prepared requirements documentation, person stories, endeavor procedure documents, and connected artefacts.</p><p>6. Knowledge management: Develop case studies, reusable collateral, and standardized materials that showcase the organization's capabilities.</p><p>7. Solution improvement: Identify gaps in projected solutions and assistance examine substitute approaches to client problems.</p><p>8. Learning and cognition sharing: Participate in training, assistance knowledge-sharing sessions, and contribute to emerging innovation and industry research.</p><hr><h2 id="4-key-competencies-for-success">4. Key Competencies for Success</h2><p>Candidates should prepared to display the following competencies during interviews.</p> <table><tbody><tr><th><p><span>Competency</span></p></th><th><p><span>What </span><span>candidates </span><span>should </span><span>demonstrate</span></p></th></tr><tr><td><p><span>Analytical </span><span>thinking</span></p></td><td><p><span>Breaking </span><span>down </span><span>business </span><span>problems </span><span>and </span><span>identifying </span><span>gaps</span></p></td></tr><tr><td><p><span>Communication</span></p></td><td><p><span>Explaining </span><span>requirements </span><span>clearly </span><span>and </span><span>asking </span><span>relevant </span><span>questions</span></p></td></tr><tr><td><p><span>Stakeholder </span><span>management</span></p></td><td><p><span>Coordinating </span><span>with </span><span>teams </span><span>that </span><span>have </span><span>different </span><span>priorities</span></p></td></tr><tr><td><p><span>Supply </span><span>chain </span><span>understanding</span></p></td><td><p><span>Recognizing </span><span>common </span><span>supply </span><span>chain </span><span>processes </span><span>and </span><span>challenges</span></p></td></tr><tr><td><p><span>Research </span><span>skills</span></p></td><td><p><span>Finding </span><span>relevant </span><span>market </span><span>and </span><span>technology </span><span>insights</span></p></td></tr><tr><td><p><span>Documentation</span></p></td><td><p><span>Recording </span><span>requirements </span><span>and </span><span>writing </span><span>clear </span><span>user </span><span>stories</span></p></td></tr><tr><td><p><span>Project </span><span>management</span></p></td><td><p><span>Managing </span><span>tasks, </span><span>deadlines, </span><span>and </span><span>dependencies</span></p></td></tr><tr><td><p><span>AI </span><span>awareness</span></p></td><td><p><span>Identifying </span><span>practical </span><span>uses </span><span>of </span><span>AI </span><span>tools </span><span>in </span><span>research </span><span>and </span><span>productivity</span></p></td></tr></tbody></table> <hr><h2 id="5-interview-process-at-cognizant">5. Interview Process at Cognizant</h2><p>The provided JD confirms that interviews volition be conducted online. It additionally references registration, discussion rounds, screening, and an internship offer. However, the exact sequence and appraisal format are not sufficiently apparent in the pasted text.</p><p>Candidates should prepared for the following areas without assuming that all one is a confirmed distinct round.</p><p>1. Registration and eligibility verification: Ensure that scholarly details, individual information, and required documents are exact on the Superset platform.</p><p>2. Interview rounds: Be prepared to conversation scholarly experience, analytical thinking, communication, endeavor understanding, and role-specific scenarios.</p><p>3. Screening and verification: Keep scholarly certificates, marksheets, university ID, and another requested documents ready.</p><p>4. Internship offer: Final choice and function mapping remain at Cognizant's discretion.</p><hr><h2 id="6-topics-and-areas-of-focus">6. Topics and Areas of Focus</h2><p>Candidates should prioritize the following topics whenever preparing for the role.</p><ul><li>Business analysis: Requirements gathering, necessity documentation, person stories, gap analysis, and stakeholder workshops.</li><li>Supply sequence fundamentals: Procurement, petition planning, inventory management, logistics, warehousing, and provider coordination.</li><li>Presales and bid management: RFPs, RFIs, recommendation preparation, resolution design, and essential pricing concepts.</li><li>Project management: Project lifecycles, deadlines, dependencies, risks, and shipment models.</li><li>Industry research: Market trends, competitor analysis, innovation developments, and identifying endeavor opportunities.</li><li>AI and generative AI: Practical applications in cognition management, productivity, research, and provision sequence solutions.</li><li>Communication and teamwork: Explaining ideas clearly, resolving ambiguity, and coordinating multiple stakeholders.</li></ul><hr><h2 id="7-preparation-plan">7. Preparation Plan</h2><p>A four-week preparedness scheme can assistance candidates build the applicable cognition progressively.</p> <table><tbody><tr><th><p><span>Week</span></p></th><th><p><span>Focus </span><span>area</span></p></th><th><p><span>Preparation </span><span>activities</span></p></th></tr><tr><td><p><span>Week </span><span>1</span></p></td><td><p><span>Supply </span><span>chain </span><span>fundamentals</span></p></td><td><p><span>Study </span><span>procurement, </span><span>inventory, </span><span>demand </span><span>planning, </span><span>logistics, </span><span>and </span><span>common </span><span>industry </span><span>challenges.</span></p></td></tr><tr><td><p><span>Week </span><span>2</span></p></td><td><p><span>Business </span><span>analysis</span></p></td><td><p><span>Practise </span><span>requirement </span><span>gathering, </span><span>RFP/RFI </span><span>concepts, </span><span>user </span><span>stories, </span><span>gap </span><span>analysis, </span><span>and </span><span>documentation.</span></p></td></tr><tr><td><p><span>Week </span><span>3</span></p></td><td><p><span>Presales, </span><span>technology, </span><span>and </span><span>research</span></p></td><td><p><span>Learn </span><span>presales </span><span>fundamentals, </span><span>explore </span><span>the </span><span>listed </span><span>supply </span><span>chain </span><span>platforms, </span><span>and </span><span>study </span><span>practical </span><span>AI </span><span>use </span><span>cases.</span></p></td></tr><tr><td><p><span>Week </span><span>4</span></p></td><td><p><span>Interview </span><span>practice</span></p></td><td><p><span>Practise </span><span>HR </span><span>and </span><span>role-specific </span><span>questions, </span><span>prepare </span><span>project </span><span>examples, </span><span>and </span><span>conduct </span><span>mock </span><span>interviews.</span></p></td></tr></tbody></table> <h3 id="pre-interview-checklist">Pre-interview checklist</h3><ul><li>Review the job clarification and acknowledge examples that display applicable skills.</li><li>Prepare a concise introduction connecting your learning and cognition to the role.</li><li>Practise explaining one project, including the problem, your approach, and the outcome.</li><li>Revise provision sequence and endeavor inspection fundamentals.</li><li>Prepare examples of teamwork, problem-solving, and handling deadlines.</li><li>Keep your university ID, scholarly certificates, marksheets, and another requested documents ready.</li><li>Confirm your discussion agenda and justify your net association and discussion setup are reliable.</li></ul><hr><h2 id="8-conclusion">8. Conclusion</h2><p>The Cognizant Intern – Supply Chain Business Analyst function combines endeavor analysis, provision sequence knowledge, presales support, research, and stakeholder management. Candidates should prepared to explain how they method endeavor problems, explain requirements, communicate alongside distinct teams, and use innovation to assistance improved decisions.</p><p>A powerful preparedness scheme should balance provision sequence fundamentals alongside applicable endeavor inspection exercises, apparent communication, and examples from scholarly projects or former experience. Understanding the role's concentration on RFP/RFI inspection and bid resolution assistance volition assistance candidates prepared additional effectively.</p><h2 id="top-tips-for-interview-success">Top Tips for Interview Success</h2><ul><li>Understand the role: Focus on provision sequence presales and endeavor inspection fairly than preparing lone for broad provision sequence operations.</li><li>Use applicable examples: Explain how you analyzed a problem, coordinated alongside others, or organized information.</li><li>Communicate clearly: Structure your answers about the problem, your approach, and the result.</li><li>Learn the fundamentals: Be comfortable explaining RFPs, RFIs, person stories, stakeholder management, and provision sequence processes.</li><li>Show curiosity concerning technology: Understand the essential applications of AI and provision sequence platforms mentioned in the JD.</li><li>Be honest concerning your experience: Treat previous endeavor expert and provision sequence cognition as advantageous, since the JD describes it as fine to have fairly than mandatory.</li><li>Verify your documents: Ensure your use data matches your scholarly records and required character documents.</li></ul> <div id="inline-toc-container" class="inline-toc-widget bg-gray-50 border border-gray-200 rounded-lg p-6 my-8 hidden"> <p class="font-serif text-xl text-gray-800 font-bold mb-4 mt-0"> Table of Content </p> <div class="gh-toc"></div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/cognizant-intern-supply-chain-business-analyst-interview-guide-73931</guid> <pubDate>Sat, 24 Oct 2026 07:23:01 +0700</pubDate> <author><![CDATA[support@mycoding.id (Board Infinity)]]></author> </item> <item> <title><![CDATA[Cognizant: Interview Preparation For Intern – ISG BFS Banking Role]]></title> <description><![CDATA[Cognizant: Interview Preparation For Intern – ISG BFS Banking Role. Prepare for Cognizant’s Intern – ISG BFS Banking discussion alongside banking concepts, role-specific questions, required skills, and preparedness tips.]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/cognizant-interview-preparation-for-intern-isg-bfs-banking-role-73932</link> <content:encoded><![CDATA[<div class="gh-content prose prose-lg pb-8"> <p>The Intern – ISG BFS Banking function at Cognizant focuses on banking products and services, banking operations, endeavor requirements analysis, stakeholder collaboration and procedure improvement. The function requires an understanding of banking fundamentals, regulations, hazard administration and the capability to translate endeavor needs into functional solutions. Candidates should additionally comprehend how AI tools specified as Claude, ChatGPT and Copilot can assistance research, cognition administration and efficiency improvements.</p><p>This guide is for students preparing for the Intern – ISG BFS Banking discussion at Cognizant. It covers the function scope, required skills, day-to-day responsibilities, discussion preparation, role-specific questions, banking concepts, a four-week preparedness scheme and possible occupation growth paths.</p><hr><h2 id="1-about-the-intern-%E2%80%93-isg-bfs-banking-role">1. About the Intern – ISG BFS Banking Role</h2><p>The Intern – ISG BFS Banking function focuses on understanding banking processes and supporting the shipment of productive banking solutions. The activity involves analysing endeavor requirements, understanding banking products and operations, collaborating alongside endeavor and innovation stakeholders, and identifying opportunities for procedure improvement.</p><p>The function requires cognition of retail, corporate, business and funding banking fundamentals, alongside alongside banking regulations, compliance requirements and hazard administration principles. Candidates should additionally be acquainted alongside the applicability of AI tools specified as Claude, ChatGPT and Copilot in research, cognition administration and efficiency improvement.</p> <table><tbody><tr><th><span>Attribute</span></th><th><span>Details</span></th></tr><tr><td><span>Job Title</span></td><td><span>Intern</span></td></tr><tr><td><span>Business Area</span></td><td><span>ISG BFS Banking</span></td></tr><tr><td><span>Company</span></td><td><span>Cognizant</span></td></tr><tr><td><span>Function / Team</span></td><td><span>Banking and Financial Services</span></td></tr><tr><td><span>Key Stakeholders</span></td><td><span>Business stakeholders, innovation teams and another applicable stakeholders</span></td></tr><tr><td><span>Primary Focus</span></td><td><span>Banking processes, endeavor requirements analysis, banking solutions and procedure improvement</span></td></tr><tr><td><span>Work Arrangement</span></td><td><span>Flexibility to activity from any Cognizant agency location and throughout distinct change timings and technologies is mandatory</span></td></tr><tr><td><span>Interview Mode</span></td><td><span>Online</span></td></tr></tbody></table> <hr><h2 id="2-required-skills-and-qualifications">2. Required Skills and Qualifications</h2><h3 id="skills-overview">Skills Overview</h3> <table><tbody><tr><th><span>Skill</span></th><th><span>Type</span></th><th><span>How It Is Used in This Role</span></th></tr><tr><td><span>Banking products and services</span></td><td><span>Domain</span></td><td><span>Understanding deposits, loans, cards, payments and client lifecycle activities.</span></td></tr><tr><td><span>Banking fundamentals</span></td><td><span>Domain</span></td><td><span>Understanding retail, corporate, business and funding banking.</span></td></tr><tr><td><span>Banking operations</span></td><td><span>Domain</span></td><td><span>Understanding document servicing, transaction processing, reconciliation and settlements.</span></td></tr><tr><td><span>Business requirements analysis</span></td><td><span>Technical / Domain</span></td><td><span>Analysing endeavor needs and supporting the shipment of productive banking solutions.</span></td></tr><tr><td><span>Analytical skills</span></td><td><span>Technical</span></td><td><span>Evaluating requirements, organising data and identifying opportunities for improvement.</span></td></tr><tr><td><span>Problem-solving</span></td><td><span>Behavioral</span></td><td><span>Assessing endeavor challenges and supporting applicable solutions.</span></td></tr><tr><td><span>Banking regulations and compliance</span></td><td><span>Domain</span></td><td><span>Understanding regulatory requirements and their relevance to banking processes.</span></td></tr><tr><td><span>Risk management</span></td><td><span>Domain</span></td><td><span>Recognising banking risks and understanding the importance of suitable controls.</span></td></tr><tr><td><span>AI tool proficiency</span></td><td><span>Technical</span></td><td><span>Using Claude, ChatGPT and Copilot for research, cognition administration and efficiency improvements.</span></td></tr><tr><td><span>Written communication</span></td><td><span>Soft</span></td><td><span>Documenting requirements, organising data and communicating findings clearly.</span></td></tr><tr><td><span>Verbal communication</span></td><td><span>Soft</span></td><td><span>Discussing endeavor requirements and collaborating alongside stakeholders.</span></td></tr><tr><td><span>Stakeholder management</span></td><td><span>Behavioral</span></td><td><span>Working efficiently alongside endeavor and innovation teams to comprehend needs.</span></td></tr><tr><td><span>Business procedure understanding</span></td><td><span>Domain</span></td><td><span>Understanding how banking activities activity and anywhere processes may be improved.</span></td></tr><tr><td><span>Requirements organisation</span></td><td><span>Technical</span></td><td><span>Structuring endeavor data so that requirements can be understood and translated into functional solutions.</span></td></tr><tr><td><span>Educational qualification</span></td><td><span>Academic</span></td><td><span>Meeting the stated degree, certificate and graduate eligibility requirements.</span></td></tr></tbody></table> <h3 id="academic-qualifications-and-eligibility">Academic Qualifications and Eligibility</h3><p>Candidates should carefully assessment the eligibility conditions stated in the hiring notice.</p> <table><tbody><tr><th><span>Requirement</span></th><th><span>Details</span></th></tr><tr><td><span>Postgraduate qualification</span></td><td><span>Full-time, two-year MBA / PGDM / PGP degree</span></td></tr><tr><td><span>Graduation year</span></td><td><span>2028</span></td></tr><tr><td><span>Class 10, Class 12 and UG marks</span></td><td><span>Minimum total of 60% at the period of joining, as stated in the hiring notice</span></td></tr><tr><td><span>Postgraduate marks</span></td><td><span>Minimum passing percent alongside no position arrears</span></td></tr><tr><td><span>CGPA conversion</span></td><td><span>As per university norms</span></td></tr><tr><td><span>Nationality</span></td><td><span>Indian Nationals and Overseas Citizens of India (OCIs)</span></td></tr><tr><td><span>Education or expert gap</span></td><td><span>No gap exceeding three years</span></td></tr><tr><td><span>Work flexibility</span></td><td><span>Willingness to activity from any Cognizant agency location, throughout distinct shifts and technologies</span></td></tr><tr><td><span>Citizenship verification</span></td><td><span>Voter ID, passport or OCI documentation, as applicable</span></td></tr></tbody></table> <p>The hiring notice additionally mentions 3–4 years of cognition in a Business Analyst / Business Systems Analyst (BA/BSA) function and cognition in the financial or banking industry. Candidates should verify how this cognition necessity applies to the advertised internship and their eligibility before proceeding.</p><hr><h2 id="3-day-to-day-responsibilities">3. Day-to-Day Responsibilities</h2><p>The function clarification focuses on understanding banking requirements, supporting banking solutions, collaborating alongside stakeholders and assisting enhance endeavor processes. The following responsibilities indicate those stated areas of work.</p><h3 id="1-understand-banking-products-and-services">1. Understand Banking Products and Services</h3><p>You need to comprehend the banking products and services that customers and businesses use. These contain deposits, loans, cards and payments, as fine as the client lifecycle. This cognition helps you comprehend the endeavor environment rearward banking requirements.</p><h3 id="2-understand-banking-operations">2. Understand Banking Operations</h3><p>You should comprehend operational activities specified as document servicing, transaction processing, reconciliation and settlements. Familiarity alongside these processes helps you comprehend how banking activities are carried out and anywhere operational challenges may arise.</p><h3 id="3-analyse-business-requirements">3. Analyse Business Requirements</h3><p>You assistance the inspection of endeavor requirements to assistance provision productive banking solutions. This involves understanding the endeavor need, organising the applicable data and identifying what the projected resolution should achieve.</p><h3 id="4-collaborate-with-stakeholders">4. Collaborate With Stakeholders</h3><p>You activity alongside endeavor and innovation stakeholders to comprehend their needs and explain requirements. Effective collaboration helps justify that endeavor expectations are understood and can be translated into functional solutions.</p><h3 id="5-identify-process-improvements">5. Identify Process Improvements</h3><p>You assistance acknowledge opportunities to enhance endeavor processes by analysing requirements and understanding existing banking activities. The goal is to assistance applicable improvements that location endeavor needs.</p><h3 id="6-understand-banking-regulations-and-risk">6. Understand Banking Regulations and Risk</h3><p>You need to comprehend banking regulations, compliance requirements and hazard administration principles. This cognition provides crucial environment whenever analysing banking processes and considering imaginable solutions.</p><h3 id="7-use-ai-tools-for-research-and-productivity">7. Use AI Tools for Research and Productivity</h3><p>The function requires visibility to AI tools specified as Claude, ChatGPT and Copilot. You should comprehend how these tools may assistance research, cognition administration and efficiency improvements during ensuring that data is reviewed for accuracy and suitability.</p><hr><h2 id="4-key-competencies-for-success">4. Key Competencies for Success</h2><p>Success in this function depends on combining banking cognition alongside analytical thinking, apparent communication and productive stakeholder collaboration.</p> <table><tbody><tr><th><span>Competency</span></th><th><span>Why It Differentiates Strong Candidates</span></th><th><span>How to Demonstrate It in the Interview</span></th></tr><tr><td><span>Banking knowledge</span></td><td><span>Understanding banking products and operations helps candidates construe endeavor requirements in the accurate context.</span></td><td><span>Explain the differences between deposits, loans, cards and payments, and depict how banking operations assistance them.</span></td></tr><tr><td><span>Analytical thinking</span></td><td><span>Business requirements need to be organised and evaluated before suitable solutions can be identified.</span></td><td><span>Explain how you would interrupt downward a endeavor issue into requirements, priorities and expected outcomes.</span></td></tr><tr><td><span>Problem-solving</span></td><td><span>Banking processes can affect operational challenges that necessitate organized analysis.</span></td><td><span>Describe a issue you analysed and explain how you evaluated imaginable solutions.</span></td></tr><tr><td><span>Requirements analysis</span></td><td><span>Clear requirements assistance endeavor and innovation teams comprehend what a resolution needs to accomplish.</span></td><td><span>Explain how you would gather, clarify, organise and validate endeavor requirements.</span></td></tr><tr><td><span>Stakeholder collaboration</span></td><td><span>Business and innovation teams need to portion a average understanding of the required solution.</span></td><td><span>Give an example of operating alongside distinct group to comprehend needs and coordinate a task.</span></td></tr><tr><td><span>Communication</span></td><td><span>Clear written and verbal communication helps forestall misunderstandings during requirements analysis.</span></td><td><span>Explain a complex topic in uncomplicated tongue or depict how you would document a endeavor requirement.</span></td></tr><tr><td><span>Regulatory awareness</span></td><td><span>Banking requirements must be considered in the environment of compliance and risk.</span></td><td><span>Discuss why regulatory requirements and hazard considerations matter whenever designing banking solutions.</span></td></tr><tr><td><span>AI tool awareness</span></td><td><span>AI tools can assistance research, cognition administration and efficiency whenever used appropriately.</span></td><td><span>Describe a applicable use case for ChatGPT, Claude or Copilot and explain how you would verify its output.</span></td></tr></tbody></table> <hr><h2 id="5-interview-process-at-cognizant">5. Interview Process at Cognizant</h2><p>The hiring notice states that interviews volition be conducted online. It does not define the exact figure of rounds or the sequence of assessments. Candidates should prepared for questions connected to the function clarification and prosecute the authoritative instructions provided through their placement agency and the Superset platform.</p><h3 id="1-academic-and-eligibility-verification">1. Academic and Eligibility Verification</h3><p>Candidates have to be prepared to verify their instructional qualifications, marks, graduation twelvemonth and another eligibility details. The hiring notice requires applicable scholarly documents and states that additional documents may be requested during verification.</p><h3 id="2-banking-knowledge-and-fundamentals">2. Banking Knowledge and Fundamentals</h3><p>Prepare to explain banking products, banking segments, banking operations, compliance requirements and hazard administration principles. Your answers should display an understanding of how these concepts connect to endeavor requirements and banking solutions.</p><h3 id="3-business-analysis-and-problem-solving">3. Business Analysis and Problem-Solving</h3><p>Practise analysing a endeavor requirement, identifying missing information, organising requirements and explaining how a endeavor need can be translated into a functional solution. Be prepared to conversation procedure improvements and stakeholder collaboration.</p><h3 id="4-communication-and-stakeholder-discussion">4. Communication and Stakeholder Discussion</h3><p>Prepare to explain endeavor and banking concepts clearly, depict how you would explain stakeholder needs and display how you would activity alongside endeavor and innovation teams.</p><p>⚠️ <strong>Common Preparation Mistake</strong></p><p>Candidates may concentration lone on memorising banking definitions. For this role, prepared to nexus banking cognition alongside requirements analysis, procedure improvement, stakeholder collaboration and the shipment of productive banking solutions.</p><hr><h2 id="6-topics-and-areas-of-focus">6. Topics and Areas of Focus</h2><p>Preparation should concentration on the banking concepts and endeavor inspection activities stated in the job description. Candidates should comprehend the fundamentals and practise applying them to endeavor requirements and process-related situations.</p> <table><tbody><tr><th><span>Topic / Area</span></th><th><span>Why It Is Evaluated</span></th><th><span>Recommended Preparation</span></th></tr><tr><td><span>Banking products and services</span></td><td><span>The function requires cognition of deposits, loans, cards, payments and client lifecycle activities.</span></td><td><span>Prepare uncomplicated explanations of all merchandise or assistance and comprehend its purpose.</span></td></tr><tr><td><span>Retail, corporate, business and funding banking</span></td><td><span>Candidates are expected to comprehend the fundamentals of distinct banking segments.</span></td><td><span>Learn the essential differences between these segments and the services they support.</span></td></tr><tr><td><span>Banking operations</span></td><td><span>Account servicing, transaction processing, reconciliation and settlements are stated in the function description.</span></td><td><span>Understand all action and how it contributes to banking operations.</span></td></tr><tr><td><span>Business requirements analysis</span></td><td><span>The function involves analysing endeavor requirements and supporting productive banking solutions.</span></td><td><span>Practise identifying endeavor needs, clarifying requirements and organising findings.</span></td></tr><tr><td><span>Functional solutions</span></td><td><span>Business needs must be translated into requirements that can guide a solution.</span></td><td><span>Practise explaining how a endeavor goal can be converted into apparent functional requirements.</span></td></tr><tr><td><span>Stakeholder management</span></td><td><span>The function requires collaboration throughout endeavor and innovation teams.</span></td><td><span>Prepare examples of clarifying needs, communicating data and managing differing expectations.</span></td></tr><tr><td><span>Banking regulations and compliance</span></td><td><span>Regulatory requirements are an crucial part of the banking environment.</span></td><td><span>Review the intent of compliance and comprehend why requirements must document for applicable regulations.</span></td></tr><tr><td><span>Risk management</span></td><td><span>Banking solutions and processes need to regard risk.</span></td><td><span>Understand essential hazard administration principles and how hazard considerations power endeavor decisions.</span></td></tr><tr><td><span>Analytical and problem-solving skills</span></td><td><span>The function requires evaluating endeavor requirements and supporting procedure improvements.</span></td><td><span>Practise breaking a issue into smaller parts and explaining your reasoning.</span></td></tr><tr><td><span>AI tools and productivity</span></td><td><span>The JD mentions Claude, ChatGPT and Copilot for research, cognition administration and efficiency improvements.</span></td><td><span>Identify applicable use cases and practise verifying AI-generated outputs.</span></td></tr><tr><td><span>Written and verbal communication</span></td><td><span>Clear communication supports requirements inspection and stakeholder collaboration.</span></td><td><span>Practise penning concise necessity summaries and explaining banking concepts aloud.</span></td></tr></tbody></table> <hr><h2 id="7-preparation-plan">7. Preparation Plan</h2> <table><tbody><tr><th><span>Week</span></th><th><span>Focus Area</span></th><th><span>Daily Target</span></th><th><span>Resources</span></th></tr><tr><td><span>Week 1</span></td><td><span>Banking products and fundamentals</span></td><td><span>Study one banking merchandise or banking section regular and compose a abbreviated clarification of its purpose.</span></td><td><span>Banking merchandise and assistance materials</span></td></tr><tr><td><span>Week 2</span></td><td><span>Banking operations and endeavor analysis</span></td><td><span>Review operational concepts and practise organising a endeavor necessity into apparent points.</span></td><td><span>Banking operations materials and endeavor inspection notes</span></td></tr><tr><td><span>Week 3</span></td><td><span>Stakeholder administration and case questions</span></td><td><span>Practise one endeavor circumstance and one stakeholder communication inquiry daily.</span></td><td><span>Role-specific custom questions and individual notes</span></td></tr><tr><td><span>Week 4</span></td><td><span>Mock interviews and revision</span></td><td><span>Practise discussion answers, assessment feeble topics and refine explanations.</span></td><td><span>Mock discussion custom and revision notes</span></td></tr></tbody></table> <h3 id="pre-interview-checklist">Pre-Interview Checklist</h3><ul><li>Review the chief banking products: deposits, loans, cards and payments.</li><li>Understand retail, corporate, business and funding banking fundamentals.</li><li>Revise document servicing, transaction processing, reconciliation and settlements.</li><li>Practise explaining endeavor requirements inspection and functional solutions.</li><li>Prepare examples of analytical thinking and problem-solving.</li><li>Understand the importance of banking regulations, compliance and hazard management.</li><li>Prepare a applicable use case for Claude, ChatGPT or Copilot in investigation or cognition management.</li><li>Practise explaining requirements plainly to endeavor and innovation stakeholders.</li><li>Keep your resume, university ID, scholarly certificates and marksheets prepared as stated in the hiring notice.</li><li>Review the eligibility criteria and justify your registration data is accurate.</li></ul><hr><h2 id="8-conclusion">8. Conclusion</h2><p>To prepared for the Intern – ISG BFS Banking discussion at Cognizant, concentration on understanding banking products, banking operations and endeavor requirements analysis. Candidates should additionally display analytical thinking, stakeholder collaboration, communication skills and awareness of compliance and hazard management.</p><p>Before the interview, prepared apparent explanations of center banking concepts, practise translating endeavor needs into functional requirements and create examples that display problem-solving. Review the authoritative eligibility criteria carefully, as the hiring notice includes particular academic, records and cognition conditions.</p><p>Choose a banking procedure specified as payments, document servicing or reconciliation. Write downward its purpose, the endeavor requirements involved, the stakeholders who may be applicable and one imaginable procedure improvement. Practise explaining your inspection in uncomplicated language.</p><h3 id="top-tips-for-interview-success">Top Tips for Interview Success</h3><ul><li>Explain banking concepts plainly and nexus them to endeavor requirements.</li><li>Understand the differences between retail, corporate, business and funding banking.</li><li>Practise organising endeavor requirements into clear, actionable points.</li><li>Show how you would collaborate alongside endeavor and innovation stakeholders.</li><li>Demonstrate organized analytical thinking whenever discussing procedure improvements.</li><li>Explain why compliance and hazard administration matter in banking.</li><li>Prepare a applicable example of using AI tools for investigation or cognition management, including how you would verify their outputs.</li><li>Check the authoritative eligibility criteria and keep the required scholarly and character documents ready.</li></ul> <div id="inline-toc-container" class="inline-toc-widget bg-gray-50 border border-gray-200 rounded-lg p-6 my-8 hidden"> <p class="font-serif text-xl text-gray-800 font-bold mb-4 mt-0"> Table of Content </p> <div class="gh-toc"></div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/cognizant-interview-preparation-for-intern-isg-bfs-banking-role-73932</guid> <pubDate>Sat, 24 Oct 2026 07:06:52 +0700</pubDate> <author><![CDATA[support@mycoding.id (Board Infinity)]]></author> </item> <item> <title><![CDATA[Apa Saja 3 Tingkatan AI?]]></title> <description><![CDATA[Apa Saja 3 Tingkatan AI?. Channel ini menyajikan materi seputar Data Science &amp; Artificial Intelligence, Networking &amp; Cyber Security, serta Database &amp; Programming. Seluruh mat...]]></description> <media:thumbnail url="https://i1.ytimg.com/vi/_oUtl-9yrag/maxresdefault.jpg"/> <category><![CDATA[Indonesian]]></category> <link>https://en.mycoding.id/apa-saja-3-tingkatan-ai-73933</link> <content:encoded><![CDATA[<p class="embed-responsive embed-responsive-16by9 post-embed"><iframe width="560" height="315" aria-label="Preview" class="embed-responsive-item" src="https://www.youtube.com/embed/_oUtl-9yrag?autoplay=1&amp;mute=1&amp;playsinline=1&amp;rel=0" title="YouTube video player" frameborder="0" allow="autoplay; accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></p><h2>Apa Saja 3 Tingkatan AI?</h2><p>Channel ini menyajikan materi seputar Data Science &amp; Artificial Intelligence, Networking &amp; Cyber Security, serta Database &amp; Programming. Seluruh materi disusun secara sistematis untuk membantu Anda memahami konsep, teknologi, dan praktik yang digunakan di bumi teknologi informasi, mulai dari tingkat alas hingga lanjutan. Setiap bahasan berfokus pada pengembangan keahlian melalui materi yang gampang dipahami, relevan dengan kebutuhan industri, dan disampaikan untuk tujuan edukasi. Seluruh konten mengedepankan implementasi teknologi secara legal, etis, dan bertanggung jawab, sehingga dapat menjadi rujukan belajar bagi pelajar, mahasiswa, maupun profesional. Jika Anda mau mengembangkan kapasitas di sektor pemrograman, pengelolaan data, kecerdasan buatan, jaringan komputer, maupun keamanan siber, channel ini menyediakan materi yang dapat membantu membangun fondasi ilmu sekaligus menaikkan keahlian secara bertahap. Playlist video terkait: ▪ https://www.youtube.com/playlist?list=PLZGgeqmsm32s ▪ https://www.youtube.com/playlist?list=PLZomBNpDl3vc ▪ https://www.youtube.com/playlist?list=PLE5VyXMZkzb8 PEMBAHASAN MATERI Playlist Materi Ilmu Komputer berisi kumpulan video pembelajaran, tutorial, klarifikasi konsep, studi kasus, demo, dan bahasan komplit seputar beragam sektor dalam ilmu komputer. Materi yang disajikan mencakup alas hingga tingkat lanjut, mulai dari pemrograman, pengelolaan database, jaringan komputer, keamanan siber, mekanisme operasi, pengembangan alat lunak, arsitektur komputer, hingga beragam teknologi yang digunakan dalam bumi komputasi modern. Temukan bahasan mengenai komputer dan pemrograman, algoritma, struktur data, PHP, JavaScript, Python, Laravel, MySQL, PostgreSQL, API, rekayasa alat lunak, database, jaringan komputer, pengelolaan server, cloud computing, virtualisasi, Linux, Windows Server, keamanan jaringan, cyber security, ethical hacking, kriptografi, keamanan aplikasi, DevOps, Internet of Things (IoT), kecerdasan buatan (AI), machine learning, serta beragam konsep, teknologi, dan praktik terbaik di sektor ilmu komputer. Playlist ini cocok bagi pelajar, mahasiswa, programmer, web developer, software engineer, pengelola sistem, ahli IT, maupun siapa saja yang mau mempelajari dan memperdalam wawasan di bumi ilmu komputer secara menyeluruh. CONTACT US ▪ Email support@mycoding.id ▪ WhatsApp https://wa.me/6281274309663 ▪ Telegram https://t.me/mycodingxd OFFICIAL LINKS ▪ Web https://mycoding.id ▪ Blog https://blog.mycoding.id ▪ News https://en.mycoding.id ▪ Apps https://play.google.com/store/apps/dev?id=5237501547073493079 SOCIAL MEDIA ▪ https://linkedin.com/company/mycodingxd ▪ https://facebook.com/mycodingxd ▪ https://instagram.com/mycodingxd ▪ https://tiktok.com/@mycodingxd ▪ https://twitter.com/mycoding_xd ▪ https://pinterest.com/mycoding_xd CHANNEL LINKS ▪ YouTube https://safelink.asia/youtube ▪ DailyMotion https://safelink.asia/dailymotion ▪ WhatsApp https://safelink.asia/whatsapp ▪ Telegram https://safelink.asia/telegram Powered by https://linkedin.com/company/401XDGroup #CyberSecurity #ArtificialIntelligence #Networking #DataScience #Programming #Database</p>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/apa-saja-3-tingkatan-ai-73933</guid> <pubDate>Sat, 24 Oct 2026 07:00:32 +0700</pubDate> <author><![CDATA[support@mycoding.id (Mc Project)]]></author> </item> <item> <title><![CDATA[Hacker reverses Samsung TV, finds on-board AI listening OpenAI account suspended]]></title> <description><![CDATA[Hacker reverses Samsung TV, finds on-board AI listening OpenAI account suspended. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/hacker-reverses-samsung-tv-finds-on-board-ai-listening-openai-account-suspended-73934</link> <content:encoded><![CDATA[<div><div><p>You've been blocked by network security.</p><div><div><p>To continue, log in to your Reddit document or use your developer token</p><p>If you think you've been blocked by mistake, document a ticket below and we'll appearance into it.</p><div><p><a href="https://en.mycoding.id/category/technology" target="_blank" rpl><span><span>Log in</span> </span></a><a href="https://en.mycoding.id/category/technology" target="_blank" rpl><span><span>File a ticket</span></span></a></p></div></div></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/hacker-reverses-samsung-tv-finds-on-board-ai-listening-openai-account-suspended-73934</guid> <pubDate>Sat, 24 Oct 2026 06:49:57 +0700</pubDate> <author><![CDATA[support@mycoding.id (Putri Silvia)]]></author> </item> <item> <title><![CDATA[8 Profound Alternatives With a Free Trial in 2026]]></title> <description><![CDATA[8 Profound Alternatives With a Free Trial in 2026. Explore 8 Profound alternatives alongside liberated trials in 2026. Compare features, pricing, and capabilities to discover the correct tool for your needs.]]></description> <media:thumbnail url="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-10ca2d6d-32c4-4d2c-9d8b-1a2b3e93e7a8.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/8-profound-alternatives-with-a-free-trial-in-2026-73928</link> <content:encoded><![CDATA[<div class="gh-content prose prose-lg pb-8"> <p>AI hunt tracking tools are easier to fairness following a week of genuine data than following a demo. A liberated test shows how a tool reports brand mentions, which engines it covers, and whether its data fits a team's workflow. For many teams, the test is the deciding step.</p><p>Profound offers a liberated Trial too. As of October 2026, it runs 50 prompts regular for seven days on ChatGPT, Gemini, and Google AI Overviews, using a recommended industry immediate set that can't be customized. Ongoing tracking afterward moves to a tradition Enterprise plan. This guide covers eight alternatives alongside liberated trials, what all test includes, and what the paid plans disbursal afterward. OtterlyAI is listed first, and all admission is according to published vendor information.</p><p><strong>TL;DR</strong></p><ul><li>OtterlyAI is the recommended starting item for most teams: its liberated test runs a team's own prompts alongside no credit card, and paid plans commencement at $29 per month.</li><li>Peec AI, LLM Pulse, ZipTie, and Scrunch are dedicated AI visibility platforms alongside trials ranging from seven to 14 days.</li><li>Semrush, Nightwatch, and Writesonic add AI tracking to SEO or satisfied tools and recommendation trials of seven or 14 days.</li><li>Profound fits finest for ample enterprises that need up to nine engines and SOC 2 Type II under a tradition contract.</li></ul><h3 id="what-to-check-in-a-free-trial"><strong>What to inspect in a liberated trial</strong></h3><p>Four questions create any test additional useful:</p><ul><li><strong>Prompts:</strong> Does the test run the team's own questions, or a preset list?</li><li><strong>Coverage:</strong> Which AI hunt engines does the test include?</li><li><strong>Commitment:</strong> How lengthy does it last, and does it necessitate fee details?</li><li><strong>After the trial:</strong> Is the paid cost published, or does it necessitate a revenue call?</li></ul><h3 id="the-eight-trials-at-a-glance"><strong>The eight trials at a glance</strong></h3> <table><thead><tr><th scope="col"><p dir="ltr"><span>Tool</span></p></th><th scope="col"><p dir="ltr"><span>Free trial</span></p></th><th scope="col"><p dir="ltr"><span>Paid plans from (October 2026)</span></p></th><th scope="col"><p dir="ltr"><span>Engines on paid plans</span></p></th></tr></thead><tbody><tr><td><p dir="ltr"><span>OtterlyAI</span></p></td><td><p dir="ltr"><span>Own prompts, no credit card</span></p></td><td><p dir="ltr"><span>$29 per duration (15 prompts)</span></p></td><td><p dir="ltr"><span>Four included, three add-ons</span></p></td></tr><tr><td><p dir="ltr"><span>Peec AI</span></p></td><td><p dir="ltr"><span>Free test available</span></p></td><td><p dir="ltr"><span>€85 per duration (50 prompts)</span></p></td><td><p dir="ltr"><span>Three models per scheme from six</span></p></td></tr><tr><td><p dir="ltr"><span>LLM Pulse</span></p></td><td><p dir="ltr"><span>14 days, fee method required</span></p></td><td><p dir="ltr"><span>€49 per duration (50 prompts)</span></p></td><td><p dir="ltr"><span>Five engines, weekly refresh</span></p></td></tr><tr><td><p dir="ltr"><span>ZipTie</span></p></td><td><p dir="ltr"><span>Seven days, 25 regular prompts</span></p></td><td><p dir="ltr"><span>$42.75 per month, usage-based</span></p></td><td><p dir="ltr"><span>Seven engines</span></p></td></tr><tr><td><p dir="ltr"><span>Scrunch</span></p></td><td><p dir="ltr"><span>Seven days, 100 prompts, three leaf audits</span></p></td><td><p dir="ltr"><span>$250 per duration (125 prompts)</span></p></td><td><p dir="ltr"><span>Four on Core, nine on Enterprise</span></p></td></tr><tr><td><p dir="ltr"><span>Semrush AI Visibility Toolkit</span></p></td><td><p dir="ltr"><span>Seven days</span></p></td><td><p dir="ltr"><span>$99 per duration per domain (25 prompts)</span></p></td><td><p dir="ltr"><span>ChatGPT, Google AI, Gemini, Perplexity</span></p></td></tr><tr><td><p dir="ltr"><span>Nightwatch</span></p></td><td><p dir="ltr"><span>14 days</span></p></td><td><p dir="ltr"><span>€79 per duration billed annually (50 AI prompts)</span></p></td><td><p dir="ltr"><span>Six AI platforms</span></p></td></tr><tr><td><p dir="ltr"><span>Writesonic</span></p></td><td><p dir="ltr"><span>Seven days</span></p></td><td><p dir="ltr"><span>$79 per duration billed annually (50 prompts)</span></p></td><td><p dir="ltr"><span>Three on Starter, eight on Enterprise</span></p></td></tr></tbody></table> <p><em>Pricing and test conditions were checked in October 2026 and alter often. Confirm them on all vendor's location before signing up.</em></p><h3 id="dedicated-ai-visibility-platforms"><strong>Dedicated AI visibility platforms</strong></h3><figure class="kg-card kg-image-card"><img src="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-c26ea5a4-ec29-4c29-8319-52770123ecf5.png" class="kg-image" alt="" loading="lazy" width="1535" height="785" srcset="https://www.boardinfinity.com/blog/content/images/size/w600/2026/10/data-src-image-c26ea5a4-ec29-4c29-8319-52770123ecf5.png 600w, https://www.boardinfinity.com/blog/content/images/size/w1000/2026/10/data-src-image-c26ea5a4-ec29-4c29-8319-52770123ecf5.png 1000w, https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-c26ea5a4-ec29-4c29-8319-52770123ecf5.png 1535w" sizes=" 720px) 720px"></figure><p><strong>1. </strong><a href="https://en.mycoding.id/category/technology" target="_blank"><strong>OtterlyAI</strong></a></p><p>OtterlyAI is an AI hunt optimization phase whose liberated test runs a team's own prompts and needs no credit card. Paid plans are published: Lite at $29 per duration for 15 prompts, Standard at $189 for 100, and Premium at $489 for 400, alongside 15% off annual billing. Every paid scheme tracks ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot daily, alongside Claude, Google AI Mode, and Gemini as paid add-ons. Plans contain unlimited squad members and a GEO (Generative Engine Optimization) Audit that runs on any URL.</p><p><em>Fits finest when:</em> a squad wants test results on its own buyer questions and a published cost for what comes next. For most teams exterior an endeavor procurement process, it is the applicable starting point.</p><figure class="kg-card kg-image-card"><img src="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-68553313-cf18-4c44-9966-beb250198e6d.png" class="kg-image" alt="" loading="lazy" width="1654" height="618" srcset="https://www.boardinfinity.com/blog/content/images/size/w600/2026/10/data-src-image-68553313-cf18-4c44-9966-beb250198e6d.png 600w, https://www.boardinfinity.com/blog/content/images/size/w1000/2026/10/data-src-image-68553313-cf18-4c44-9966-beb250198e6d.png 1000w, https://www.boardinfinity.com/blog/content/images/size/w1600/2026/10/data-src-image-68553313-cf18-4c44-9966-beb250198e6d.png 1600w, https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-68553313-cf18-4c44-9966-beb250198e6d.png 1654w" sizes=" 720px) 720px"></figure><p><strong>2. Peec AI</strong></p><p>Peec AI is a dedicated AI visibility phase that runs prompts regular and benchmarks a brand against named competitors, and it offers a liberated trial. Starter expenses €85 per duration for 50 prompts, or €70 billed annually. Each scheme tracks three models chosen from six, alongside Perplexity and another models as paid add-ons, and all plans contain unlimited users.</p><p><em>Fits finest when:</em> regular tracking alongside competitor benchmarking is the priority.</p><figure class="kg-card kg-image-card"><img src="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-e6d306b4-a445-495d-a5f3-e865e551f5ff.png" class="kg-image" alt="" loading="lazy" width="1586" height="757" srcset="https://www.boardinfinity.com/blog/content/images/size/w600/2026/10/data-src-image-e6d306b4-a445-495d-a5f3-e865e551f5ff.png 600w, https://www.boardinfinity.com/blog/content/images/size/w1000/2026/10/data-src-image-e6d306b4-a445-495d-a5f3-e865e551f5ff.png 1000w, https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-e6d306b4-a445-495d-a5f3-e865e551f5ff.png 1586w" sizes=" 720px) 720px"></figure><p><strong>3. LLM Pulse</strong></p><p>LLM Pulse is a dedicated AI visibility phase alongside a 14-day liberated test on its archetypal three plans, which requires a fee method. Paid plans commencement at €49 per duration for 50 prompts throughout five engines: ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews. Self-serve plans refresh weekly and contain unlimited seats.</p><p><em>Fits finest when:</em> weekly data is adequate and a larger immediate figure at a low admission cost is the priority.</p><figure class="kg-card kg-image-card"><img src="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-3bb52007-7041-4c0a-acfe-a01b46135fee.png" class="kg-image" alt="" loading="lazy" width="1644" height="842" srcset="https://www.boardinfinity.com/blog/content/images/size/w600/2026/10/data-src-image-3bb52007-7041-4c0a-acfe-a01b46135fee.png 600w, https://www.boardinfinity.com/blog/content/images/size/w1000/2026/10/data-src-image-3bb52007-7041-4c0a-acfe-a01b46135fee.png 1000w, https://www.boardinfinity.com/blog/content/images/size/w1600/2026/10/data-src-image-3bb52007-7041-4c0a-acfe-a01b46135fee.png 1600w, https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-3bb52007-7041-4c0a-acfe-a01b46135fee.png 1644w" sizes=" 720px) 720px"></figure><p><strong>4. ZipTie</strong></p><p>ZipTie is an AI hunt tracking phase from the squad rearward the Onely SEO agency, alongside a seven-day liberated test that runs 25 regular prompts. Paid pricing is usage-based from $42.75 per duration and covers seven engines, including Google AI Mode, Gemini, and Microsoft Copilot. Plans contain unlimited seats and projects.</p><p><em>Fits finest when:</em> pricing needs to measure alongside the prompts and engines chosen.</p><figure class="kg-card kg-image-card"><img src="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-8bcc72d1-1b71-4e2b-bd48-ec591b486d93.png" class="kg-image" alt="" loading="lazy" width="1894" height="793" srcset="https://www.boardinfinity.com/blog/content/images/size/w600/2026/10/data-src-image-8bcc72d1-1b71-4e2b-bd48-ec591b486d93.png 600w, https://www.boardinfinity.com/blog/content/images/size/w1000/2026/10/data-src-image-8bcc72d1-1b71-4e2b-bd48-ec591b486d93.png 1000w, https://www.boardinfinity.com/blog/content/images/size/w1600/2026/10/data-src-image-8bcc72d1-1b71-4e2b-bd48-ec591b486d93.png 1600w, https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-8bcc72d1-1b71-4e2b-bd48-ec591b486d93.png 1894w" sizes=" 720px) 720px"></figure><p><strong>5. Scrunch</strong></p><p>Scrunch is an AI visibility phase whose seven-day liberated test includes 100 prompts and three leaf audits. Its Core scheme expenses $250 per duration for 125 prompts throughout ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot, and Enterprise is tradition alongside nine engines. Sitecore announced its acquisition of Scrunch on June 3, 2026.</p><p><em>Fits finest when:</em> a ample location needs AI visibility tied to satisfied delivery.</p><h3 id="seo-and-content-suites-with-ai-tracking"><strong>SEO and satisfied suites alongside AI tracking</strong></h3><figure class="kg-card kg-image-card"><img src="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-443bf4d0-83ca-4c89-96db-c1754cfac16b.png" class="kg-image" alt="" loading="lazy" width="1431" height="734" srcset="https://www.boardinfinity.com/blog/content/images/size/w600/2026/10/data-src-image-443bf4d0-83ca-4c89-96db-c1754cfac16b.png 600w, https://www.boardinfinity.com/blog/content/images/size/w1000/2026/10/data-src-image-443bf4d0-83ca-4c89-96db-c1754cfac16b.png 1000w, https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-443bf4d0-83ca-4c89-96db-c1754cfac16b.png 1431w" sizes=" 720px) 720px"></figure><p><strong>6. Semrush AI Visibility Toolkit</strong></p><p>The Semrush AI Visibility Toolkit tracks brand mentions in AI answers and comes alongside a seven-day liberated trial. It expenses $99 per duration per domain alongside 25 tracked prompts, covering ChatGPT, Google AI, Gemini, and Perplexity.</p><p><em>Fits finest when:</em> a squad already plant in Semrush and tracks a sole domain.</p><figure class="kg-card kg-image-card"><img src="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-e5fb01c0-9c71-43b2-bf88-77baa8aa08ac.png" class="kg-image" alt="" loading="lazy" width="1288" height="869" srcset="https://www.boardinfinity.com/blog/content/images/size/w600/2026/10/data-src-image-e5fb01c0-9c71-43b2-bf88-77baa8aa08ac.png 600w, https://www.boardinfinity.com/blog/content/images/size/w1000/2026/10/data-src-image-e5fb01c0-9c71-43b2-bf88-77baa8aa08ac.png 1000w, https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-e5fb01c0-9c71-43b2-bf88-77baa8aa08ac.png 1288w" sizes=" 720px) 720px"></figure><p><strong>7. Nightwatch</strong></p><p>Nightwatch combines SEO position tracking alongside AI tracking and offers a 14-day liberated trial. Starter expenses €79 per duration billed annually for 500 keywords and 50 AI prompts, alongside AI tracking throughout ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. Plans contain unlimited seats.</p><p><em>Fits finest when:</em> position tracking remains the chief job and AI tracking is a secondary need.</p><figure class="kg-card kg-image-card"><img src="https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-10ca2d6d-32c4-4d2c-9d8b-1a2b3e93e7a8.png" class="kg-image" alt="" loading="lazy" width="1570" height="793" srcset="https://www.boardinfinity.com/blog/content/images/size/w600/2026/10/data-src-image-10ca2d6d-32c4-4d2c-9d8b-1a2b3e93e7a8.png 600w, https://www.boardinfinity.com/blog/content/images/size/w1000/2026/10/data-src-image-10ca2d6d-32c4-4d2c-9d8b-1a2b3e93e7a8.png 1000w, https://www.boardinfinity.com/blog/content/images/2026/10/data-src-image-10ca2d6d-32c4-4d2c-9d8b-1a2b3e93e7a8.png 1570w" sizes=" 720px) 720px"></figure><p><strong>8. Writesonic</strong></p><p>Writesonic bundles satisfied creation, SEO tools, and GEO tracking, and it offers a seven-day liberated trial. Starter expenses $79 per duration billed annually for 50 prompts throughout ChatGPT, Gemini, and Google AI Overviews, affirmative 15 AI articles per month. OtterlyAI measures and audits but does not compose content, so teams that desire example and tracking in one tool should measure this option.</p><p><em>Fits finest when:</em> a squad wants to create satisfied and track AI visibility from one login.</p><h3 id="conclusion-test-with-real-buyer-questions"><strong>Conclusion: test alongside genuine buyer questions</strong></h3><p>A test is lone as helpful as the prompts it runs. Teams that already pay for an SEO suite can commencement alongside its AI add-on trial, and enterprises alongside safety reviews can measure Profound. For most another teams, OtterlyAI's test on a team's own prompts, followed by published plans from $29 per duration alongside four engines by default, makes it the recommended starting point.</p><p>The simplest test is to choice 15 questions buyers ask and run them in an OtterlyAI liberated trial, alongside no credit cardstock required. Within a week, the results display anywhere the brand appears and anywhere competitors appear instead.</p> <div id="inline-toc-container" class="inline-toc-widget bg-gray-50 border border-gray-200 rounded-lg p-6 my-8 hidden"> <p class="font-serif text-xl text-gray-800 font-bold mb-4 mt-0"> Table of Content </p> <div class="gh-toc"></div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/8-profound-alternatives-with-a-free-trial-in-2026-73928</guid> <pubDate>Sat, 24 Oct 2026 06:13:48 +0700</pubDate> <author><![CDATA[support@mycoding.id (Board Infinity)]]></author> </item> <item> <title><![CDATA[OBS Studio 33]]></title> <description><![CDATA[OBS Studio 33. Comments]]></description> <media:thumbnail url="https://opengraph.githubassets.com/82c6e9a0e4255bc7370dd6125ccb078791f7b4a2f6b9c5e4b0198d0e7df1ff10/obsproject/obs-studio/releases/tag/33.0.0"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/obs-studio-33-73929</link> <content:encoded><![CDATA[<div data-snippet-clipboard-copy-content=" 8524ff428f038573f8905a206841081d3da9ec607063906f7bbfe38d55810c1c"><pre>OBS-Studio-33.0.0-Sources.tar.gz: c1ae3c98c1bb70ebdced33e894a526fcbbbda9bfd95806970a3fc31f74b08f6c OBS-Studio-33.0.0-Ubuntu-26.04-x86_64-dbsym.ddeb: 12045838dfd0202ba26b77fb2e8572f4db27c709b3aabe425ac979ee0532a61c OBS-Studio-33.0.0-Ubuntu-26.04-x86_64.deb: f5844914eadd560314f3a9db020afa7a8afbefb67a26c488f2956dc339704918 OBS-Studio-33.0.0-Windows-arm64-PDBs.zip: e43139f467ccedb4fbb583f09ce64341a7c96b44030181ef57abd1528142b947 OBS-Studio-33.0.0-Windows-arm64.zip: 02c53d7bff3f9c159401da79fc375d7b75b00c9ca62d2b4ec5fc05a575d2fa1f OBS-Studio-33.0.0-Windows-x64-Installer.exe: 3bf55dae6d9db651505828090de74540296c742ed2a94a28cf055cb6ddc6bed3 OBS-Studio-33.0.0-Windows-x64-PDBs.zip: dbda0e1e9967262380e619e071de068809ccae2ccb3f68f52034db9a8276475d OBS-Studio-33.0.0-Windows-x64.zip: 3369a3ecd67b5669a8a08d77357f87cc786d1fba42fbbd1054d841a69f6271a7 OBS-Studio-33.0.0-macOS-Apple-dSYMs.tar.xz: 6b162ccbafc2eaaee3ced192a851eb5d3d616ad8d54125ce5cd701d26e6939bf OBS-Studio-33.0.0-macOS-Apple.dmg: b36f4e9da5f2f17c733ba711c8fe0656d6b0cd573cfe96eeb3e68325cffef739 OBS-Studio-33.0.0-macOS-Intel-dSYMs.tar.xz: 997ba41207e9fd7b045b955561cdd5c32b29f12d98ea3ea5a43de7c9edd8f1c7 OBS-Studio-33.0.0-macOS-Intel.dmg: 8524ff428f038573f8905a206841081d3da9ec607063906f7bbfe38d55810c1c </pre></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/obs-studio-33-73929</guid> <pubDate>Sat, 24 Oct 2026 05:49:58 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[Elon Musk Acquires $1B Stake in CNN's Parent Company]]></title> <description><![CDATA[Elon Musk Acquires $1B Stake in CNN's Parent Company. Comments]]></description> <media:thumbnail url="https://www.westernjournal.com/wp-content/uploads/2026/10/Elon-Musk-Skydance.jpg"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/elon-musk-acquires-1b-stake-in-cnn-s-parent-company-73926</link> <content:encoded><![CDATA[<div id="content"> <div> <div> <div> <div> <p># musk &bull; milliard &bull; invested &bull; interest &bull; cnn &bull; mega</p> <div> <div> <div> <div> <div> <a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><p><img src="https://www.westernjournal.com/favicon.ico"></p>The Western Journal</a> <div><p> Conservative </p><p>Opinion: This outlet has been categorized as on the traditional spectrum according to its general brand &amp; satisfied approach. They may prioritize liberated markets, constricted government, regulation of law, traditional values, etc. This categorization helps you difference varied news perspectives. We advance you to examine their satisfied &amp; form your own opinion.</p> </div> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd>Elon Musk Acquires $1 Billion Stake in CNN's Parent Company</a></p><p>When the left-wing minions of CNN appearance up at the mega-bucks Lords of Skydance whose prosperity keeps the troubled network&rsquo;s genitor business afloat, Elon Musk volition be looking rear down. [&hellip;]</p> <p>October 22, 2026, 8:32 pm</p> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><img src="https://www.westernjournal.com/wp-content/uploads/2026/10/Elon-Musk-Skydance.jpg"></a></p> </div> </div> <hr> <div> <div> <div> <div> <a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><p><img src="https://www.csmonitor.com/favicon.ico"></p>The Christian Science Monitor</a> <div><p> Conservative </p><p>Opinion: This outlet has been categorized as on the traditional spectrum according to its general brand &amp; satisfied approach. They may prioritize liberated markets, constricted government, regulation of law, traditional values, etc. This categorization helps you difference varied news perspectives. We advance you to examine their satisfied &amp; form your own opinion.</p> </div> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd>M is for Musk, and money: One big contributor towers complete 2026</a></p><p>Elon Musk power be the largest idiosyncratic spender rearward the midterm elections. He additionally says he&rsquo;ll provision one portion of his SpaceX business to all kid in&hellip;</p> <p>October 21, 2026, 5:00 pm</p> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><img src="https://images.csmonitor.com/csm/2026/10/1020_NMUSKMOVES_lede.jpg?alias=standard_1200x800"></a></p> </div> </div> <hr> <div> <div> <div> <div> <a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><p><img src="https://www.dailykos.com/favicon.ico"></p>Daily Kos</a> <div><p> Liberal </p><p>Opinion: This outlet has been categorized as on the broad spectrum according to its general brand &amp; satisfied approach. They may prioritize social equity, regulatory frameworks, community services, ecological concerns, etc. This categorization helps you difference varied news perspectives. We advance you to examine their satisfied and &amp; form your own opinion.</p> </div> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd>Musk&rsquo;s $1B interest in Skydance fuels bigoted quest to dominate media</a></p><p>Racist billionaire Elon Musk volition now have admission to an equal larger media phase to advance hate, disinformation, and praise of himself following he invested a&hellip;</p> <p>Yesterday, 5:00 am</p> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><img src="https://www.dailykos.com/wp-content/uploads/sites/2/images/1415035/original/AP25090060236050.jpg"></a></p> </div> </div> <hr> <div> <div> <div> <div> <a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><p><img src="https://gizmodo.com/favicon.ico"></p>Gizmodo</a> <div><p> Liberal </p><p>Opinion: This outlet has been categorized as on the broad spectrum according to its general brand &amp; satisfied approach. They may prioritize social equity, regulatory frameworks, community services, ecological concerns, etc. This categorization helps you difference varied news perspectives. We advance you to examine their satisfied and &amp; form your own opinion.</p> </div> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd>Elon Musk Just Invested $1 Billion in the Company Set to Air a Documentary About Him: Report</a></p><p>Alex Gibney says he's been promised that HBO volition air his documentary concerning Musk. That commitment is concerning to visage its biggest test.</p> <p>Yesterday, 3:35 am</p> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><img src="https://gizmodo.com/elon-musk-just-invested-1-billion-in-the-company-set-to-air-a-documentary-about-him-report-2000829580#primaryimage"></a></p> </div> </div> <hr> <div> <div> <div> <div> <a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><p><img src="https://www.businessinsider.com/favicon.ico"></p>Business Insider</a> <div><p> Liberal </p><p>Opinion: This outlet has been categorized as on the broad spectrum according to its general brand &amp; satisfied approach. They may prioritize social equity, regulatory frameworks, community services, ecological concerns, etc. This categorization helps you difference varied news perspectives. We advance you to examine their satisfied and &amp; form your own opinion.</p> </div> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd>Leaked Memo Reveals Leadership Exits After Paramount-WBD Mega Merger</a></p><p>Skydance is consolidating its tech and merchandise squad as it decides who should remain on post-merger, a new memo reveals.</p> <p>Yesterday, 8:25 pm</p> </div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd><img src="https://i.insider.com/6ada6ce0dc67b5b4d01f6961?width=1200&amp;format=jpeg"></a></p> </div> </div> </div> </div> <h3>More topic-related news</h3> </div> <div> <div> <div> <div> <div> <div> <div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" data-nd>The Western Journal</a></p><div><p> Conservative </p><p>Opinion: This outlet has been categorized as on the traditional spectrum according to its general brand &amp; satisfied approach. They may prioritize liberated markets, constricted government, regulation of law, traditional values, etc. This categorization helps you difference varied news perspectives. We advance you to examine their satisfied &amp; form your own opinion.</p> </div> </div> <p>When the left-wing minions of CNN appearance up at the mega-bucks Lords of Skydance whose prosperity keeps the troubled network&rsquo;s genitor business afloat, Elon Musk volition be looking rear down. [&hellip;]</p> </div> <p><img src="https://www.westernjournal.com/wp-content/uploads/2026/10/Elon-Musk-Skydance.jpg"></p> </div> </div> </div> </div> </div> </div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/elon-musk-acquires-1b-stake-in-cnn-s-parent-company-73926</guid> <pubDate>Sat, 24 Oct 2026 05:42:10 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[How close can pure functional programming get to C?]]></title> <description><![CDATA[How close can pure functional programming get to C?. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/how-close-can-pure-functional-programming-get-to-c-73927</link> <content:encoded><![CDATA[<div> <p><span>libdeflate<i aria-hidden="true"></i></span> <span>roc-deflate<i aria-hidden="true"></i></span> </p> <div id="chart-mac-l1-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 230.57 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">230.57 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 248.31 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">248.31 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 312.26 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">312.26 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 601.03 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">601.03 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 169.98 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">169.98 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 284.01 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">284.01 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 281.14 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">281.14 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 344.00 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">344.00 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 160.21 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">160.21 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 268.58 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">268.58 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 145.93 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">145.93 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L1 compression achieved 476.83 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L1 compression</span></p><p aria-hidden="true">476.83 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 202.92 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">202.92 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 225.79 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">225.79 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 277.57 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">277.57 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 529.49 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">529.49 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 153.99 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">153.99 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 257.14 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">257.14 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 245.80 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">245.80 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 309.79 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">309.79 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 145.28 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">145.28 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 239.18 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">239.18 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 134.66 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">134.66 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l1-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L1 compression achieved 419.07 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L1 compression</span></p><p aria-hidden="true">419.07 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 161.68 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">161.68 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 184.55 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">184.55 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 204.86 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">204.86 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 453.14 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">453.14 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 128.05 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">128.05 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 203.10 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">203.10 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 207.66 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">207.66 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 249.57 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">249.57 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 112.78 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">112.78 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 198.86 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">198.86 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 117.18 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">117.18 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L2 compression achieved 352.59 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L2 compression</span></p><p aria-hidden="true">352.59 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 143.60 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">143.60 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 168.37 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">168.37 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 182.07 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">182.07 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 409.82 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">409.82 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 118.08 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">118.08 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 185.41 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">185.41 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 183.69 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">183.69 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 228.02 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">228.02 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 105.68 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">105.68 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 181.07 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">181.07 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 107.00 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">107.00 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l2-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L2 compression achieved 323.17 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L2 compression</span></p><p aria-hidden="true">323.17 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 130.85 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">130.85 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 169.26 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">169.26 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 171.11 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">171.11 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 415.29 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">415.29 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 118.92 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">118.92 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 183.10 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">183.10 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 169.42 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">169.42 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 223.27 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">223.27 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 100.60 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">100.60 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 173.36 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">173.36 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 116.62 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">116.62 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L3 compression achieved 324.65 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L3 compression</span></p><p aria-hidden="true">324.65 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 122.04 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">122.04 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 158.29 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">158.29 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 159.07 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">159.07 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 382.21 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">382.21 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 111.14 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">111.14 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 171.27 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">171.27 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 157.19 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">157.19 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 209.86 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">209.86 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 95.51 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">95.51 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 162.75 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">162.75 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 105.93 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">105.93 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l3-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L3 compression achieved 300.31 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L3 compression</span></p><p aria-hidden="true">300.31 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 119.94 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">119.94 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 158.07 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">158.07 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 156.88 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">156.88 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 376.70 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">376.70 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 113.68 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">113.68 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 164.59 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">164.59 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 152.16 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">152.16 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 207.97 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">207.97 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 94.48 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">94.48 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 158.64 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">158.64 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 116.63 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">116.63 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L4 compression achieved 294.31 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L4 compression</span></p><p aria-hidden="true">294.31 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 113.71 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">113.71 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 148.77 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">148.77 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 149.00 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">149.00 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 356.47 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">356.47 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 107.59 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">107.59 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 156.41 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">156.41 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 142.45 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">142.45 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 197.17 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">197.17 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 89.37 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">89.37 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 151.15 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">151.15 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 106.32 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">106.32 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l4-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L4 compression achieved 278.53 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L4 compression</span></p><p aria-hidden="true">278.53 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 95.14 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">95.14 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 133.06 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">133.06 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 129.45 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">129.45 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 287.09 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">287.09 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 95.87 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">95.87 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 140.08 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">140.08 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 120.63 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">120.63 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 170.75 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">170.75 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 83.22 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">83.22 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 125.60 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">125.60 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 102.48 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">102.48 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L5 compression achieved 229.70 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L5 compression</span></p><p aria-hidden="true">229.70 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 90.27 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">90.27 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 125.87 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">125.87 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 122.34 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">122.34 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 311.35 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">311.35 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 89.73 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">89.73 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 133.37 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">133.37 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 115.52 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">115.52 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 167.01 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">167.01 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 76.99 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">76.99 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 123.12 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">123.12 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 90.40 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">90.40 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l5-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L5 compression achieved 237.29 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L5 compression</span></p><p aria-hidden="true">237.29 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 70.60 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">70.60 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 107.04 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">107.04 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 96.85 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">96.85 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 221.32 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">221.32 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 82.91 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">82.91 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 122.89 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">122.89 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 79.91 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">79.91 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 129.19 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">129.19 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 67.48 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">67.48 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 96.76 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">96.76 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 102.50 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">102.50 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L6 compression achieved 178.60 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L6 compression</span></p><p aria-hidden="true">178.60 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 72.83 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">72.83 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 107.54 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">107.54 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 98.92 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">98.92 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 246.59 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">246.59 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 81.43 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">81.43 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 122.02 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">122.02 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 84.85 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">84.85 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 134.11 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">134.11 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 66.36 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">66.36 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 101.16 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">101.16 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 90.67 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">90.67 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l6-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L6 compression achieved 194.35 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L6 compression</span></p><p aria-hidden="true">194.35 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 54.23 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">54.23 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 75.96 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">75.96 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 66.46 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">66.46 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 157.22 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">157.22 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 70.52 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">70.52 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 117.53 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">117.53 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 46.77 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">46.77 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 91.00 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">91.00 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 59.49 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">59.49 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 71.34 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">71.34 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 102.43 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">102.43 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L7 compression achieved 128.20 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L7 compression</span></p><p aria-hidden="true">128.20 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 56.93 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">56.93 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 79.18 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">79.18 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 70.19 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">70.19 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 174.91 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">174.91 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 70.27 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">70.27 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 115.95 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">115.95 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 51.20 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">51.20 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 96.46 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">96.46 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 59.40 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">59.40 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 75.99 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">75.99 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 90.26 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">90.26 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l7-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L7 compression achieved 141.60 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L7 compression</span></p><p aria-hidden="true">141.60 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 37.50 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">37.50 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 39.17 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">39.17 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 43.21 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">43.21 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 83.68 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">83.68 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 52.45 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">52.45 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 106.76 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">106.76 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 24.87 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">24.87 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 55.69 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">55.69 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 51.86 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">51.86 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 45.55 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">45.55 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 91.30 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">91.30 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L8 compression achieved 80.95 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L8 compression</span></p><p aria-hidden="true">80.95 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 39.56 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">39.56 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 43.00 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">43.00 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 45.70 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">45.70 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 91.28 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">91.28 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 52.69 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">52.69 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 101.66 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">101.66 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 27.81 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">27.81 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 60.04 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">60.04 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 51.65 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">51.65 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 48.78 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">48.78 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 81.01 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">81.01 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l8-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L8 compression achieved 86.27 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L8 compression</span></p><p aria-hidden="true">86.27 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 34.82 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">34.82 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 27.51 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">27.51 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 38.60 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">38.60 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 58.64 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">58.64 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 47.26 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">47.26 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 106.10 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">106.10 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 20.65 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">20.65 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 43.95 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">43.95 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 51.18 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">51.18 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 40.57 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">40.57 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 91.69 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">91.69 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L9 compression achieved 68.13 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L9 compression</span></p><p aria-hidden="true">68.13 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 36.73 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">36.73 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 30.48 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">30.48 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 40.95 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">40.95 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 64.32 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">64.32 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 48.05 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">48.05 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 101.46 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">101.46 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 22.85 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">22.85 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 47.64 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">47.64 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 50.68 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">50.68 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 43.36 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">43.36 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 80.68 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">80.68 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l9-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L9 compression achieved 73.29 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L9 compression</span></p><p aria-hidden="true">73.29 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 12.07 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">12.07 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 14.87 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">14.87 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 16.07 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">16.07 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 7.51 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">7.51 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 18.09 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">18.09 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 16.97 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">16.97 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 8.64 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">8.64 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 14.74 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">14.74 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 24.08 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">24.08 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 10.10 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">10.10 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 34.15 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">34.15 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L10 compression achieved 11.46 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L10 compression</span></p><p aria-hidden="true">11.46 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 12.97 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">12.97 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 14.67 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">14.67 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 15.47 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">15.47 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 7.19 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">7.19 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 18.02 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">18.02 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 17.23 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">17.23 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 9.63 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">9.63 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 14.59 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">14.59 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 22.93 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">22.93 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 11.18 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">11.18 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 32.15 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">32.15 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l10-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L10 compression achieved 10.73 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L10 compression</span></p><p aria-hidden="true">10.73 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 8.85 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">8.85 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 10.27 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">10.27 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 8.76 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">8.76 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 4.82 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">4.82 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 13.56 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">13.56 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 12.91 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">12.91 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 6.49 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">6.49 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 8.46 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">8.46 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 19.43 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">19.43 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 6.77 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">6.77 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 26.05 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">26.05 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L11 compression achieved 6.60 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L11 compression</span></p><p aria-hidden="true">6.60 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 10.10 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">10.10 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 10.53 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">10.53 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 8.19 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">8.19 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 4.74 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">4.74 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 14.03 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">14.03 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 13.62 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">13.62 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 7.71 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">7.71 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 8.68 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">8.68 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 18.87 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">18.87 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 8.07 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">8.07 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 24.93 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">24.93 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l11-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L11 compression achieved 6.51 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L11 compression</span></p><p aria-hidden="true">6.51 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 7.35 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">7.35 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 7.97 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">7.97 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 4.26 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">4.26 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 3.51 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">3.51 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 11.45 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">11.45 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 11.40 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">11.40 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 5.59 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">5.59 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 5.92 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">5.92 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 18.10 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">18.10 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 5.82 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">5.82 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 23.50 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">23.50 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-libdeflate-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, libdeflate at L12 compression achieved 4.19 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">libdeflate at L12 compression</span></p><p aria-hidden="true">4.19 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-dickens-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 8.59 MB/s compressing dickens, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">8.59 MB/s compressing dickens</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-mozilla-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 8.22 MB/s compressing mozilla, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">8.22 MB/s compressing mozilla</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-mr-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 3.83 MB/s compressing mr, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">3.83 MB/s compressing mr</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-nci-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 3.48 MB/s compressing nci, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">3.48 MB/s compressing nci</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-ooffice-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 11.99 MB/s compressing ooffice, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">11.99 MB/s compressing ooffice</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-osdb-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 12.21 MB/s compressing osdb, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">12.21 MB/s compressing osdb</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-reymont-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 6.87 MB/s compressing reymont, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">6.87 MB/s compressing reymont</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-samba-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 6.03 MB/s compressing samba, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">6.03 MB/s compressing samba</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-sao-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 17.74 MB/s compressing sao, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">17.74 MB/s compressing sao</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-webster-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 7.11 MB/s compressing webster, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">7.11 MB/s compressing webster</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-x-ray-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 22.60 MB/s compressing x-ray, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">22.60 MB/s compressing x-ray</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> <div id="chart-mac-l12-roc-xml-details" role="tooltip" aria-label="On the M1 MacBook Pro, roc-deflate at L12 compression achieved 4.18 MB/s compressing xml, the median throughout 15 runs."> <p><span aria-hidden="true">roc-deflate at L12 compression</span></p><p aria-hidden="true">4.18 MB/s compressing xml</p> <p aria-hidden="true">(median throughout 15 runs)</p> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/how-close-can-pure-functional-programming-get-to-c-73927</guid> <pubDate>Sat, 24 Oct 2026 04:43:54 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[Alzheimer's breakthrough: 2 hrs of sleep restored without clearing brain plaques]]></title> <description><![CDATA[Alzheimer's breakthrough: 2 hrs of sleep restored without clearing brain plaques. Comments]]></description> <media:thumbnail url="https://www.sciencedaily.com/images/1920/sleep-man-brain-spine-nervous-system.webp"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/alzheimer-s-breakthrough-2-hrs-of-sleep-restored-without-clearing-brain-plaques-73924</link> <content:encoded><![CDATA[<p id="first">Scientists have discovered an unexpected logic why Alzheimer's sickness disrupts sleep, and their findings propose that the issue may be reversible. In experiments involving mice alongside Alzheimer's-like brain changes, researchers restored additional than two hours of sleep per day without removing the amyloid plaques connected alongside the disease.</p><div id="text"> <p>The amazing finding points to an overlooked culprit: the brain's own immune cells. Rather than merely protecting the brain from damage, these cells can trigger inflammation that interferes alongside fit sleep.</p> <p>Researchers at the University of Kentucky established that temporarily eliminating most of these immune cells allowed the mice to sleep longer and expend additional period in the deep, restorative stages of sleep. The results propose a possible new method to treating among the most disruptive symptoms of Alzheimer's disease.</p> <p>The findings, published in the diary <em>Alzheimer's &amp; Dementia</em>, were reported by a squad led by Shannon L. Macauley, Ph.D., an affiliate prof of physiology at the University of Kentucky College of Medicine, and archetypal author Nicholas J. Constantino, Ph.D., a latest doctoral graduate.</p> <p>Macauley described the finding as "paradigm-shifting" since it challenges the prevailing understanding of why group alongside Alzheimer's frequently cognition serious sleep problems.</p> <p><strong>How the Brain's Immune System Can Disrupt Sleep</strong></p> <p>To comprehend what the researchers uncovered, ideate a small blaze breaking out in a kitchen. Instead of containing the flames, the building's sprinkler scheme activates everywhere, flooding the complete home and causing general damage.</p> <p>Something akin may happen in the brain during Alzheimer's disease.</p> <p>Amyloid plaques are deposits of sticky macromolecule fragments that accumulate between nerve cells. They are among the trait features of Alzheimer's and have lengthy been investigated for their function in the disease.</p> <p>The brain additionally contains specialized immune cells known as microglia. These cells normally defend the nervous scheme by removing debris, responding to injuries, and assisting keep a fit surroundings for neurons.</p> <p>However, whenever microglia detect amyloid plaques, their protective reply can rotate into excessive. Instead of merely addressing the threat, they publish inflammatory signals that may interfere alongside normal brain activity.</p> <p>Scientists have traditionally connected sleep problems in Alzheimer's chiefly to damaged neurons or the gathering of amyloid plaques. The new findings propose that the immune system's reply to those plaques plays a important role.</p> <p>"Basically, we showed that it is not the plaques themselves, or solely dysfunctional neurons, that logic sleep defeat but really microglia," stated Macauley. "Microglia are immune cells that, whenever they react to plaques, boot off this detailed cascade of inflammation, as if the microglia are partying all night, and keeping the brain awake."</p> <p>In another words, the brain's reply to Alzheimer's pathology may create additional problems beyond those caused by the plaques themselves. The researchers compared this general reply to a "whole home response," in which a defence scheme ends up causing additional disruption than expected.</p> <p><strong>Tracking Alzheimer's Sleep Changes Inside the Brain</strong></p> <p>To examine the association between microglia and sleep, the scientists studied two groups of mice. One collection was genetically predisposed to create amyloid plaques, during the another consisted of normal "wild-type" mice that informed representative aging.</p> <p>The researchers examined the animals at two ages: six months, whenever plaques archetypal appeared in the genetically modified mice, and 18 months, whenever the sickness example showed additional advanced pathology.</p> <p>Comparing these groups helped the scientists differentiate changes connected alongside Alzheimer's pathology from those that naturally happen as the brain ages.</p> <p>The squad used multiple advanced technologies to measure sleep and analyze what was happening inner the brain.</p> <p>Each mouse was fitted alongside a small equipment that recorded electroencephalography (EEG) and electromyography (EMG).</p> <p>EEG measures the brain's electric activity, including the patterns and rhythms produced whenever networks of neurons communicate. These electric signals alter depending on whether the brain is awake, dreaming or experiencing profound sleep.</p> <p>EMG measures electric action in muscles. Combining the two techniques allowed researchers to acknowledge distinct sleep stages and decide how lengthy the animals remained in all one.</p> <p>The scientists additionally wanted to visualize the association between amyloid plaques and immune cells throughout the brain.</p> <p>For this, they used light-sheet microscopy, an imaging method that makes biologic tissue transparent and illuminates it alongside a lean tier of laser light. The resulting images can be assembled into detailed three-dimensional maps, allowing scientists to analyze structures that would alternatively be difficult to see.</p> <p>This method revealed the allocation of plaques and microglia throughout the brain, assisting researchers comprehend anywhere immune cells were responding to Alzheimer's pathology.</p> <p><strong>Scientists Temporarily Remove 87% of Brain Immune Cells</strong></p> <p>To decide whether microglia were really liable for disrupted sleep, the squad conducted an test designed to temporarily eliminate most of these cells.</p> <p>The researchers administered a medication called Pexidartinib (PLX3397), which was initially developed for malignancy research. It blocks a cellular indication that microglia depend on for survival.</p> <p>After the mice received the medication in their food for 14 days, about 87% of their microglia had been depleted.</p> <p>This allowed the scientists to test whether sleep would enhance whenever the cells driving the inflammatory reply were mostly absent.</p> <p>The researchers additionally performed a detailed inspection of the animals' brain action using a mathematical method called Fitting Oscillations and One Over Frequency (FOOOF).</p> <p>This method separates electric signals into periodic action (the rhythmic waves we normally think of as brain waves) and aperiodic action (the backdrop electric noise).</p> <p>By examining these distinct components, the squad could acknowledge changes in how the brain was functioning, including whether it remained unusually energetic during periods whenever it should have been resting.</p> <p>The procedure is slightly akin monitoring a car motor to decide whether it continues operating at elevated speed equal whenever the conveyance is expected to be idle.</p> <p><strong>A Surprising Discovery About Alzheimer's Brain Plaques</strong></p> <p>Macauley called the results "mind-blowing and unexpected."</p> <p>One of the most amazing findings was that sleep problems did not continue worsening as amyloid plaques accumulated.</p> <p>The researchers initially expected that expanding plaque buildup would guide to increasingly additional serious sleep disturbances. Instead, the mice developed significant sleep problems comparatively early, and those problems remained mostly unchanged equal as plaque levels risen dramatically.</p> <p>"I expected that as plaque burden became additional severe, sleep disruption would additionally worsen," stated Constantino. "The disruptions in sleep and cortical EEG action that happen at 6 months, whenever plaques archetypal emerge, did not worsen by 18 months, notwithstanding additional than twice the amount of plaque burden."</p> <p>The squad described this form as a ceiling effect. Essentially, sleep disruption appeared to attain a certain flat first in the sickness procedure fairly than expanding in straightforward proportion to the amount of amyloid in the brain.</p> <p>This suggests that the first inflammatory reply triggered by plaques may be particularly important. Once microglia rotate into activated and disrupt sleep, additional plaque gathering may not necessarily create an equal addition in sleep loss.</p> <p>The finding offers an crucial clue as to why sleep disturbances can appear comparatively first in Alzheimer's disease.</p> <p><strong>Alzheimer's Disrupts a Different Type of Sleep Than Normal Aging</strong></p> <p>The study additionally revealed a notable difference between sleep changes caused by normal aging and those connected alongside Alzheimer's pathology.</p> <p>Sleep is not a single, uniform state. Throughout the night, the brain moves through multiple stages that execute distinct functions.</p> <p>Rapid eye movement (REM) sleep is powerfully connected alongside vivid dreaming and plays an crucial function in handling memories. The researchers established that normal aging chiefly reduced this category of sleep.</p> <p>Alzheimer's pathology, however, had a distinct effect. It selectively disrupted non-rapid eye movement (NREM) sleep, which includes the deepest and most physically restorative stages of sleep.</p> <p>During NREM sleep, the brain performs essential care functions that assistance learning, memory, and recovery. Deep sleep is additionally connected alongside processes that assistance apparent metabolic discarded products from the brain.</p> <p>"That restorative sleep is excellent crucial for bodily repair, learning and recollection and washing out the toxins of the day," Macauley said.</p> <p>Losing this crucial phase of sleep could have consequences beyond daytime fatigue.</p> <p>Because fit sleep helps keep the brain's inner environment, disruptions may interfere alongside processes that normally eliminate possibly harmful waste. Researchers doubtful this could contribute to a self-reinforcing sequence in which Alzheimer's pathology disturbs sleep, and inadequate sleep may additional aggravate the disease.</p> <p>Breaking that sequence could hence rotate into an crucial care strategy.</p> <p><strong>More Than Two Hours of Sleep Restored Without Removing Plaques</strong></p> <p>The most striking outcome emerged following the researchers temporarily removed most of the microglia from the brains of mice alongside Alzheimer's-like pathology.</p> <p>The animals gained additional than two hours of sleep per day.</p> <p>They additionally informed longer periods of restorative NREM sleep, giving them additional opportunities to passage naturally into REM sleep, which is crucial for recollection formation.</p> <p>Even additional surprisingly, these improvements occurred without any decrease in amyloid plaque levels.</p> <p>The plaques were motionless present, but the mice were sleeping substantially better.</p> <p>This finding provides evidence that the inflammatory reply driven by microglia contributes immediately to sleep disruption and that suppressing this reply can reverse at smallest several of the connected sleep problems.</p> <p>It additionally suggests that researchers may not need to eliminate amyloid plaques to enhance sleep in Alzheimer's disease.</p> <p>Although these findings are promising, the experiments were conducted in mice, and the identical benefits have not yet been demonstrated in people. Temporarily removing most of the brain's immune cells is additionally not an established or applicable care for Alzheimer's patients.</p> <p>The researchers are now curious in whether the beneficial effects can be reproduced by adjusting microglial action fairly than eliminating the cells themselves.</p> <p>If specified an method eventually proves prosperous in humans, it could provision a way to enhance sleep and possibly decrease several of the additional emphasis that mediocre sleep places on the brain.</p> <p><strong>The Research Team Behind the Discovery</strong></p> <p>The activity was conducted in Macauley's lab in the Department of Physiology at the University of Kentucky's Sanders-Brown Center on Aging.</p> <p>Macauley credits the accomplishment to a "beautiful partnership" alongside students and researchers who were consenting to difficulty established ideas concerning Alzheimer's disease.</p> <p>"I affection group who obtain initiative, discover their passion, are curious, and keep pushing to discover an answer," Macauley said.</p> <p>She encourages members of her lab to be "calculated risk-takers," emphasizing that meaningful discoveries frequently necessitate scientists to examine possibilities that may initially appear unlikely.</p> <p>A citation from hockey fable Wayne Gretzky hangs in her office: "You young female 100% of the shots you don't take."</p> <p>Constantino, who lately completed his doctorate at the university, stated the laboratory's collaborative surroundings encouraged him to prosecute questions that traversed traditional specialized disciplines.</p> <p>"Dr. Macauley has additionally taught me to clasp doubt and nonaccomplishment as part of the specialized process," Constantino said. "Some of the most engaging studies I have been a part of emerged since our first assumption was wrong."</p> <p>Macauley reinforces this mindset alongside a uncomplicated education to her team: "Follow the data, ask improved questions, and fig out what is really happening."</p> <p>That method helped the researchers move beyond the traditional accent on neurons and amyloid plaques to analyze the broader function of the brain's immune system.</p> <p><strong>Could Existing Medications Help Restore Sleep in Alzheimer's?</strong></p> <p>The investigation squad is now exploring ways to translate these findings into treatments and diagnostic tools that could eventually advantage group alongside Alzheimer's disease.</p> <p>One promising direction involves calming overactive microglia without removing them.</p> <p>Because microglia execute essential protective functions, eliminating them is not an ideal long-term strategy. Instead, the researchers anticipation to modify how these immune cells react to amyloid plaques and control inflammation.</p> <p>The lab is examining existing medications, including the diabetes medication Metformin and the anti-seizure medication Stiripentol.</p> <p>These narcotics are being studied for their possible to alter how microglia create and use energy, a procedure known as cellular metabolism. Changing that energy use could possibly decrease excessive immune activation and its harmful effects on sleep.</p> <p>The anticipation is to forestall the brain's inflammatory reply from becoming so serious that it disrupts normal sleep activity.</p> <p>Researchers are particularly curious in whether involvement during the before stages of Alzheimer's could enhance sleep and norm of existence before significant recollection defeat develops.</p> <p>"If we can mark that process, it power assistance alongside norm of life, attention, awareness and confusion," Macauley said.</p> <p>The projected medication strategies remain experimental for this purpose, and additional investigation volition be necessary to decide whether they can safely create akin benefits in humans.</p> <p><strong>A Simpler Way to Detect Early Alzheimer's Changes</strong></p> <p>Beyond identifying a possible care target, the study uncovered electric action patterns that may assistance differentiate Alzheimer's pathology from normal brain aging.</p> <p>The researchers accept these patterns could eventually create EEG a helpful tool for detecting and monitoring changes connected alongside Alzheimer's disease.</p> <p>Unlike additional costly imaging procedures, EEG records electric signals through electrodes placed on the scalp. It is comparatively affordable, does not necessitate surgery, and can be repeated to prosecute changes complete time.</p> <p>The squad envisions EEG becoming a "readily accessible, affordable and longitudinal biomarker of Alzheimer's disease."</p> <p>A biomarker is a measurable biologic sign that provides data concerning a person's health or a particular disease. A longitudinal biomarker can be tracked often to detect how a circumstance develops or changes.</p> <p>"Portable EEG systems could authorize us to detect group in their residence environments and possibly display for changes connected alongside an Alzheimer's disease, without the first need for costly or invasive tests," Macauley said.</p> <p>If forthcoming individual studies verify the usefulness of these electric signatures, portable EEG devices power eventually assistance doctors acknowledge group who need additional testing.</p> <p>This could be particularly precious in agrarian communities throughout Kentucky, anywhere patients sometimes must journey lengthy distances to attain specialized medicinal centers.</p> <p>Instead of requiring all possibly at-risk tolerant to undergo advanced evaluation immediately, local clinics power use simpler monitoring tools to acknowledge individuals who would advantage from additional evaluation.</p> <p>Although this use motionless requires validation, it offers a imaginable way toward additional accessible Alzheimer's screening and monitoring.</p> <p>Ultimately, the study suggests that treating Alzheimer's may necessitate looking beyond the plaques themselves and examining how the brain responds to them.</p> <p>By identifying the immune cells liable for much of the sleep disruption in their mouse models, the University of Kentucky researchers have uncovered a possible way to reconstruct an essential brain function without archetypal removing the underlying amyloid deposits.</p> <p>The next difficulty is determining whether calming these cells can provision akin benefits in people, possibly improving sleep, awareness and norm of existence lengthy before the most serious symptoms of Alzheimer's develop.</p> <p><em>Research reported in this publish was supported by the National Institute on Aging of the National Institutes of Health under Award Numbers R01AG068330, R01AG093847 and P30AG072946, and by the National Institute of General Medical Sciences of the National Institutes of Health under Award Numbers P30GM127211 and P20GM148326. The satisfied is solely the duty of the authors and does not necessarily portray the authoritative views of the National Institutes of Health.</em></p> <p><em>This activity was supported by a $287,236 award from the Cure Alzheimer's Fund.</em></p> <p><em>This activity was supported by a $250,000 award from The CART Fund (Coins for Alzheimer's Research Trust).</em></p></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/alzheimer-s-breakthrough-2-hrs-of-sleep-restored-without-clearing-brain-plaques-73924</guid> <pubDate>Sat, 24 Oct 2026 02:53:10 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[Mark Zuckerberg Pushed Meta to Shield Him from California's Proposed Wealth Tax]]></title> <description><![CDATA[Mark Zuckerberg Pushed Meta to Shield Him from California's Proposed Wealth Tax. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/mark-zuckerberg-pushed-meta-to-shield-him-from-california-s-proposed-wealth-tax-73923</link> <content:encoded><![CDATA[<div><p id="cmsg">Please allow JS and disable any ad blocker</p></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/mark-zuckerberg-pushed-meta-to-shield-him-from-california-s-proposed-wealth-tax-73923</guid> <pubDate>Sat, 24 Oct 2026 02:35:49 +0700</pubDate> <author><![CDATA[support@mycoding.id (Mira Azkia)]]></author> </item> <item> <title><![CDATA[Evolving Threat: http2shell is an RCE in node, Python, and more]]></title> <description><![CDATA[Evolving Threat: http2shell is an RCE in node, Python, and more. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/evolving-threat-http2shell-is-an-rce-in-node-python-and-more-73917</link> <content:encoded><![CDATA[<div><a href="https://en.mycoding.id/category/technology" target="_blank">To defend Nitter from evil bots, click current to continue.</a></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/evolving-threat-http2shell-is-an-rce-in-node-python-and-more-73917</guid> <pubDate>Sat, 24 Oct 2026 00:30:17 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[NVIDIA vs. AMD vs. Apple — Here’s What the Numbers Actually Say About Which AI Machine Is Right For You]]></title> <description><![CDATA[NVIDIA vs. AMD vs. Apple — Here’s What the Numbers Actually Say About Which AI Machine Is Right For You. Before you buy a local AI machine, cognize what you're really optimizing for. Here's a breakdown of NVIDIA, AMD and Apple.]]></description> <media:thumbnail url="https://www.entrepreneur.com/wp-content/uploads/sites/2/2026/10/which-ai-machine-is-right-for-you-1026_g2222147709.jpg"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/nvidia-vs-amd-vs-apple-here-s-what-the-numbers-actually-say-about-which-ai-machine-is-right-for-you-73918</link> <content:encoded><![CDATA[<p> Opinions expressed by Entrepreneur contributors are their own. </p><div> <div> <h2>Key Takeaways</h2> <ul> <li>The safest application bet isn&rsquo;t continually the fastest box. NVIDIA wins on compatibility; Apple quietly wins on raw conclusion speed.</li> <li>AMD&rsquo;s pricing lone makes awareness formerly you comprehend you&rsquo;re purchasing two distinct products under one name, not one merchandise at two prices.</li> <li>The correct device depends entirely on what you&rsquo;re construction with, not fair what fits your budget. Match the ecosystem to your workflow before you equivalent it to a benchmark.</li> </ul> </div> <p>A local AI box isn&rsquo;t there to substitute the haze for large-scale training. It exists for three particular things: keeping delicate data off person else&rsquo;s servers, avoiding metered API expenses whenever you&rsquo;re iterating hundreds of times a day and getting a fixed, predictable device you completely authority alternatively of a shared, rate-limited one. <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">Cloud GPUs</a> motionless win for ample training runs and burst capacity. A local box wins for prototyping, fine-tuning smaller models and operating conclusion on data you&rsquo;re not allowed to dispatch anyplace else. That&rsquo;s the tradeoff, and it decides which of these three ecosystems really fits your work.</p> <p><a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">NVIDIA</a>, AMD and Apple are all shipping new local AI hardware on a near-constant sequence correct now. Let&rsquo;s appearance at which device really makes awareness for you.</p> <h2 id="h-nvidia-the-safe-expensive-default">NVIDIA: the safe, costly default</h2> <p>The <a href="https://en.mycoding.id/category/technology" target="_blank">NVIDIA DGX Spark</a> pairs 128GB of unified recollection alongside a Grace Blackwell GB10 part built about <a href="https://en.mycoding.id/category/technology" target="_blank">CUDA</a>, which is motionless the deepest, most battle tested application ecosystem in AI. Existing PyTorch code, TensorRT and cuDNN pipelines run on it without modification, which is not item you can say concerning the another two options yet.</p> <p>The advantage is that nothing needs to be rewritten or reverse engineered. If your squad already builds on CUDA, this is the lowest conflict way to bring that activity local. The disadvantage is recollection bandwidth: at 273 GB/s, it&rsquo;s the slowest of the three whenever a example has to move a lot of data, and reviewers consistently discover it underperforms Apple&rsquo;s Mac Studio on raw token generation notwithstanding the mature software.</p> <p>This fits teams already profound in the CUDA and TensorRT stack who desire to prototype locally before deploying to NVIDIA haze infrastructure without touching their code. For models, think quantized versions of Llama, Qwen and DeepSeek in the 70B to 200B range, anywhere TensorRT-LLM optimization matters additional than raw bandwidth.</p> <h2 id="h-amd-one-chip-two-very-different-products">AMD: one chip, two extremely distinct products</h2> <p>This is anywhere things get confusing on purpose. AMD&rsquo;s Ryzen AI Max+ 395 chip, marketed as <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">&ldquo;the world&rsquo;s smallest AI betterment PC&rdquo;</a> capable of operating 200-billion-parameter models locally, ships in two entirely distinct products. Third-party mini PCs built about the identical chip, akin the <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">GMKtec EVO-X2</a> and the Framework Desktop, market for a fraction of AMD&rsquo;s own authoritative <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">Ryzen AI Halo Developer Platform</a>. Same processor, identical 128GB of recollection and additional than twice the cost on the authoritative kit.</p> <p><a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">LTT Labs</a>, among the additional rigorous autonomous evaluation outfits, explains the gap plainly: the premium buys AMD&rsquo;s curated application configurations, &ldquo;AI Playbooks,&rdquo; and archetypal gathering support, not additional hardware. The advantage of the third gathering path is price. You get the identical part and recollection pond for far small if you&rsquo;re comfortable managing the application yourself. The advantage of AMD&rsquo;s own kit is exactly that assistance layer, affirmative the commitment of continued controller and playbook maintenance. The drawback, either way, is raw speed: LTT Labs established &ldquo;the Apple Silicon Mac Studios outperform the AMD Ryzen AI Max+ 395 machines,&rdquo; generating tokens two to three times slower in their testing.</p> <p>There&rsquo;s a application capture too, particular to the functioning system. <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">ROCm</a>, AMD&rsquo;s answer to CUDA, is motionless meaningfully additional mature on Linux than on Windows. Windows assistance runs through WSL and a newer compatibility tier that lone lately expanded to additional Ryzen hardware, during Linux has had direct, improved supported admission for longer. This fits prosperity conscious developers who desire a ample recollection pond for training and fine tuning experiments on Linux, and don&rsquo;t need NVIDIA particular tooling. On the models side, AMD has really leaned into this: <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">Ryzen AI Max+ 395</a> was the archetypal person processor to run OpenAI&rsquo;s gpt-oss 120B, which needs about 61GB of recollection at MXFP4 precision and runs at up to 30 tokens per second on the 128GB configuration.</p> <h2 id="h-apple-the-quiet-winner-on-bandwidth">Apple: the quiescent victor on bandwidth</h2> <p>Apple&rsquo;s <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">Mac Studio</a> comes alongside the M5 Max part and up to 128GB of unified memory, or the M5 Ultra alongside up to 512GB. The genuine differentiator is recollection bandwidth, and it&rsquo;s value being exact current since the two chips aren&rsquo;t equal: The M5 Max reaches up to 614 GB/s, during the M5 Ultra doubles that to 1.2 TB/s. Even the lesser tier strikes NVIDIA and AMD&rsquo;s local options at moving example data, which is why reviewers keep clocking the Mac Studio onward of the two rivals on local conclusion notwithstanding Apple never promotion these chips as AI accelerators first.</p> <p>The advantage is that bandwidth, affirmative a recollection ceiling (512GB on the Ultra) that lets you burden models neither of the another two machines can clasp without dense quantization. The disadvantage is the ecosystem: Your code needs to run through Apple&rsquo;s stack fairly than CUDA or ROCm, which is a genuine disbursal if your team&rsquo;s tooling already assumes one of those. That said, this doesn&rsquo;t average penning everything in MLX. Most group operating models on a Mac fair burden GGUF records immediately through llama.cpp&rsquo;s Metal backend, Ollama or LM Studio, all of which activity out of the box. MLX lone matters if you&rsquo;re optimizing specifically for <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">Apple Silicon</a>.</p> <p>This fits developers who attention additional concerning conclusion speed and example size than ecosystem compatibility. For models, 512GB is adequate to run a 70B example alongside zero quantization, which is a genuine advantage complete the another two machines. It is not, however, adequate for the largest open models.</p> <h2>The base line</h2> <p>None of these is a worldwide answer. If your code already runs on CUDA, NVIDIA removes the most risk. If you desire the most recollection for your prosperity and you&rsquo;re comfortable on Linux, AMD&rsquo;s ecosystem, authoritative kit or third gathering board, gets you there cheaper. If you desire the fastest genuine conclusion and don&rsquo;t intellect strolling exterior CUDA and ROCm entirely, Apple quietly wins the benchmarks. Pick the ecosystem your workflow already depends on first. The hardware difference lone matters following that.</p> </div><div> <div> <h2>Key Takeaways</h2> <ul> <li>The safest application bet isn&rsquo;t continually the fastest box. NVIDIA wins on compatibility; Apple quietly wins on raw conclusion speed.</li> <li>AMD&rsquo;s pricing lone makes awareness formerly you comprehend you&rsquo;re purchasing two distinct products under one name, not one merchandise at two prices.</li> <li>The correct device depends entirely on what you&rsquo;re construction with, not fair what fits your budget. Match the ecosystem to your workflow before you equivalent it to a benchmark.</li> </ul> </div> <p>A local AI box isn&rsquo;t there to substitute the haze for large-scale training. It exists for three particular things: keeping delicate data off person else&rsquo;s servers, avoiding metered API expenses whenever you&rsquo;re iterating hundreds of times a day and getting a fixed, predictable device you completely authority alternatively of a shared, rate-limited one. <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">Cloud GPUs</a> motionless win for ample training runs and burst capacity. A local box wins for prototyping, fine-tuning smaller models and operating conclusion on data you&rsquo;re not allowed to dispatch anyplace else. That&rsquo;s the tradeoff, and it decides which of these three ecosystems really fits your work.</p> <p><a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">NVIDIA</a>, AMD and Apple are all shipping new local AI hardware on a near-constant sequence correct now. Let&rsquo;s appearance at which device really makes awareness for you.</p> <h2 id="h-nvidia-the-safe-expensive-default">NVIDIA: the safe, costly default</h2> <p>The <a href="https://en.mycoding.id/category/technology" target="_blank">NVIDIA DGX Spark</a> pairs 128GB of unified recollection alongside a Grace Blackwell GB10 part built about <a href="https://en.mycoding.id/category/technology" target="_blank">CUDA</a>, which is motionless the deepest, most battle tested application ecosystem in AI. Existing PyTorch code, TensorRT and cuDNN pipelines run on it without modification, which is not item you can say concerning the another two options yet.</p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/nvidia-vs-amd-vs-apple-here-s-what-the-numbers-actually-say-about-which-ai-machine-is-right-for-you-73918</guid> <pubDate>Sat, 24 Oct 2026 00:30:00 +0700</pubDate> <author><![CDATA[support@mycoding.id (Karthigan Vijey)]]></author> </item> <item> <title><![CDATA[Leaked memo reveals Skydance's new advertising leadership after the Paramount-WBD merger]]></title> <description><![CDATA[Leaked memo reveals Skydance's new advertising leadership after the Paramount-WBD merger. Skydance revealed new guidance in its ad endeavor weeks following the Paramount-Warner Bros. Discovery merger closed, a leaked memo showed.]]></description> <media:thumbnail url="https://i.insider.com/6adbde4f8e95884e1ca82dd5?width=1200&amp;format=jpeg"/> <category><![CDATA[Business]]></category> <link>https://en.mycoding.id/leaked-memo-reveals-skydance-s-new-advertising-leadership-after-the-paramount-wbd-merger-73914</link> <content:encoded><![CDATA[<div e-name="post-hero" data-component-type="post-hero" data-load-strategy="exclude"> <figure data-type="img" e-name="image-figure-image" data-media-container="image" itemscope itemtype="https://schema.org/ImageObject"> <div> <p><img src="https://i.insider.com/6acd261f42403ad8039a5af0?width=2000&amp;format=jpeg&amp;auto=webp" srcset="https://i.insider.com/6acd261f42403ad8039a5af0?width=400&amp;format=jpeg&amp;auto=webp 400w, https://i.insider.com/6acd261f42403ad8039a5af0?width=500&amp;format=jpeg&amp;auto=webp 500w, https://i.insider.com/6acd261f42403ad8039a5af0?width=700&amp;format=jpeg&amp;auto=webp 700w, https://i.insider.com/6acd261f42403ad8039a5af0?width=1000&amp;format=jpeg&amp;auto=webp 1000w, https://i.insider.com/6acd261f42403ad8039a5af0?width=1300&amp;format=jpeg&amp;auto=webp 1300w, https://i.insider.com/6acd261f42403ad8039a5af0?width=2000&amp;format=jpeg&amp;auto=webp 2000w" sizes=" 1280px) 900px" alt="Skydance" decoding="sync"> </p></div> <span> <span> <svg aria-hidden="true" focusable="false" xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" viewbox="0 0 24 24"> <path fill="currentColor" fill-rule="evenodd" d="m4.56 18.5 7.486-7.72 7.394 7.626 2.56-2.64L12.046 5.5 2 15.86l2.56 2.64Z"></path> </svg> <figcaption e-name="image-caption"> <span>Skydance announced new guidance in its ad endeavor in a memo to staff.</span> <span> <span e-name="image-source" itemprop="creditText">Adam Gray/Getty Images</span> </span> </figcaption> </span> </span> </figure> </div> <div data-component-type="image-modal" data-load-strategy="lazy"> <p>Skydance has announced new guidance for its blended promotion endeavor following the <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Paramount-Warner Bros. Discovery merger</a>, according to a memo viewed by Business Insider.</p><p>Jay Askinasi, Skydance's chief income authoritative for advertising, outlined the new guidance construction for the "unified Skydance Advertising organization." Following the completion of the $110 milliard merger this month, <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Skydance's portfolio</a> includes Paramount and Paramount+, Warner Bros., HBO and HBO Max, CBS, CNN, and more.</p><p>Askinasi stated going onward that the guidance squad would include:</p><ul><li><strong>Danielle Carney</strong>, caput of US sales</li><li><strong>Jill Steinhauser</strong>, caput of ad partnerships</li><li><strong>Christine Hong</strong>, caput of income operations</li><li><strong>Chris Brady</strong>, caput of Skydance Media Labs</li><li><strong>Ed Romaine</strong>, caput of ad marketing</li><li><strong>Evan Giamanco</strong>, caput of merchandise scheme and measurement</li></ul><p>Askinasi stated <strong>Steve Ellis</strong> would continue as chief functioning authoritative for advertising, a stance he has held at Paramount since 2022, and integration lead. He additionally stated <strong>Lee Sears</strong> would continue to guide Paramount's global promotion endeavor as part of its guidance squad during execs "evaluate the WBD global endeavor and decide the correct construction for the new Skydance group."</p><p>Askinasi additionally thanked Ryan Gould, chairman of ad revenue and go-to-market at Warner Bros. Discovery, and Bobby Voltaggio, chairman of ad revenue and phase monetization at Warner Bros. Discovery, and stated they would "continue to partner" alongside him "throughout the fourth quarter."</p><p>"This squad reflects how we average to work: alongside apparent ownership, small layers, and leaders who are near to the work," Askinasi told staffers in the memo. "We volition arrange about how clients scheme and buy, elevate our strongest IP and imaginative capabilities, and use shared data and intellect to create faster, improved decisions."</p><p>A delegate for Skydance did not react to a petition for comment.</p><p>Several another guidance moves have been announced since the merger's completion. Another leaked memo on Thursday revealed changes to <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Skydance's merchandise and tech team</a>, which included the departure of four Warner Bros. Discovery executives.</p> </div> <h2>Read next</h2> <div data-recommendations-content data-track-click-shared='&quot;Read next&quot;}'> <div e-name="read-next-list" data-recommendations-list> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> </div> </div> <a e-name="read-next-image-link" data-recommendations-image-link data-recommendations-link tabindex="-1"> <p><img alt=""> </p> </a> <h3> <a e-name="read-next-title-link" data-recommendations-link data-recommendations-title></a> </h3> <div data-component-type="post-bottom-authors" data-load-strategy="exclude" data-track-view='&quot;module_in_view&quot;}' data-track-click-shared='&quot;navigation&quot;}'> <div data-track-view='&quot;module_in_view&quot;}'> <div> <p><span>Kelsey Vlamis is a elder newsman for Business Insider, anywhere she covers endeavor and tech news. She additionally writes endeavor stories concerning travel, luxury, and culture. Previously, she covered the environment, outdoors, and indigenous issues.</span><span>Her characteristic narrative <a href="https://en.mycoding.id/category/business" target="_blank">"Disaster at 18,200 feet"</a> received awards from the <a href="https://en.mycoding.id/category/business" target="_blank">New York Press Club</a>&nbsp;and the&nbsp;<a href="https://en.mycoding.id/category/business" target="_blank">North American Travel Journalists Association</a>, as fine as honest citation from the&nbsp;<a href="https://en.mycoding.id/category/business" target="_blank">Society of American Travel Writers</a>. She has additionally received an <a href="https://en.mycoding.id/category/business" target="_blank">American Journalism Online Award</a> for her safety on missing and murdered Indigenous group in Wyoming.</span><span>She's appeared on CBS, NPR, NBC, and another outlets to conversation her reporting. She earlier worked on the earth news array at the BBC in London and received a master's in reporting from Northwestern University.</span><span>She can be reached by email at kvlamis@businessinsider.com or via the encrypted-messaging app Signal at kelseyv.21.</span> </p> </div> </div> <div> <div> <p><span>James Faris is a media equal in New York City.</span><span>He covers the endeavor of media &amp; entertainment, specifically the streaming, TV,&nbsp;and AI strategies of Hollywood giants akin Disney, Skydance (Paramount-WBD), and Netflix.&nbsp;He earlier wrote concerning the inventory market, the economy,&nbsp;and genuine estate.</span><span>James joined Business Insider following graduating magna cum laude from James Madison University.</span><span>Email James at jfaris@businessinsider.com and prosecute him on <a href="https://en.mycoding.id/category/business" target="_blank">LinkedIn</a>.</span> </p> </div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/leaked-memo-reveals-skydance-s-new-advertising-leadership-after-the-paramount-wbd-merger-73914</guid> <pubDate>Sat, 24 Oct 2026 00:02:11 +0700</pubDate> <author><![CDATA[support@mycoding.id (Kelsey Vlamis,James Faris)]]></author> </item> <item> <title><![CDATA[YITH WooCommerce Wishlist Premium v4.19.1]]></title> <description><![CDATA[YITH WooCommerce Wishlist Premium v4.19.1. YITH WooCommerce Wishlist Premium v4.19.1 Plugin Free Download. Let your Customers Save Products to Wishlists to Share alongside Family and Friends, and Create targe...]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Digital Products]]></category> <link>https://en.mycoding.id/yith-woocommerce-wishlist-premium-v4-19-1-73916</link> <content:encoded><![CDATA[<div class="entry-content admission clearfix"><div class="stream-item stream-item-above-post-content"><div class="stream-item-size"> </div></div><p class="wp-block-paragraph">YITH WooCommerce Wishlist Premium v4.19.1 Plugin Free Download. Let your Customers Save Products to Wishlists to Share alongside Family and Friends, and Create targeted Email Campaigns that advance them to Buy.</p><h3 class="wp-block-heading">Main Features</h3><ul class="wp-block-list"><li>Allow Customers to Save Products</li><li>Share Wishlists</li><li>Create Targeted Email Campaigns</li><li>Multiple Wishlists</li><li>Customize the <strong>Add to Wishlist</strong> Button</li><li>Share Wishlists</li><li>Choose an Attractive Wishlist Design</li><li>Manage Wishlist</li><li>Automate Sending Promotional Emails</li><li>and more</li></ul><h2 class="wp-block-heading">Download YITH WooCommerce Wishlist Plugin</h2><b>Live Demo:</b> <a href="https://en.mycoding.id/category/digital-products" target="_blank" target="_blank"><b>View Demo</b></a><br><br><a href="https://en.mycoding.id/category/digital-products" target="_blank" target="_blank"><b>YITH Wishlist Online Documentation</b></a><br><br><div class="download-link-section"><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div> <br><div class="copybox"></div></div><br><p class="wp-block-paragraph">Free download YITH WooCommerce Wishlist Pro WordPress plugin by YITH premium WooCommerce plugin download.</p><div class="stream-item stream-item-in-post stream-item-inline-post aligncenter"><div class="stream-item-size"><div id="container-0730062b1c60873c0fcc80d9fa01093b"></div></div></div><div class="stream-item stream-item-below-post-content"><div class="stream-item-size"><div id="container-0730062b1c60873c0fcc80d9fa01093b"></div></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/yith-woocommerce-wishlist-premium-v4-19-1-73916</guid> <pubDate>Sat, 24 Oct 2026 00:00:00 +0700</pubDate> <author><![CDATA[support@mycoding.id (Null Php Script)]]></author> </item> <item> <title><![CDATA[Mark Cuban says the best defense against malicious AI agents is more AI]]></title> <description><![CDATA[Mark Cuban says the best defense against malicious AI agents is more AI. Mark Cuban compared AI agents to cockroaches that utilize weaknesses at scale, but stated defenders can combat rear using fair as much AI.]]></description> <media:thumbnail url="https://i.insider.com/6adbb9408e95884e1ca82ca7?width=1200&amp;format=jpeg"/> <category><![CDATA[Business]]></category> <link>https://en.mycoding.id/mark-cuban-says-the-best-defense-against-malicious-ai-agents-is-more-ai-73911</link> <content:encoded><![CDATA[<div e-name="post-hero" data-component-type="post-hero" data-load-strategy="exclude"> <figure data-type="img" e-name="image-figure-image" data-media-container="image" itemscope itemtype="https://schema.org/ImageObject"> <div> <p><img src="https://i.insider.com/6a9fd1e661854fb4851a4a19?width=2000&amp;format=jpeg&amp;auto=webp" srcset="https://i.insider.com/6a9fd1e661854fb4851a4a19?width=400&amp;format=jpeg&amp;auto=webp 400w, https://i.insider.com/6a9fd1e661854fb4851a4a19?width=500&amp;format=jpeg&amp;auto=webp 500w, https://i.insider.com/6a9fd1e661854fb4851a4a19?width=700&amp;format=jpeg&amp;auto=webp 700w, https://i.insider.com/6a9fd1e661854fb4851a4a19?width=1000&amp;format=jpeg&amp;auto=webp 1000w, https://i.insider.com/6a9fd1e661854fb4851a4a19?width=1300&amp;format=jpeg&amp;auto=webp 1300w, https://i.insider.com/6a9fd1e661854fb4851a4a19?width=2000&amp;format=jpeg&amp;auto=webp 2000w" sizes=" 1280px) 900px" alt="Mark Cuban speaks into a handheld microphone during a phase conversation against a dreary backdrop." decoding="sync"> </p></div> <span> <span> <svg aria-hidden="true" focusable="false" xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" viewbox="0 0 24 24"> <path fill="currentColor" fill-rule="evenodd" d="m4.56 18.5 7.486-7.72 7.394 7.626 2.56-2.64L12.046 5.5 2 15.86l2.56 2.64Z"></path> </svg> <figcaption e-name="image-caption"> <span>Mark Cuban compared AI cybersecurity risks to a cockroach infestation</span> <span> <span e-name="image-source" itemprop="creditText">Shafkat Anowar/The Dallas Morning News via Getty Images</span> </span> </figcaption> </span> </span> </figure> </div> <div data-component-type="image-modal" data-load-strategy="lazy"> <p><a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Mark Cuban</a> has pest-control tips for the AI age.</p><p>Speaking at a Reuters NEXT Newsmaker event on Friday, the entrepreneur and billionaire investor<strong> </strong>compared the danger posed by swarms of AI agents to cockroaches finding their way into a freshly treated house.</p><p>"When I go conversation to cybersecurity experts, I ask them all the time. I'm like, whenever we comprehend concerning these hacks and breakthroughs and, you know, distinct problems, do these AIs invent item new?" Cuban said.</p><p>"No, they didn't invent item new," Cuban added. "But they're capable to do item in bulk quantity that it's all brute power hacks."</p><p>Cuban compared the difficulty to keeping cockroaches out of a house.</p><p>"It's akin the cockroach theory, anywhere if person can create adequate agents, it'll discover a way to get in, and afterward it fair exploits that. But the fine news is you can spray your systems alongside fair as much AI, and I think there's gonna be additional attempt from the fine guys trying to halt the bad guys," Cuban said. "I'm not a doomer at all."</p><p>The AI industry is already creating its own squad of exterminators to merge risks.</p><p>OpenAI <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">safety roles</a> on LinkedIn jumped by 91% complete the former year, spanning activity specified as scheme testing, specialized research, and governance.</p><p>The risks have additionally surfaced during testing. Anthropic stated that three <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Claude models</a> accessed organizations&rsquo; live systems without approval following a third-party evaluation surroundings was misconfigured. The business subsequently introduced real-time classifiers to detect and obstacle attempts to escape evaluation environments.</p> <p>Cuban stated AI could create malicious action additional accessible, but the identical techniques could additionally fortify defenses.</p><p>"There volition be scenarios anywhere bad material happens, but we've continually had hacks," stated Cuban. "And if it's brute power on that flank alongside the bad guys, you can additionally use brute power alongside the fine guys."</p> </div> <h2>Read next</h2> <div data-recommendations-content data-track-click-shared='&quot;Read next&quot;}'> <div e-name="read-next-list" data-recommendations-list> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> <span> <p><img src="image/svg+xml,%3Csvg%20xmlns=&#039;http://www.w3.org/2000/svg&#039;%20viewBox=&#039;0%200%201%201&#039;%3E%3C/svg%3E" data-src="/public/assets/logos/placeholder.png" alt=""> </p> </span> <h3> <span>Business Insider tells the innovative stories you desire to know</span> </h3> </div> </div> <a e-name="read-next-image-link" data-recommendations-image-link data-recommendations-link tabindex="-1"> <p><img alt=""> </p> </a> <h3> <a e-name="read-next-title-link" data-recommendations-link data-recommendations-title></a> </h3> <div data-component-type="post-bottom-authors" data-load-strategy="exclude" data-track-view='&quot;module_in_view&quot;}' data-track-click-shared='&quot;navigation&quot;}'> <div data-track-view='&quot;module_in_view&quot;}'> <div> <p><span>Katherine Li is a newsman on Business Insider's West Coast endeavor news team. She covers career,&nbsp; the forthcoming of work, and how AI is changing hiring practices and office trends.</span><span>Previously, she was a newsroom chap who wrote global breaking news and produced newsletters for Semafor. Before that, she wrote concerning climate policies for The Lever, covered the AAPI community for the SF Chronicle as a freelancer, and wrote concerning the 2019 Hong Kong protests as an intern for The New York Times.</span><span>She is an alumna of the Graduate School of Journalism at UC Berkeley and a alumnus of the global reporting program at Hong Kong Baptist University alongside minors in French and English literature.&nbsp;&nbsp;</span><span>Email Katherine at <a href="https://en.mycoding.id/category/business" target="_blank">katherineli@insider.com</a> and prosecute her on Bluesky <a href="https://en.mycoding.id/category/business" target="_blank">@</a><a href="https://en.mycoding.id/category/business" target="_blank">katherineli.bsky.social</a>.&nbsp;</span> </p> </div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/mark-cuban-says-the-best-defense-against-malicious-ai-agents-is-more-ai-73911</guid> <pubDate>Fri, 23 Oct 2026 23:38:08 +0700</pubDate> <author><![CDATA[support@mycoding.id (Katherine Li)]]></author> </item> <item> <title><![CDATA[German court calls Google aerial imagery 'spying']]></title> <description><![CDATA[German court calls Google aerial imagery 'spying'. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/german-court-calls-google-aerial-imagery-spying-73915</link> <content:encoded><![CDATA[<a href="https://en.mycoding.id/category/technology" target="_blank">Comments</a>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/german-court-calls-google-aerial-imagery-spying-73915</guid> <pubDate>Fri, 23 Oct 2026 23:18:49 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[Google will pay people to use less electricity so its data centers can use more]]></title> <description><![CDATA[Google will pay people to use less electricity so its data centers can use more. Comments]]></description> <media:thumbnail url="https://www.computerworld.com/wp-content/uploads/2026/10/4239858-0-39174200-1792780454-shutterstock_1859886196.jpg?quality=50&amp;strip=all&amp;w=1024"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/google-will-pay-people-to-use-less-electricity-so-its-data-centers-can-use-more-73912</link> <content:encoded><![CDATA[<div> <div> <div> <div> <div> <div> <div><p> if ( !emtpy($headline_subheadline ) ) : ?&gt; </p><h2> It says it&rsquo;s construction a 1GW virtual power plant, but it&rsquo;s really fair paying group to rotate off their appliances so others can use that power instead. </h2><p> endif; ?&gt; </p> </div> </div> </div> <div id="remove_no_follow"> <div> <div> <div> <p>Google has an answer to several of the <a href="https://en.mycoding.id/category/technology" target="_blank">electricity provision problems that data center building is causing</a>: It has signed <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">an accord alongside energy provider Voltus</a> to build what it&rsquo;s calling a 1-gigawatt virtual power plant, expanding on an before 100 megawatt agreement the two signed before this year.</p> <p>This power factory is virtual in the awareness that it doesn&rsquo;t create any power itself, but aggregates so-called elastic grid capability into one chief asset that can be deployed at times of highest demand. This elastic capability can be in the form of batteries or of load-shedding: asking others to temporarily halt consuming power by shutting downward manufacturing processes or adjusting tens of thousands of astute thermostats at once, efficiently moving their power use to a period whenever there is small demand.</p> <p>Voltus operates by offering incentives to companies to decrease their power use temporarily, and additionally offers inducements to power resellers that they can continue on to their customers.</p> </div> </div> </div> <div> <div> <div> <p>The Google-Voltus agreement volition assist the PJM grid region, the largest power grid in the US supplying 67 myriad group throughout 13 states and Washington DC.</p> <p>It&rsquo;s a PR coup for Google, as <a href="https://en.mycoding.id/category/technology" target="_blank">increased petition for power for its new data centers</a> and those of another hyperscalers is pushing up prices. The additional burden is additionally straining local infrastructure in several areas, expanding utilities&rsquo; chief expenses and additional expanding prices for existing power consumers.</p> </div> </div> </div> </div> </div> </div> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/google-will-pay-people-to-use-less-electricity-so-its-data-centers-can-use-more-73912</guid> <pubDate>Fri, 23 Oct 2026 23:03:40 +0700</pubDate> <author><![CDATA[support@mycoding.id (Adi Gunawan)]]></author> </item> <item> <title><![CDATA[Xbox’s first chief operating officer is out after just a few months]]></title> <description><![CDATA[Xbox’s first chief operating officer is out after just a few months. Xbox's archetypal chief functioning authoritative (COO) is leaving following the new function was created fair a few months ago. Helen Chiang is leaving Microsoft today, according t...]]></description> <media:thumbnail url="https://platform.theverge.com/wp-content/uploads/sites/2/chorus/uploads/chorus_asset/file/25485116/STK048_XBOX2__B.png?quality=90&amp;strip=all&amp;crop=0%2C10.732984293194%2C100%2C78.534031413613&amp;w=1200"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/xbox-s-first-chief-operating-officer-is-out-after-just-a-few-months-73905</link> <content:encoded><![CDATA[<div id="zephr-anchor"><p>Xbox&rsquo;s archetypal chief functioning authoritative (COO) is leaving following the new function was created fair a few months ago. Helen Chiang is leaving Microsoft today, according to an inner Xbox memo seen by <em>The Verge</em>. Chiang has been at Microsoft for 21 years, serving as the caput of <em>Minecraft</em> before being promoted to Xbox chief functioning authoritative in July.</p><p>Xbox CEO Asha Sharma announced Chiang&rsquo;s departure in a amazingly abbreviated memo today. &ldquo;Helen Chiang is leaving Microsoft today. I&rsquo;m grateful for her years of assistance and desire her well,&rdquo; stated Sharma. As Chiang is departing today, her contiguous responsibilities are being divided up between another Xbox leaders for now, and Sharma notes that &ldquo;We&rsquo;ll portion additional on COO guidance as plans are finalized.&rdquo;</p><p>That appears akin the COO stance isn&rsquo;t going distant following fair a few months, but it&rsquo;s not apparent why Chiang is departing following specified a abbreviated stint in the role. At the period of Chiang&rsquo;s promotion, Xbox CEO Asha Sharma described the new chief functioning authoritative function as a archetypal for Xbox, &ldquo;with end-to-end P&amp;L duty throughout content, hardware, platform, and services.&rdquo; The function was created as part of <a href="https://en.mycoding.id/category/technology" target="_blank">Xbox&rsquo;s big &ldquo;reset.&rdquo;</a></p><p>Chiang reported immediately to Sharma, and was promoted to &ldquo;bring our businesses together under one functioning model, making certain we create apparent funding decisions, study from our successes and failures, and clasp ourselves accountable for results.&rdquo;</p><p>Chiang departs amid gossip that Xbox is <a href="https://en.mycoding.id/category/technology" target="_blank">preparing additional layoffs</a> this month, in November, and January. The abrupt and abbreviated memo from Sharma, coupled alongside Chiang&rsquo;s responsibilities being assigned to another Xbox leaders, makes it appear akin this wasn&rsquo;t a resignation.</p><p>I asked Microsoft to comment on Chiang&rsquo;s departure, and the business refused to conversation the circumstances of her exit. &ldquo;We don&rsquo;t conversation idiosyncratic personnel matters,&rdquo; says Kari Perez, Xbox vice chairman of communications. &ldquo;We&rsquo;re grateful for Helen&rsquo;s years of assistance and desire her well.&rdquo;</p><div><p><span><strong>Follow topics and authors</strong> from this narrative to see additional akin this in your personalized homepage nourish and to obtain email updates.</span></p><ul><li id="follow-author-article_footer-dmcyOmF1dGhvclByb2ZpbGU6MTY0"><span aria-expanded="false" aria-haspopup="true" role="button" tabindex="0"><span><span><svg width="9" height="9" viewbox="0 0 9 9" fill="none" xmlns="http://www.w3.org/2000/svg" aria-label="Follow"><path d="M5 0H4V4H0V5H4V9H5V5H9V4H5V0Z"></path></svg></span><span>Tom Warren</span></span></span></li><li><li><li><li><li><li></ul></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/xbox-s-first-chief-operating-officer-is-out-after-just-a-few-months-73905</guid> <pubDate>Fri, 23 Oct 2026 22:39:26 +0700</pubDate> <author><![CDATA[support@mycoding.id (Tom Warren)]]></author> </item> <item> <title><![CDATA[CVE Tracker]]></title> <description><![CDATA[CVE Tracker. Comments]]></description> <media:thumbnail url="https://cve.0xosprey.com/og.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/cve-tracker-73913</link> <content:encoded><![CDATA[<div> <a href="https://en.mycoding.id/category/technology" target="_blank" aria-label="0xosprey.com"> <svg viewbox="0 0 960 738" aria-hidden="true"><path fill="currentColor" d="M8467 7315 c-81 -158 -63 -349 78 -813 25 -85 45 -156 43 -158 -3 -2 -24 33 -48 79 -175 330 -380 627 -511 741 -48 42 -146 92 -157 81 -4 -4 -7 -57 -6 -118 0 -148 30 -235 185 -547 65 -129 116 -236 115 -238 -2 -1 -34 42 -72 95 -188 266 -350 437 -464 488 -51 23 -58 17 -73 -68 -20 -120 19 -240 168 -506 41 -74 75 -137 75 -140 0 -2 -44 40 -97 95 -123 126 -208 196 -284 234 -71 36 -82 37 -103 5 -65 -100 -32 -247 99 -437 31 -45 54 -82 52 -84 -1 -2 -36 22 -76 52 -147 110 -272 156 -321 116 -21 -17 -25 -30 -28 -89 -5 -86 12 -129 87 -222 28 -35 50 -66 48 -67 -2 -2 -29 5 -60 16 -106 37 -179 23 -212 -40 -32 -62 -15 -127 52 -201 35 -39 35 -39 -18 -39 -149 -1 -216 -107 -135 -213 34 -45 34 -45 -12 -57 -94 -23 -152 -80 -152 -149 0 -19 7 -43 17 -53 9 -10 14 -19 12 -21 -2 -2 -28 -18 -58 -37 -91 -57 -130 -129 -96 -177 15 -21 13 -23 -29 -52 -73 -51 -126 -118 -126 -160 0 -21 5 -42 11 -48 8 -8 4 -15 -17 -26 -37 -19 -74 -59 -113 -121 -50 -80 -40 -121 33 -133 35 -5 35 -5 -27 -45 -116 -74 -177 -149 -187 -228 -3 -31 -10 -45 -20 -45 -33 0 -177 245 -250 427 -59 146 -123 194 -390 292 -227 83 -310 120 -510 226 -210 112 -231 119 -200 59 13 -24 19 -25 -79 16 -221 93 -451 166 -1016 321 -850 234 -1391 475 -1870 834 -71 54 -190 143 -264 199 -73 55 -135 101 -137 101 -2 0 5 -23 16 -51 82 -217 311 -429 705 -651 66 -38 115 -68 110 -68 -12 0 -285 96 -490 172 -197 73 -611 240 -851 344 -204 87 -364 147 -372 139 -12 -12 177 -183 268 -243 52 -35 174 -102 270 -150 157 -79 264 -124 555 -237 132 -52 72 -39 -421 90 -836 219 -982 255 -1044 255 -33 0 -13 -20 83 -81 194 -125 442 -222 902 -355 121 -34 215 -63 208 -63 -17 -1 -280 42 -516 84 -257 45 -596 95 -649 95 -50 0 -46 -6 42 -55 151 -85 371 -163 715 -251 268 -69 269 -68 -60 -34 -258 27 -465 43 -471 37 -8 -7 124 -92 206 -132 121 -61 469 -162 566 -166 11 0 -3 -7 -31 -16 -68 -20 -76 -30 -45 -55 70 -57 206 -109 419 -159 129 -30 133 -32 108 -45 -23 -13 -47 -42 -47 -58 0 -39 208 -136 377 -176 52 -12 52 -12 30 -41 -20 -28 -20 -32 -6 -57 21 -38 108 -87 221 -124 89 -29 97 -34 91 -53 -14 -39 -6 -76 22 -105 30 -31 136 -80 218 -100 45 -12 47 -14 46 -44 -4 -68 9 -93 69 -131 55 -35 165 -75 203 -75 16 0 19 -8 19 -45 0 -90 61 -148 190 -181 68 -18 68 -18 72 -76 3 -37 12 -68 24 -86 28 -37 107 -79 177 -94 57 -12 57 -12 57 -66 0 -102 39 -149 152 -183 68 -21 68 -21 68 -74 0 -95 35 -143 126 -172 51 -16 52 -17 57 -61 7 -65 38 -92 114 -99 61 -6 61 -6 65 -48 13 -112 62 -156 189 -170 67 -7 67 -7 72 -42 15 -90 83 -126 233 -122 75 2 85 0 113 -23 62 -53 173 -59 274 -16 46 20 48 20 68 2 28 -26 130 -31 202 -10 74 21 77 21 71 -12 -7 -36 12 -53 71 -60 45 -5 45 -5 -13 -39 -31 -19 -64 -40 -72 -47 -8 -7 -73 -20 -145 -30 -563 -75 -1180 -73 -1775 4 -287 37 -350 37 -350 -2 0 -32 17 -54 66 -87 26 -17 41 -31 32 -31 -8 0 -159 11 -334 25 -322 25 -538 32 -562 16 -35 -22 312 -142 483 -167 50 -7 50 -7 -12 -20 -104 -21 -122 -38 -78 -73 47 -36 322 -81 505 -81 47 0 102 -3 122 -6 38 -7 38 -7 -1 -26 -64 -31 -65 -56 -2 -87 64 -33 158 -52 310 -62 80 -5 158 -12 173 -15 26 -5 26 -6 10 -34 -43 -75 95 -120 374 -120 144 0 147 0 130 -19 -62 -68 107 -103 348 -71 90 11 92 10 75 -21 -10 -20 -9 -25 12 -42 22 -18 35 -19 139 -14 66 3 149 15 194 26 102 27 115 27 93 3 -10 -10 -17 -21 -17 -25 0 -12 106 -38 183 -44 79 -6 79 -6 48 -30 -42 -33 -39 -40 19 -52 93 -20 208 -14 336 19 66 16 120 30 122 30 2 0 0 -10 -3 -21 -7 -21 -6 -22 66 -15 88 9 174 29 249 61 92 38 100 39 100 15 0 -32 21 -34 132 -10 120 26 203 56 383 135 71 32 131 53 132 48 12 -35 32 -48 53 -35 20 12 23 9 50 -51 26 -57 98 -147 118 -147 4 0 18 21 31 47 22 46 22 46 46 -5 44 -94 163 -250 183 -239 5 4 13 23 17 43 6 36 6 36 46 -32 56 -96 100 -146 163 -188 30 -20 57 -36 60 -36 3 0 6 21 6 46 0 47 0 47 50 0 52 -48 103 -76 141 -76 19 0 21 4 16 30 -7 34 -8 34 28 20 18 -7 57 -6 120 1 63 6 118 7 162 1 81 -12 183 -48 183 -66 0 -20 -40 -51 -108 -85 -52 -26 -66 -39 -82 -74 -11 -23 -29 -58 -40 -77 -61 -105 24 -254 156 -276 43 -6 117 19 84 29 -143 45 -189 103 -149 191 11 24 13 24 40 11 46 -24 99 8 114 68 8 29 57 75 63 58 2 -5 -6 -39 -17 -76 -19 -61 -19 -69 -6 -102 8 -19 15 -48 15 -62 0 -42 28 -125 51 -155 50 -64 149 -86 212 -47 56 34 54 48 -7 43 -46 -4 -56 -1 -85 24 -19 15 -40 44 -48 62 -17 42 -9 53 52 70 68 19 94 94 60 175 -22 53 -19 67 13 67 39 0 71 25 92 74 31 67 33 69 66 51 36 -19 73 -19 98 0 32 24 51 18 101 -30 50 -49 75 -97 75 -144 0 -17 11 -42 25 -59 14 -17 25 -41 25 -54 0 -38 49 -125 88 -158 42 -34 102 -41 140 -14 32 22 27 34 -13 34 -51 0 -93 42 -111 109 -13 50 -12 55 6 79 35 44 27 89 -31 167 -28 39 -62 90 -77 115 -14 25 -39 60 -55 77 -17 18 -29 34 -26 36 2 2 33 14 69 26 36 13 94 38 130 57 35 19 76 34 90 34 38 1 104 34 129 66 23 29 26 84 7 125 -10 23 45 85 89 99 48 16 99 3 152 -37 46 -35 46 -35 40 2 -18 112 -161 179 -267 125 -21 -11 -56 -41 -77 -66 -21 -26 -44 -52 -52 -58 -8 -6 -37 -34 -65 -62 -28 -29 -65 -59 -82 -67 -52 -27 -189 -57 -255 -57 -63 0 -63 0 -23 29 87 65 108 155 49 220 -32 35 -34 41 -24 70 19 53 67 66 113 30 26 -20 26 -20 26 6 0 44 -68 105 -116 105 -49 0 -95 -28 -123 -74 -19 -31 -28 -36 -59 -36 -67 0 -132 -68 -132 -138 0 -15 -12 -44 -26 -65 -14 -21 -32 -54 -40 -73 -17 -40 -18 -40 -109 -14 -216 62 -333 144 -410 291 -60 114 -149 361 -133 370 34 19 126 93 230 183 171 149 260 202 428 254 131 40 167 39 267 -6 48 -22 104 -45 123 -50 33 -8 35 -10 35 -53 0 -24 -4 -54 -8 -66 -25 -69 90 23 129 103 57 116 32 243 -71 366 -42 52 -48 64 -51 115 -17 231 -217 396 -599 494 -117 30 -191 55 -278 96 -136 65 -136 65 -117 180 41 257 195 510 514 843 67 69 161 172 209 229 89 103 104 115 260 204 201 116 302 272 302 467 0 127 -21 175 -78 175 -20 0 -37 0 -37 1 0 0 11 32 24 70 73 215 66 509 -19 839 -104 401 -364 1013 -491 1154 -41 45 -41 45 -57 16z"></path><path fill="none" stroke="currentColor" stroke-width="140" stroke-linejoin="round" stroke-linecap="round" pointer-events="none" d="M8467 7315 c-81 -158 -63 -349 78 -813 25 -85 45 -156 43 -158 -3 -2 -24 33 -48 79 -175 330 -380 627 -511 741 -48 42 -146 92 -157 81 -4 -4 -7 -57 -6 -118 0 -148 30 -235 185 -547 65 -129 116 -236 115 -238 -2 -1 -34 42 -72 95 -188 266 -350 437 -464 488 -51 23 -58 17 -73 -68 -20 -120 19 -240 168 -506 41 -74 75 -137 75 -140 0 -2 -44 40 -97 95 -123 126 -208 196 -284 234 -71 36 -82 37 -103 5 -65 -100 -32 -247 99 -437 31 -45 54 -82 52 -84 -1 -2 -36 22 -76 52 -147 110 -272 156 -321 116 -21 -17 -25 -30 -28 -89 -5 -86 12 -129 87 -222 28 -35 50 -66 48 -67 -2 -2 -29 5 -60 16 -106 37 -179 23 -212 -40 -32 -62 -15 -127 52 -201 35 -39 35 -39 -18 -39 -149 -1 -216 -107 -135 -213 34 -45 34 -45 -12 -57 -94 -23 -152 -80 -152 -149 0 -19 7 -43 17 -53 9 -10 14 -19 12 -21 -2 -2 -28 -18 -58 -37 -91 -57 -130 -129 -96 -177 15 -21 13 -23 -29 -52 -73 -51 -126 -118 -126 -160 0 -21 5 -42 11 -48 8 -8 4 -15 -17 -26 -37 -19 -74 -59 -113 -121 -50 -80 -40 -121 33 -133 35 -5 35 -5 -27 -45 -116 -74 -177 -149 -187 -228 -3 -31 -10 -45 -20 -45 -33 0 -177 245 -250 427 -59 146 -123 194 -390 292 -227 83 -310 120 -510 226 -210 112 -231 119 -200 59 13 -24 19 -25 -79 16 -221 93 -451 166 -1016 321 -850 234 -1391 475 -1870 834 -71 54 -190 143 -264 199 -73 55 -135 101 -137 101 -2 0 5 -23 16 -51 82 -217 311 -429 705 -651 66 -38 115 -68 110 -68 -12 0 -285 96 -490 172 -197 73 -611 240 -851 344 -204 87 -364 147 -372 139 -12 -12 177 -183 268 -243 52 -35 174 -102 270 -150 157 -79 264 -124 555 -237 132 -52 72 -39 -421 90 -836 219 -982 255 -1044 255 -33 0 -13 -20 83 -81 194 -125 442 -222 902 -355 121 -34 215 -63 208 -63 -17 -1 -280 42 -516 84 -257 45 -596 95 -649 95 -50 0 -46 -6 42 -55 151 -85 371 -163 715 -251 268 -69 269 -68 -60 -34 -258 27 -465 43 -471 37 -8 -7 124 -92 206 -132 121 -61 469 -162 566 -166 11 0 -3 -7 -31 -16 -68 -20 -76 -30 -45 -55 70 -57 206 -109 419 -159 129 -30 133 -32 108 -45 -23 -13 -47 -42 -47 -58 0 -39 208 -136 377 -176 52 -12 52 -12 30 -41 -20 -28 -20 -32 -6 -57 21 -38 108 -87 221 -124 89 -29 97 -34 91 -53 -14 -39 -6 -76 22 -105 30 -31 136 -80 218 -100 45 -12 47 -14 46 -44 -4 -68 9 -93 69 -131 55 -35 165 -75 203 -75 16 0 19 -8 19 -45 0 -90 61 -148 190 -181 68 -18 68 -18 72 -76 3 -37 12 -68 24 -86 28 -37 107 -79 177 -94 57 -12 57 -12 57 -66 0 -102 39 -149 152 -183 68 -21 68 -21 68 -74 0 -95 35 -143 126 -172 51 -16 52 -17 57 -61 7 -65 38 -92 114 -99 61 -6 61 -6 65 -48 13 -112 62 -156 189 -170 67 -7 67 -7 72 -42 15 -90 83 -126 233 -122 75 2 85 0 113 -23 62 -53 173 -59 274 -16 46 20 48 20 68 2 28 -26 130 -31 202 -10 74 21 77 21 71 -12 -7 -36 12 -53 71 -60 45 -5 45 -5 -13 -39 -31 -19 -64 -40 -72 -47 -8 -7 -73 -20 -145 -30 -563 -75 -1180 -73 -1775 4 -287 37 -350 37 -350 -2 0 -32 17 -54 66 -87 26 -17 41 -31 32 -31 -8 0 -159 11 -334 25 -322 25 -538 32 -562 16 -35 -22 312 -142 483 -167 50 -7 50 -7 -12 -20 -104 -21 -122 -38 -78 -73 47 -36 322 -81 505 -81 47 0 102 -3 122 -6 38 -7 38 -7 -1 -26 -64 -31 -65 -56 -2 -87 64 -33 158 -52 310 -62 80 -5 158 -12 173 -15 26 -5 26 -6 10 -34 -43 -75 95 -120 374 -120 144 0 147 0 130 -19 -62 -68 107 -103 348 -71 90 11 92 10 75 -21 -10 -20 -9 -25 12 -42 22 -18 35 -19 139 -14 66 3 149 15 194 26 102 27 115 27 93 3 -10 -10 -17 -21 -17 -25 0 -12 106 -38 183 -44 79 -6 79 -6 48 -30 -42 -33 -39 -40 19 -52 93 -20 208 -14 336 19 66 16 120 30 122 30 2 0 0 -10 -3 -21 -7 -21 -6 -22 66 -15 88 9 174 29 249 61 92 38 100 39 100 15 0 -32 21 -34 132 -10 120 26 203 56 383 135 71 32 131 53 132 48 12 -35 32 -48 53 -35 20 12 23 9 50 -51 26 -57 98 -147 118 -147 4 0 18 21 31 47 22 46 22 46 46 -5 44 -94 163 -250 183 -239 5 4 13 23 17 43 6 36 6 36 46 -32 56 -96 100 -146 163 -188 30 -20 57 -36 60 -36 3 0 6 21 6 46 0 47 0 47 50 0 52 -48 103 -76 141 -76 19 0 21 4 16 30 -7 34 -8 34 28 20 18 -7 57 -6 120 1 63 6 118 7 162 1 81 -12 183 -48 183 -66 0 -20 -40 -51 -108 -85 -52 -26 -66 -39 -82 -74 -11 -23 -29 -58 -40 -77 -61 -105 24 -254 156 -276 43 -6 117 19 84 29 -143 45 -189 103 -149 191 11 24 13 24 40 11 46 -24 99 8 114 68 8 29 57 75 63 58 2 -5 -6 -39 -17 -76 -19 -61 -19 -69 -6 -102 8 -19 15 -48 15 -62 0 -42 28 -125 51 -155 50 -64 149 -86 212 -47 56 34 54 48 -7 43 -46 -4 -56 -1 -85 24 -19 15 -40 44 -48 62 -17 42 -9 53 52 70 68 19 94 94 60 175 -22 53 -19 67 13 67 39 0 71 25 92 74 31 67 33 69 66 51 36 -19 73 -19 98 0 32 24 51 18 101 -30 50 -49 75 -97 75 -144 0 -17 11 -42 25 -59 14 -17 25 -41 25 -54 0 -38 49 -125 88 -158 42 -34 102 -41 140 -14 32 22 27 34 -13 34 -51 0 -93 42 -111 109 -13 50 -12 55 6 79 35 44 27 89 -31 167 -28 39 -62 90 -77 115 -14 25 -39 60 -55 77 -17 18 -29 34 -26 36 2 2 33 14 69 26 36 13 94 38 130 57 35 19 76 34 90 34 38 1 104 34 129 66 23 29 26 84 7 125 -10 23 45 85 89 99 48 16 99 3 152 -37 46 -35 46 -35 40 2 -18 112 -161 179 -267 125 -21 -11 -56 -41 -77 -66 -21 -26 -44 -52 -52 -58 -8 -6 -37 -34 -65 -62 -28 -29 -65 -59 -82 -67 -52 -27 -189 -57 -255 -57 -63 0 -63 0 -23 29 87 65 108 155 49 220 -32 35 -34 41 -24 70 19 53 67 66 113 30 26 -20 26 -20 26 6 0 44 -68 105 -116 105 -49 0 -95 -28 -123 -74 -19 -31 -28 -36 -59 -36 -67 0 -132 -68 -132 -138 0 -15 -12 -44 -26 -65 -14 -21 -32 -54 -40 -73 -17 -40 -18 -40 -109 -14 -216 62 -333 144 -410 291 -60 114 -149 361 -133 370 34 19 126 93 230 183 171 149 260 202 428 254 131 40 167 39 267 -6 48 -22 104 -45 123 -50 33 -8 35 -10 35 -53 0 -24 -4 -54 -8 -66 -25 -69 90 23 129 103 57 116 32 243 -71 366 -42 52 -48 64 -51 115 -17 231 -217 396 -599 494 -117 30 -191 55 -278 96 -136 65 -136 65 -117 180 41 257 195 510 514 843 67 69 161 172 209 229 89 103 104 115 260 204 201 116 302 272 302 467 0 127 -21 175 -78 175 -20 0 -37 0 -37 1 0 0 11 32 24 70 73 215 66 509 -19 839 -104 401 -364 1013 -491 1154 -41 45 -41 45 -57 16z"></path></svg> </a> <p>Loading&hellip;</p> <p><span><span>Resolution</span> </span> <span><span>Range</span> </span> <span><span>View</span> </span> <span><span>Dates</span> </span> <span><span>Mode</span> </span> <span></span> </p> <p id="dailycap">Last 90 days, daily</p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/cve-tracker-73913</guid> <pubDate>Fri, 23 Oct 2026 22:21:47 +0700</pubDate> <author><![CDATA[support@mycoding.id (Adi Gunawan)]]></author> </item> <item> <title><![CDATA[AI Hasn’t Cracked Local Search Yet. Here’s Why That’s an Opportunity for Local Businesses]]></title> <description><![CDATA[AI Hasn’t Cracked Local Search Yet. Here’s Why That’s an Opportunity for Local Businesses. For local businesses, Google Maps is motionless the internet’s finest genuine estate.]]></description> <media:thumbnail url="https://www.entrepreneur.com/wp-content/uploads/sites/2/2026/10/ai-search-1026-g-1939454438.jpg"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/ai-hasn-t-cracked-local-search-yet-here-s-why-that-s-an-opportunity-for-local-businesses-73919</link> <content:encoded><![CDATA[<p> Opinions expressed by Entrepreneur contributors are their own. </p><div> <h2 id="h-key-takeaways"><strong>Key Takeaways</strong></h2> <ul> <li>AI Overviews have transformed informational search, but traditional local-service searches remain heavily dominated by Google&rsquo;s Local Pack and Maps results.</li> <li>According to<a href="https://en.mycoding.id/category/technology" target="_blank"> Whitespark&rsquo;s investigation into AI Overviews and local search</a>, AI Overviews appeared on fair 15% of traditional local-intent queries, compared alongside Local Packs appearing on 93%.</li> <li>For assistance businesses, ranking motionless matters since consumers searching for a nearby provider frequently need a business, not an AI-generated answer.</li> <li>Google Business Profiles may additionally provision helpful data to the broader AI hunt ecosystem, making powerful local SEO an funding in the two traditional and AI visibility.</li> </ul> <p>There&rsquo;s a <a href="https://en.mycoding.id/category/technology" target="_blank">growing narrative</a> in promotion that traditional hunt matters small all year. AI Overviews answer questions immediately in Google, ChatGPT and Claude propose businesses, and consumers detect companies on social media and another platforms.</p> <p>All of that is true. But following a decade in local <a href="https://en.mycoding.id/category/technology" target="_blank">SEO</a>, I&rsquo;m motionless focused heavily on one certainly traditional strategy: scaling Google Business Profiles and bodily locations for local businesses.</p> <p>The logic is simple: AI has disrupted informational hunt far additional than the hunt for a local assistance provider. A individual searching &ldquo;roofing companies near me&rdquo; or &ldquo;personal hurt attorney St.&nbsp;Louis&rdquo; isn&rsquo;t looking for an explanation. They&rsquo;re looking for a business. Google motionless has an extraordinarily productive merchandise for that: Google Maps and the Local Pack.</p> <h2 id="h-local-search-has-resisted-ai-disruption">Local hunt has resisted AI disruption</h2> <p>Whitespark&rsquo;s <a href="https://en.mycoding.id/category/technology" target="_blank">2026 Local Search Ranking Factors report</a> describes local hunt as &ldquo;insulated&rdquo; from the AI disruption affecting the broader industry. Informational publishers have been hit hard, but local endeavor finding motionless happens mostly through Google&rsquo;s local results.</p> <p>A distinct <a href="https://en.mycoding.id/category/technology" target="_blank">Whitespark study of AI Overviews in local-business searches</a> shows why. It divided searches into three types of intent:</p> <ul> <li><strong>Local queries,</strong> specified as &ldquo;personal hurt lawyers in Phoenix&rdquo;: AI Overviews appeared 15% of the time, during the Local Pack appeared 93% of the time.</li> <li><strong>Informational queries:</strong> <a href="https://en.mycoding.id/category/technology" target="_blank">Whitespark found</a> AI Overviews on 92% of searches and Local Packs on 6%.</li> <li><strong>Hybrid queries:</strong> AI Overviews appeared 97% of the time, compared alongside 17% for Local Packs.</li> </ul> <p>&ldquo;How much does a new rooftop cost?&rdquo; and &ldquo;roofing business near me&rdquo; may arrive from the identical customer, but Google treats them extremely differently. That&rsquo;s why local SEO motionless matters.</p> <h2 id="h-ranking-still-matters-when-the-customer-needs-a-business">Ranking motionless matters whenever the client needs a business</h2> <p>When person needs a business, Google motionless shows the Local 3-Pack, and so do AI Overviews whenever they appear. That outcome is built from Google Business Profile data. It gives searchers nearly everything they need to decide, from reviews and hours to photos, services and directions, without a website click. That&rsquo;s why so many local SEO professionals concentration on maximizing Google Business Profile visibility. For single-location businesses, though, that&rsquo;s normally anywhere the scheme stops.</p> <h2 id="h-location-is-a-distribution-strategy">Location is a allocation strategy</h2> <p>For businesses that can scale, all new location creates another geographic item from which to compete. I&rsquo;m not lone asking how to get a website additional leads, but how to develop the footprint from which a business acquires them.</p> <p>A lawful new location adds additional than an office. It adds another Google Business Profile, another Maps presence, another assessment overview and another proximity point. For businesses that depend on local demand, a bodily location is a customer-acquisition asset as fine as an operational decision.</p> <p>Google&rsquo;s local algorithm is inherently geographic. <a href="https://en.mycoding.id/category/technology" target="_blank">Google&rsquo;s own documentation</a> names relevance, extend and prominence as the chief local ranking factors, and <a href="https://en.mycoding.id/category/technology" target="_blank">Whitespark&rsquo;s 2026 Local Search Ranking Factors</a> confirms that proximity remains a important indication for Local Pack and Maps visibility.</p> <p>A extremely authoritative website can motionless battle in Maps searches far from its office. Opening lawful locations nearer to anywhere customers hunt solves a issue that backlinks and satisfied frequently can&rsquo;t. For assistance businesses that shield ample areas, akin attorneys and residence assistance companies, this method has worked for years.</p> <h2 id="h-ai-may-make-google-business-profiles-more-important">AI may create Google Business Profiles additional important</h2> <p>AI systems motionless need real-world information: who you are, what you do and anywhere you do it. </p> <p>In January 2026, <a href="https://en.mycoding.id/category/technology" target="_blank">Local Falcon analyzed additional than 50 myriad U.S. Google hunt results throughout 1,993 endeavor categories</a>. It observed that AI-generated local recommendations frequently drew on community data from Google Maps, reviews, ratings and Business Profiles.</p> <p>That doesn&rsquo;t average a overview immediately causes an AI recommendation; the association is motionless developing. But it reinforces a larger point. Accurate endeavor data, assistance pages, powerful reviews and third-party citations assistance anywhere a client finds you. The choice isn&rsquo;t local SEO versus AI optimization.</p> <h2 id="h-reviews-are-a-conversion-layer">Reviews are a conversion layer</h2> <p>According to <a href="https://en.mycoding.id/category/technology" target="_blank">BrightLocal&rsquo;s 2026 Local Consumer Review Survey</a>, 97% of consumers peruse online reviews for local businesses, and 71% use Google for those reviews, additional than any another platform.</p> <p>Reviews additionally decide whether visibility turns into a customer. Separate <a href="https://en.mycoding.id/category/technology" target="_blank">BrightLocal consumer-search investigation published in 2026</a> established that 65% of consumers who rejected a local endeavor did so for at smallest one review-related reason, specified as negative reviews, low ratings, or too few or outdated reviews.</p> <p>A endeavor can win the Local Pack belief and motionless endure the client to a competitor alongside a stronger position one listing over.</p> <p>Reviews additionally have a expanding second audience: machines, which use their natural-language item to comprehend what a endeavor does.</p> <h2 id="h-prepare-for-ai-without-abandoning-what-works">Prepare for AI without abandoning what works</h2> <p>None of this method ignoring AI search. <a href="https://en.mycoding.id/category/technology" target="_blank">BrightLocal&rsquo;s 2026 Local Consumer Review Survey</a> established that use of ChatGPT and another generative AI tools for local recommendations jumped from 6% to 45% in a sole year, making AI the third-most-popular origin in the survey. Businesses have to be thinking concerning mentions, citations, organized data and how AI represents their brands.</p> <p>But preparing for anywhere hunt is going is distinct from abandoning anywhere customers are today. In March 2026, Local Falcon compared 189,905 ChatGPT results alongside millions of Google local results for eatery queries. <a href="https://en.mycoding.id/category/technology" target="_blank">Local Falcon established that 83% of restaurants were entirely invisible in ChatGPT, compared alongside lone 14% in Google</a>.</p> <p>That study covers lone restaurants, but it shows how far distinct the two kinds of visibility remain. AI is a new finding layer, not yet a replacement for the existing ones.</p> <h2 id="h-local-seo-is-becoming-more-specialized">Local SEO is becoming additional specialized</h2> <p>The biggest error marketers can create in 2026 is treating hunt as one channel. Informational hunt is changing fast, but transactional local hunt plant alternatively since earth discipline changes the answer.</p> <p>Ask an AI scheme what compound involvement is, and everyone gets basically the identical answer. Ask who should substitute your roof, and location, availability, position and assistance area abruptly matter. Those answers necessitate local signals, and Google has spent decades construction an ecosystem to arrange them. Local Services Ads additionally diagram on Google Business Profile data, which adds another tier of protection.</p> <p>The finest scheme isn&rsquo;t chasing the conduit undergoing the biggest change. It&rsquo;s finding anywhere customers motionless display acquisition intent and construction a defensible existence there. For many local businesses in 2026, that location is motionless Google Maps. Until person behavior says otherwise, I wouldn&rsquo;t bet against it.</p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/ai-hasn-t-cracked-local-search-yet-here-s-why-that-s-an-opportunity-for-local-businesses-73919</guid> <pubDate>Fri, 23 Oct 2026 22:00:00 +0700</pubDate> <author><![CDATA[support@mycoding.id (Dalton Luka)]]></author> </item> </channel> </rss>