<?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>Fri, 06 Nov 2026 04:54:28 +0700</pubDate> <lastBuildDate>Fri, 06 Nov 2026 04:54:28 +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[Silicon Valley's Bad Night]]></title> <description><![CDATA[Silicon Valley's Bad Night. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/silicon-valley-s-bad-night-75897</link> <content:encoded><![CDATA[<div> <p> Our site&rsquo;s safety protections triggered a block. If you think this was in error, email us at <a href="https://en.mycoding.id/category/technology" target="_blank"> <span data-cfemail="31424441415e43457145595450455d505f4558521f525e5c">[email&nbsp;protected]</span></a>. Please contain how you got to this webpage and the Cloudflare Ray ID located at the base of the page. </p> <p> If you would akin to ask concerning approval to admission our content, email us at <a href="https://en.mycoding.id/category/technology" target="_blank"> <span data-cfemail="2844414b4d465b41464f685c404d495c4449465c414b064b4745">[email&nbsp;protected]</span></a>. </p> <p>Cloudflare Ray ID: <span id="ray">a56188b658433f87</span></p> <p> <a href="https://en.mycoding.id/category/technology" target="_blank">Back to <i>The Atlantic</i></a> </p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/silicon-valley-s-bad-night-75897</guid> <pubDate>Fri, 06 Nov 2026 04:54:28 +0700</pubDate> <author><![CDATA[support@mycoding.id (Doris Putra)]]></author> </item> <item> <title><![CDATA[Pwn.college]]></title> <description><![CDATA[Pwn.college. Comments]]></description> <media:thumbnail url="https://pwn.college/themes/dojo_theme/static/img/dojo/ninja.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/pwn-college-75898</link> <content:encoded><![CDATA[<div> <p>You have entered the pwn.college DOJO, an learning phase for learners to create and custom center cybersecurity skills in a hands-on fashion. Entering, you obtain your "white belt" <img src="https://pwn.college/belt/white.svg">, signifying the commencement of your hacker life. From here, you volition study cybersecurity by diving profound into the center of computing, using that journey to assimilate cybersecurity concepts. This volition affect melding your intellect to your terminal, whispering instructions to the CPU, and strumming bits immediately onto networks. That terminal cursor blinking above? It volition be your stalwart companion through this adventure as you practice, acquire your <a href="https://en.mycoding.id/category/technology" target="_blank">belts</a> <img src="https://pwn.college/belt/orange.svg"><img src="https://pwn.college/belt/yellow.svg"><img src="https://pwn.college/belt/green.svg"><img src="https://pwn.college/belt/blue.svg">, and, eventually, create perfect. </p><p>Every dojo has its sensei. This phase is maintained by an <a href="https://en.mycoding.id/category/technology" target="_blank">awesome team</a> of hackers at Arizona State University. It powers much of ASU's cybersecurity curriculum, and is open, for free, to involvement for curious group about the world! </p><p>Enjoy your journey! If you have questions, comments, suggestions, and feedback, delight <a href="https://en.mycoding.id/category/technology" target="_blank">join our Discord server</a> or email us at <a href="https://en.mycoding.id/category/technology" target="_blank"><span data-cfemail="38484f5678484f56165b5754545d5f5d">[email&nbsp;protected]</span></a>! </p><h2>The Rules</h2> <p>The challenges created for pwn.college are, archetypal and foremost, instructional material, and are used to class students at universities about the world. Because of this, we would value that you <b>do not article writeups, walkthrough videos, and livestreams of difficulty solutions</b> to the internet. Obviously, we can't enforce this, but we worked difficult to create all of this public, and we would value your assistance in keeping pwn.college a viable instructional platform. </p><p>Please concur to these rules to continue to the material!<br> </p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/pwn-college-75898</guid> <pubDate>Fri, 06 Nov 2026 04:27:14 +0700</pubDate> <author><![CDATA[support@mycoding.id (Doris Putra)]]></author> </item> <item> <title><![CDATA[Nvidia Kubernetes Engine (NVKE)]]></title> <description><![CDATA[Nvidia Kubernetes Engine (NVKE). Comments]]></description> <media:thumbnail url="https://opengraph.githubassets.com/9d76c2ad0765d373974b9b9b24d5e2f6ef4b004de8aa8a6f35f4d68d824bcf67/dsx-ai-factory/nvke"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/nvidia-kubernetes-engine-nvke-75892</link> <content:encoded><![CDATA[<div data-hpc="true" containertiming="hpc"> <p dir="auto"><a href="https://en.mycoding.id/category/technology" target="_blank"><img src="https://camo.githubusercontent.com/798509b4df525f56802b56f8096862487f08023e3d7561c68656f8dab10d0d6e/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4170616368652d2d322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache--2.0-blue.svg"></a> <a href="https://en.mycoding.id/category/technology" target="_blank"><img src="https://camo.githubusercontent.com/6e8e1d4e7e60812d008261c57ee463dd47f659cdf0d10ccdf816934c1405b5b0/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f476f2d312e32372e332d3030414444382e737667" alt="Go" data-canonical-src="https://img.shields.io/badge/Go-1.27.3-00ADD8.svg"></a></p> <p dir="auto"><strong>Run a managed Kubernetes assistance on your own NVIDIA GPU infrastructure.</strong> NVIDIA Kubernetes&reg; Engine (NVKE) provides the administration aircraft that phase teams instal to create and operate Kubernetes clusters for their customers. Each workload collection has its own Kubernetes authority plane, etcd and node pools. You run the NVKE management plane; your customers use their clusters through the Kubernetes API and kubectl.</p> <blockquote> <p dir="auto"><strong>Preview:</strong> NVKE is accessible as a preview. APIs, configuration and behavior can alter between releases, and we do not propose NVKE for production workloads. See <a href="https://en.mycoding.id/category/technology" target="_blank">Preview position and known limitations</a>.</p> </blockquote> <p dir="auto"><a href="https://en.mycoding.id/category/technology" target="_blank">Get started</a> &middot; <a href="https://en.mycoding.id/category/technology" target="_blank">Documentation</a> &middot; <a href="https://en.mycoding.id/category/technology" target="_blank">Contribute</a> &middot; <a href="https://en.mycoding.id/category/technology" target="_blank">Get help</a></p> <table readabilitydatatable="1"> <thead> <tr> <th>Your goal</th> <th>Start here</th> <th>What you get</th> </tr> </thead> <tbody> <tr> <td><strong>Evaluate without GPU hardware</strong></td> <td><a href="https://en.mycoding.id/category/technology" target="_blank">Local quickstart</a></td> <td>A betterment administration aircraft and a workload collection on simulated machines. No NVIDIA document is required.</td> </tr> <tr> <td><strong>Install on your infrastructure</strong></td> <td><a href="https://en.mycoding.id/category/technology" target="_blank">Plan your installation</a></td> <td>The prerequisites and sequence for preparing nodes, bootstrapping a administration collection and installing its services.</td> </tr> <tr> <td><strong>Build or contribute</strong></td> <td><a href="https://en.mycoding.id/category/technology" target="_blank">Build from source</a></td> <td>The NVKE binaries and the contributor betterment loop.</td> </tr> </tbody> </table> <p dir="auto">The local quickstart runs on a <strong>Linux presenter or VM, amd64 or arm64</strong>, alongside at least <strong>6 CPUs, 12 GiB of liberated recollection and 100 GiB of liberated disk</strong>. It requires Docker, virtual TPM assistance and the tools listed in the guide. Follow its setup through workload-cluster innovation and verify the cluster's nodes study Ready. On macOS, use the <a href="https://en.mycoding.id/category/technology" target="_blank">local location guide</a>, which runs the evaluation inner a Colima virtual machine.</p> <p dir="auto">For a genuine installation, you provision the machines, networking, node images and registries, and configure admission to <strong>NVIDIA Infra Controller (NICo)</strong>. NICo is the sole compatible infrastructure provider at preview. The <a href="https://en.mycoding.id/category/technology" target="_blank">platform and type reference</a> lists validated combinations and pinned dependencies.</p> <ul dir="auto"> <li><strong>Creates autonomous workload clusters.</strong> Request clusters through the NVKE API or nvkectl; NVKE provisions machines through NICo and forms Kubernetes clusters alongside their own authority planes.</li> <li><strong>Manages workload collection lifecycle.</strong> Create, measure and delete node pools, upgrade Kubernetes and substitute nodes. See the <a href="https://en.mycoding.id/category/technology" target="_blank">node pond guide</a> for the manual steps and preview limits on replacement and upgrades.</li> <li><strong>Establishes node identity.</strong> Nodes attest through SPIFFE/SPIRE using their TPM before receiving associate credentials. Encryption of etcd data is available per cluster.</li> <li><strong>Connects builds to deployment.</strong> Its companion project, <a href="https://en.mycoding.id/category/technology" target="_blank">NVIDIA Kubernetes Recipes (NVKR)</a>, builds node images and NVKE components from pinned inputs. NVKE deploys those artifacts; NVKR owns their build and publish evidence.</li> </ul> <p dir="auto">The preview needs definitive controller configuration: API authentication is off and the API uses plain HTTP following installation. Configure <a href="https://en.mycoding.id/category/technology" target="_blank">API authentication and protected access</a> before admitting callers. The administration collection does not upgrade, measure or replace itself, and there is no management-plane upgrade or backup/restore procedure. FDE node images are for evaluation and provision no data-at-rest confidentiality. Read the <a href="https://en.mycoding.id/category/technology" target="_blank">known limitations</a> before choosing an evaluation or facility path.</p> <p dir="auto">The diagram shows the NVKE merchandise family, how it sits on NICo and your GPU machines, and which components conversation to all other.</p> <p dir="auto"><a href="https://en.mycoding.id/category/technology" target="_blank"><img src="https://github.com/dsx-ai-factory/nvke/raw/main/docs/assets/diagrams/product-family.svg" alt="NVKE merchandise family. NVKR builds and signs artifacts and publishes them to a registry. The controller installs the administration cluster&#039;s components, the NVKE administration plane, CAPNICo and NVKE observability, from the charts and images in the registry. The administration aircraft requests machines through CAPNICo, which calls NICo, and drives all workload cluster. NICo provisions NVIDIA GPU machines from the node OS image, and those machines rotate into the workload cluster&#039;s Kubernetes nodes, all operating nvke-agent, under the cluster&#039;s Kubernetes authority plane. The accelerated runtime produced by AICR and NVKE observability are optional in the workload cluster. The client uses kubectl against the authority plane."></a></p> <p dir="auto">NVKE is not a Kubernetes allocation and not a Cluster API flavour. It is a <strong>self-hosting factory for Kubernetes clusters</strong>: a throwaway kernel cluster stands up a administration cluster, and the administration aircraft on it afterward provisions and lifecycle-manages many secluded workload clusters on demand.</p> <p dir="auto">An facility has two kinds of Kubernetes cluster:</p> <ul dir="auto"> <li>The <strong>management cluster</strong> runs the NVKE administration aircraft and infrastructure controllers. nvkectl forms it using a impermanent kernel cluster; installing the management-plane services is a distinct step.</li> <li><strong>Workload clusters</strong> run client applications. The administration aircraft creates and operates them through NICo, Cluster API and the node agent.</li> </ul> <p dir="auto">Read <a href="https://en.mycoding.id/category/technology" target="_blank">What is NVKE</a> for the controller workflow and <a href="https://en.mycoding.id/category/technology" target="_blank">Architecture</a> for the implementation and data flows.</p> <p dir="auto">Use <strong>Go 1.27.3</strong>, the type pinned in <a href="https://en.mycoding.id/category/technology" target="_blank">go.work</a>, and <strong>GNU Make 4 or later</strong>. Public Go modules must be reachable on the archetypal build. <a href="https://en.mycoding.id/category/technology" target="_blank" rel="nofollow">Flox</a> is optional and supplies the repository's betterment tools; on macOS, it additionally supplies GNU Make 4. See <a href="https://en.mycoding.id/category/technology" target="_blank">Development</a> for toolchain setup.</p> <div dir="auto" data-snippet-clipboard-copy-content="//github.com/dsx-ai-factory/nvke.git cd nvke make build"><pre>git copy https://github.com/dsx-ai-factory/nvke.git <span>cd</span> nvke make build</pre></div> <p dir="auto">This builds the workspace and writes nine binaries to bin/: agent, updater, controller, nvkectl, capd-reboot-controller, nvke-os-image-check, management-engine, tenant-api and operator-api. Building does not commencement a management aircraft or create a cluster. The node delegate runs on Linux.</p> <p dir="auto">The <a href="https://en.mycoding.id/category/technology" target="_blank">workspace guide</a> explains the modules and outputs. For local services and test environments, see <a href="https://en.mycoding.id/category/technology" target="_blank">Local betterment setup</a>. Before submitting a change, prosecute <a href="https://en.mycoding.id/category/technology" target="_blank">CONTRIBUTING.md</a> and run make preflight; it selects checks for the modules you changed.</p> <p dir="auto">The <a href="https://en.mycoding.id/category/technology" target="_blank">documentation index</a> links the remaining guides and references.</p> <p dir="auto">Contributions, bug reports and records improvements are welcome. Start alongside <a href="https://en.mycoding.id/category/technology" target="_blank">CONTRIBUTING.md</a>; open an matter before substantial work so maintainers can concur on the approach.</p> <ul dir="auto"> <li><strong>Questions:</strong> <a href="https://en.mycoding.id/category/technology" target="_blank">GitHub Discussions</a>.</li> <li><strong>Chat:</strong> the #nvke conduit in the DSX AI Factory Slack. <a href="https://en.mycoding.id/category/technology" target="_blank" rel="nofollow">Get an invite</a>.</li> <li><strong>Bugs and characteristic requests:</strong> <a href="https://en.mycoding.id/category/technology" target="_blank">GitHub Issues</a>.</li> <li><strong>Security vulnerabilities:</strong> prosecute <a href="https://en.mycoding.id/category/technology" target="_blank">SECURITY.md</a> and study privately.</li> <li><strong>Community:</strong> <a href="https://en.mycoding.id/category/technology" target="_blank">Code of Conduct</a>, <a href="https://en.mycoding.id/category/technology" target="_blank">Governance</a>, <a href="https://en.mycoding.id/category/technology" target="_blank">Maintainers</a> and <a href="https://en.mycoding.id/category/technology" target="_blank">Support</a>.</li> <li><strong>Releases:</strong> <a href="https://en.mycoding.id/category/technology" target="_blank">release process</a>.</li> <li><strong>CI health:</strong> the <a href="https://en.mycoding.id/category/technology" target="_blank" rel="nofollow">CI dashboard</a> shows the final thirty runs of all workflow and refreshes hourly.</li> </ul> <p dir="auto">Kubernetes&reg; is a registered trademark of The Linux Foundation in the United States and another countries. NVIDIA and the NVIDIA logo are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and another countries. Other business and merchandise names may be trademarks of the corresponding companies with which they are associated.</p> <p dir="auto">Apache License 2.0. See <a href="https://en.mycoding.id/category/technology" target="_blank">LICENSE</a> and <a href="https://en.mycoding.id/category/technology" target="_blank">NOTICE</a>.</p> <p dir="auto">Copyright (c) 2026 NVIDIA CORPORATION &amp; AFFILIATES. All entitlements reserved.</p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/nvidia-kubernetes-engine-nvke-75892</guid> <pubDate>Fri, 06 Nov 2026 04:16:26 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[Closed AI models dominate the price-performance frontier]]></title> <description><![CDATA[Closed AI models dominate the price-performance frontier. Comments]]></description> <media:thumbnail url="https://village.dev/blog/closed-ai-models-now-dominate-the-price-performance-frontier/og-d86847dd67737c6e.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/closed-ai-models-dominate-the-price-performance-frontier-75893</link> <content:encoded><![CDATA[<div> <div> <p>Village&rsquo;s <a href="https://en.mycoding.id/category/technology" target="_blank">LLM Atlas</a> maps the price-performance frontier: the strongest AI example at all cost point.</p> <h2 id="closed-models-hold-almost-every-budget">Closed models clasp nearly all budget</h2> <figure> <p><img alt="Two dispersed parcels of LLM Atlas capability mark against estimated disbursal per task, related to GPT-5 at elevated effort, for all example released by June 30 and by October 31, 2026, alongside the price-performance frontier drawn through them. In June, 8 of the 19 points on the frontier were open-weight, including DeepSeek-V4-Flash, GLM-5.2, Gemma 4 E4B IT, Hy3 preview and Llama 3 8B Instruct, and an open example was the finest buy at 41% of budgets from 1% to 3 times GPT-5’s cost. By October 31, 5 of 21 were, all in the cheaper fractional of the frontier (DeepSeek V4.1 Flash, Gemma 4 E4B IT, Llama 3 8B Instruct, MiMo-V2.6-Flash), and the portion of budgets cut to 3%." loading="lazy" decoding="async" width="880" height="464" src="https://village.dev/_astro/frontier-june-and-now.mRhv1aMX_SHjFf.svg"></p> </figure> <ul> <li><strong>An open-weight example is the finest buy at 3% of budgets.</strong> Nearly all of those are at the cheap end, held by Google&rsquo;s Gemma 4 E4B and Xiaomi&rsquo;s MiMo-V2.6-Flash.</li> <li><strong>In June, it was 41%.</strong> DeepSeek V4 Flash solitary was the finest buy throughout nearly a third of budgets, alongside Zhipu&rsquo;s GLM-5.2 fair complete it.</li> <li><strong>Two OpenAI releases took most of that back.</strong> GPT-6 Luna in September and GPT-6.1 Terra in October now shield the budgets open models used to win, alongside Anthropic&rsquo;s Claude Haiku 5.5.</li> </ul> <h2 id="open-models-have-led-on-value-before">Open models have led on value before</h2> <figure> <p><img alt=" Q1 2024 6%; Q2 2024 42%; Q3 2024 19%; Q4 2024 32%; Q1 2025 7%; Q2 2025 7%; Q3 2025 52%; Q4 2025 30%; Q1 2026 26%; Q2 2026 41%; Q3 2026 20%; October 31, 2026 3%." loading="lazy" decoding="async" width="880" height="408" src="https://village.dev/_astro/open-best-buy-share.D5kfoeCH_T0JH7.svg"></p> </figure> <ul> <li><strong>Today&rsquo;s portion is the lowest we have measured.</strong> At the end of all fourth since 2024, open models held at smallest 6% of budgets.</li> <li><strong>The peaks came from sole releases.</strong> DeepSeek-V3.2-Exp was the finest buy at nearly fractional of all budgets the week it launched in September 2025.</li> <li><strong>None of them lasted.</strong> After all peak, the open portion cut by concerning fractional or additional by the next fourth as closed labs shipped cheaper tiers.</li> </ul> <p>Open models win on value in bursts: a strong, cheap release, normally from DeepSeek, takes a broad collection of budgets until the next closed example undercuts it. The latest closed releases have been the two cheaper and stronger than item open, so the collection has shrunk to the extremely base of the cost range.</p> <h2 id="why-closed-labs-may-be-winning-on-value">Why closed labs may be winning on value</h2> <p>Three explanations fit the pattern:</p> <ul> <li><strong>Closed labs can distill their own frontier models.</strong> A lab alongside the strongest example can train cheaper ones on its outputs in-house, and today&rsquo;s cheap closed tiers followed their flagships inside weeks, as Claude Haiku 5.5 did two weeks following Claude Opus 5.5. Open labs have to commencement from their own, weaker models, since closed labs&rsquo; conditions mostly bar training competitors on their outputs.</li> <li><strong>Closed labs publish entire families.</strong> OpenAI&rsquo;s GPT-6 and GPT-6.1 models, from Luna and Terra up to Sol and Astra, clasp 11 of the frontier&rsquo;s 21 points between them, so one generation covers nearly all price.</li> <li><strong>Closed labs may assist additional cheaply.</strong> OpenAI, Anthropic and Google run conclusion at enormous scale, Google on its own chips, which can lesser what all project costs; most open-model labs assist far small traffic.</li> </ul> <h2 id="how-we-built-this">How we built this</h2> <p>This study uses Village&rsquo;s <a href="https://en.mycoding.id/category/technology" target="_blank">LLM Atlas</a>, which estimates a capability mark for all example and reasoning environment from community benchmark results and, alongside a distinct disbursal model, its disbursal per project from evaluators&rsquo; runs, described in its <a href="https://en.mycoding.id/category/technology" target="_blank">methodology</a>. Costs are related to GPT-5 at elevated effort. For all date, we obtain all example released by afterward and discover the most capable one at all of 201 budgets dispersed evenly on a log measure from 1% to three times GPT-5&rsquo;s cost. The scores are from October 31, 2026; Atlas updates as new results arrive.</p> <p>Costs indicate what evaluators paid through hosted APIs, and open models can be cheaper to run on your own hardware. Restricting to models scored on at smallest 10 benchmark families, or narrowing the budgets to 3% to one times GPT-5&rsquo;s cost, gives the identical pattern; widening them to 0.3% to ten times raises today&rsquo;s portion to 16%, since small open models motionless win at the extremely cheapest end.</p> </div> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/closed-ai-models-dominate-the-price-performance-frontier-75893</guid> <pubDate>Fri, 06 Nov 2026 03:49:56 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[Castration extends life span in mice]]></title> <description><![CDATA[Castration extends life span in mice. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/castration-extends-life-span-in-mice-75894</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/castration-extends-life-span-in-mice-75894</guid> <pubDate>Fri, 06 Nov 2026 03:38:29 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[Tesla and SpaceX lose over $420B in combined market cap in the two days]]></title> <description><![CDATA[Tesla and SpaceX lose over $420B in combined market cap in the two days. Comments]]></description> <media:thumbnail url="https://image.cnbcfm.com/api/v1/image/108443511-1792616630586-108443511-1792616084338-gettyimages-2297246496-AFP_C9Q98QB.jpeg?v=1792701546&amp;w=1920&amp;h=1080"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/tesla-and-spacex-lose-over-420b-in-combined-market-cap-in-the-two-days-75895</link> <content:encoded><![CDATA[<div id="ArticleBody-InlineImage-108443511" data-test="InlineImage"><div><div><p>SpaceX CEO Elon Musk looks on as President Donald Trump speaks to the media following a gathering alongside innovation executives concerning synthetic intellect at the White House in Washington, Sept. 29, 2026.</p><p>Kent Nishimura | AFP | Getty Images</p></div></div></div><div><p><span data-test="QuoteInBody" id="RegularArticle-QuoteInBody-1"><a href="https://en.mycoding.id/category/technology" target="_blank">SpaceX</a><span><span id="-WatchlistDropdown" data-analytics-id="-WatchlistDropdown"></span></span></span> and<span data-test="QuoteInBody" id="RegularArticle-QuoteInBody-2"><a href="https://en.mycoding.id/category/technology" target="_blank"> Tesla</a><span><span id="-WatchlistDropdown" data-analytics-id="-WatchlistDropdown"></span></span></span> shares declined by concerning 9% and 11%, respectively, on Thursday midday alongside investors concerned that Elon Musk could visage new legislative probes &mdash; and his companies stricter regulation &mdash; following the U.S. midterm elections. </p><p>The declines, which correlated alongside a <a href="https://en.mycoding.id/category/technology" target="_blank">broader tech sell-off</a>, brought total market cap losses for SpaceX and Tesla to complete $420 milliard since Tuesday's close.</p><p>Musk's wealth, which had topped $1 trillion following SpaceX's first community offering in June, is now downward below $800 billion, having dropped concerning $90 milliard in the former week, <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank">according to Forbes</a>. He is motionless the richest man in the world.</p><p>Musk was the biggest contributor to GOP candidates and causes in the midterms, alongside his financial contributions <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank">exceeding $470 million</a>, the Financial Times archetypal reported. </p><p>Despite his bolstering the GOP war chest, most of the candidates Musk backed <a href="https://en.mycoding.id/category/technology" target="_blank">lost their races</a>. </p><p>Democrats won authority of the two the House and Senate. And in Texas, anywhere the two Tesla and SpaceX are headquartered, Democrats Sen.-elect James Talarico and Gov.-elect Gina Hinojosa attack longtime Musk allies, province Attorney General Ken Paxton and Gov. Greg Abbott. </p><p>Deutsche Bank analysts wrote in a note out on Wednesday, "While guideline is naturally difficult to predict, we could envision SpaceX facing several incremental headwinds in this category of backdrop." </p><p>Gov.-elect Hinojosa "made data centers a important run issue," the analysts noted, calling for "a moratorium on new approvals until the parliament passes stronger protections on h2o use, power costs, local control, and incentives," and criticizing tax breaks for ample facilities.</p><p>Tesla and SpaceX are the two construction out AI infrastructure in Texas, and are preparedness to build Terafab, a enormous facility, which volition contain a data center and sprawling semiconductor factory, in Grimes County, Texas.</p><p>SpaceX additionally plans to build out a "supercomputer" at its Starbase, Texas, initiate facility and business town, according to business <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank">job listings</a>.</p><p>Deutsche Bank analysts additionally wrote that SpaceX's Texas compute capability could now be at hazard of delays. Capital expenditures by the business may need to addition to encounter the requirements of tighter, anticipated regulations about data center buildout, the analysts wrote.</p><p>Musk and SpaceX have been instructed to maintain records concerning restrictions imposed on a armed forces type of the Starlink moon net assistance in Ukraine, <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank">CNN archetypal reported</a>, citing an aide to a Democratic senator. The restrictions hampered the country's capability to defend against attacks by Russia.</p><p>Additionally, regulatory scrutiny could obstacle chances for Musk to merge SpaceX and Tesla, an idea he has promoted, during acknowledging shareholders' endorsement would be required first.</p><p>SpaceX and Tesla had misplaced concerning $456 milliard in market cap by the near of endeavor on Thursday.</p><p>--<em>CNBC's </em><a href="https://en.mycoding.id/category/technology" target="_blank"><em>Nick Wells</em></a><em> contributed reporting.</em></p></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/tesla-and-spacex-lose-over-420b-in-combined-market-cap-in-the-two-days-75895</guid> <pubDate>Fri, 06 Nov 2026 03:30:25 +0700</pubDate> <author><![CDATA[support@mycoding.id (Riki Setiawan)]]></author> </item> <item> <title><![CDATA[Investors wipe $2.5T off Nasdaq as blue tsunami prompts AI fears]]></title> <description><![CDATA[Investors wipe $2.5T off Nasdaq as blue tsunami prompts AI fears. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/investors-wipe-2-5t-off-nasdaq-as-blue-tsunami-prompts-ai-fears-75884</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/investors-wipe-2-5t-off-nasdaq-as-blue-tsunami-prompts-ai-fears-75884</guid> <pubDate>Fri, 06 Nov 2026 02:11:40 +0700</pubDate> <author><![CDATA[support@mycoding.id (Adi Gunawan)]]></author> </item> <item> <title><![CDATA[I moved from Texas to South Korea after a breakup. Twenty years later, I have no interest in going back.]]></title> <description><![CDATA[I moved from Texas to South Korea after a breakup. Twenty years later, I have no interest in going back.. Ryan Phillips was delivered and raised in Texas. Now he smokes flesh and runs a ranch in Seoul.]]></description> <media:thumbnail url="https://i.insider.com/6aec02369270da3cc6668499?width=1200&amp;format=jpeg"/> <category><![CDATA[Business]]></category> <link>https://en.mycoding.id/i-moved-from-texas-to-south-korea-after-a-breakup-twenty-years-later-i-have-no-interest-in-going-back-75883</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/6aebfd299270da3cc6668489?width=2000&amp;format=jpeg&amp;auto=webp" srcset="https://i.insider.com/6aebfd299270da3cc6668489?width=400&amp;format=jpeg&amp;auto=webp 400w, https://i.insider.com/6aebfd299270da3cc6668489?width=500&amp;format=jpeg&amp;auto=webp 500w, https://i.insider.com/6aebfd299270da3cc6668489?width=700&amp;format=jpeg&amp;auto=webp 700w, https://i.insider.com/6aebfd299270da3cc6668489?width=1000&amp;format=jpeg&amp;auto=webp 1000w, https://i.insider.com/6aebfd299270da3cc6668489?width=1300&amp;format=jpeg&amp;auto=webp 1300w, https://i.insider.com/6aebfd299270da3cc6668489?width=2000&amp;format=jpeg&amp;auto=webp 2000w" sizes=" 1280px) 900px" alt="A man alongside a dog in corn sectors in Korea." decoding="sync"> </p></div> <figcaption e-name="image-caption"> <span e-name="image-source" itemprop="creditText">Provided by Ryan Phillips</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> <span>Ryan Phillips moved to South Korea in his 20s to get complete a breakup. Now, he's in his 40s and operating a ranch near Seoul.</span> </figcaption> </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 Ryan Phillips, 47, the owner of Bearfoot Gardens, a ranch in Seoul. His words have been edited for dimension and clarity.</em></p><p>I <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">moved to Seoul </a>in 2006, the identical twelvemonth my association alongside the female I idea was the one ended.</p><p>One day, I came residence from my accounting job to discover she'd moved out. We'd lone been living together for a brace of months.</p><p>I misplaced it: I recall breaking the phone following we talked. But afterward a companion who was concerning to go to Korea to instruct English told me, "Man, fair arrive to Korea. We'll discover you a job." I thought: perchance that's what I need.</p> <p>I was 27. And during I'm the son of a half-<a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Korean adoptee</a>, I didn't conversation Korean. I had traveled widely, but I'd never been to Korea or equal Asia.</p><h2 id="fddb8904-df2f-4301-80e6-1b2b990f8040" data-toc-id="fddb8904-df2f-4301-80e6-1b2b990f8040">The commencement of a Korean odyssey</h2><p>My begetter was delivered in Korea and brought complete to the US whenever he was 3. He and my mom were elevated academy sweethearts and prom king and queen in the '70s. They've been together always since.</p><p>Growing up, we moved about Texas a few times and eventually made our residence north of Dallas.</p><p>I got a flat in global economics and backing from Austin College in 2000, but my occupation took an unexpected turn.</p><p>After trying accounting, I ran into the owners of a ranch anywhere I'd done odd jobs as a teenager. They asked, "Can you cook? We need a chef." I thought, "Let me have a attempt at that," and ended up spending concerning two years cooking mostly <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">American barbecue</a> before returning to accounting.</p> <p>The archetypal job I landed in Korea was instruction cooking classes to children at an costly preschool.</p><p>I initially planned to do it for a twelvemonth or two before returning to the US, but the division caput appreciated my cognition and persuaded me to instruct in the culinary program at a small career-training college.</p><p>In 2015, I went rear to academy for a master's in hospitality at Le Cordon Bleu in Seoul.</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/6aec01b1c54bfafa65abf2a5&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:5712,&quot;aspectRatioH&quot;:4284}}' alt="A man position alongside Bearfoot Gardens sign in the rear and holding new crops."> </p></div> <span> <figcaption e-name="image-caption"> Phillips grows 30 distinct varieties of chilies on his ranch in Seoul.&nbsp; <span e-name="image-source" itemprop="creditText"> Provided by Ryan Phillips </span> </figcaption> </span> </figure> <h2 id="6d92d926-d3c6-4d9f-85eb-1179c6f69f91" data-toc-id="6d92d926-d3c6-4d9f-85eb-1179c6f69f91">Eventually, I thought: I've got to discover several land</h2><p id="89d47382-b610-4a98-bc2d-28f6b0f38150">On the archetypal storyline of district I rented, I unsuccessful miserably. Four another guys and I wanted to ranch organically, without herbicides, pesticides, or chemic fertilizers, and learned mostly from YouTube.</p><p>It took three years to see results. Curious local farmers would halt by, see our chilies, and shout, "Not akin that! Single stalk!" in Korean. That's anywhere the name of our hot sauce, Han-joolgi, or "single stalk," came from. Our hot sauces, which use ingredients from the farm, are now sold in three restaurants about Seoul.</p><p>I started renting and got set up on my current storyline of district in Hwaseong, on the southwestern <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">outskirts of Seoul,</a> before this year. I named the ranch Bearfoot Gardens. I don't live on the ranch but anticipation to move extremely near next year</p><p>We're now expanding 30 distinct varieties of chilies, as fine as basil, thyme, oregano, corn, and more. Along alongside personal catering, I clasp farm-to-table events here, ranging from dozens to hundreds of people, charging between 50,000 and 150,000 Korean won, or $37 to $113 per person.</p><p>We assist American barbecue, Mexican food, and Korean food.</p><p>We try and do things you can't do in restaurants. For a latest event, we built a entire blaze pit.</p><p>I do all the cooking, alongside assistance from temp workers and volunteers. International students and US armed forces personnel additionally frequently sojourn the farm. In a distinct kitchen, I fume meats and flask hot sauces. After seven durable years, the ranch is doing fine now.</p><p>There's been a lot of test and error to get here.</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/6aebfbd3c54bfafa65abf29a&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:1484,&quot;aspectRatioH&quot;:1113}}' alt="A man in a cowboy hat and apron operating a barbecue in Korea."> </p></div> <span> <figcaption e-name="image-caption"> Phillips runs events at Bearfoot Gardens in Korea, frequently serving American barbecue.&nbsp; <span e-name="image-source" itemprop="creditText"> Provided by Ryan Phillips </span> </figcaption> </span> </figure> <h2 id="aa3af437-2115-419b-ad9d-f7d8749edbb2" data-toc-id="aa3af437-2115-419b-ad9d-f7d8749edbb2">No plans to come back to the US</h2><p id="aa3af437-2115-419b-ad9d-f7d8749edbb2">I've been <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">living in Seoul</a> for 20 years now. I desire my Korean was better, but considering how I use it for work, I think it's beautiful darn good.</p><p>It took 10 years to awareness at residence here. There was the tongue barrier, and build tongue that I was small acquainted with. It felt akin "Don't contact me, you're a stranger. You're not in my world." But now I've learned to regard it as different.</p><p>I'm sole again these days, and activity is busy, so there's not much period for dating. I try to expend period alongside allies whenever I can. I akin to sojourn new restaurants and assistance my friends' restaurants.</p><p>I've additionally watched the viewpoint on <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Korean food</a> alter abroad. Each year, whenever I go rear to Texas to see family and friends, additional group inform me how they are making kimchi at residence or have tried a new Korean dish. It's a beautiful beautiful way to relate.</p><p>Other than family and allies living elsewhere, I have zero <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">reasons to depart Korea</a>.</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>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/i-moved-from-texas-to-south-korea-after-a-breakup-twenty-years-later-i-have-no-interest-in-going-back-75883</guid> <pubDate>Fri, 06 Nov 2026 02:10:22 +0700</pubDate> <author><![CDATA[support@mycoding.id (Nicholas Yong)]]></author> </item> <item> <title><![CDATA[Thinking Machines Lab is closing in on a new $5 billion funding round at a $40 billion valuation]]></title> <description><![CDATA[Thinking Machines Lab is closing in on a new $5 billion funding round at a $40 billion valuation. Founded by Mira Murati, Thinking Machines Lab is set to near a new circular that values the business at $40 billion.]]></description> <media:thumbnail url="https://i.insider.com/6aed0fed9270da3cc6668a95?width=1200&amp;format=jpeg"/> <category><![CDATA[Business]]></category> <link>https://en.mycoding.id/thinking-machines-lab-is-closing-in-on-a-new-5-billion-funding-round-at-a-40-billion-valuation-75880</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/6aed09259270da3cc6668a8d?width=2000&amp;format=jpeg&amp;auto=webp" srcset="https://i.insider.com/6aed09259270da3cc6668a8d?width=400&amp;format=jpeg&amp;auto=webp 400w, https://i.insider.com/6aed09259270da3cc6668a8d?width=500&amp;format=jpeg&amp;auto=webp 500w, https://i.insider.com/6aed09259270da3cc6668a8d?width=700&amp;format=jpeg&amp;auto=webp 700w, https://i.insider.com/6aed09259270da3cc6668a8d?width=1000&amp;format=jpeg&amp;auto=webp 1000w, https://i.insider.com/6aed09259270da3cc6668a8d?width=1300&amp;format=jpeg&amp;auto=webp 1300w, https://i.insider.com/6aed09259270da3cc6668a8d?width=2000&amp;format=jpeg&amp;auto=webp 2000w" sizes=" 1280px) 900px" alt="Mira Murati, Thinking Machines Lab." 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>Mira Murati, chief administrator of Thinking Machines Lab.</span> <span> <span e-name="image-source" itemprop="creditText">David Paul Morris/Bloomberg via Getty Images</span> </span> </figcaption> </span> </span> </figure> </div> <div data-component-type="image-modal" data-load-strategy="lazy"> <p>AI startup <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;outbound_click&quot;}' rel=" nofollow">Thinking Machines Lab</a> is set to near a caller circular of backing as shortly as this week.</p><p>The startup is raising $5 milliard at a $40 milliard pre-money valuation, according to multiple sources acquainted alongside the matter. Accel is foremost the round, according to the sources. </p><p>Previously, Thinking Machines Lab, which <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">was founded</a> by <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Mira Murati,</a> was appreciated at additional than $10 milliard and raised a <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">$2 milliard kernel round</a> final twelvemonth before launching a product. </p><p>This circular would additional than triple Thinking Machines' <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">valuation from its final community circular final year,</a> showing that investors are motionless consenting to location enormous bets on AI labs equal as the industry's endowment war intensifies. Last year, the business was <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;outbound_click&quot;}' rel=" nofollow">seeking a new round</a> at a $50 milliard valuation, but talks were abandoned. </p><p>A delegate for TML declined to comment. Accel did not react to a petition for comment. </p><p>It emerged from stealth final twelvemonth as among the highest-profile AI labs gratitude to its leadership's profound ties to OpenAI. CEO Mira Murati earlier served as OpenAI's chief innovation officer, during another key figures helped train the first versions of ChatGPT. </p><p>The company's archetypal tool, Tinker, is a scheme that enables users to additional effortlessly fine-tune ample tongue AI models. TML <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;outbound_click&quot;}' rel=" nofollow">released</a> a new type of Tinker on Thursday, stating that the example has seen gains in AI coding. </p><p>The startup has attracted top endowment akin rivalrous coder <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Neal Wu</a>. At the identical time, the battle for&nbsp;<a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">AI talent</a>&nbsp;has intensified, and Thinking Machines has misplaced many of its&nbsp;<a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">founding members</a>, including Barret Zoph, Luke Metz, and Andrew Tulloch, to <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">rival companies</a>.</p><p>As Business Insider reported in May, concerning a third of its <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">founding team</a> has <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">left Thinking Machines</a>, driven by a mix of factors including huge pay packages offered by <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">rival AI labs akin Meta</a> and OpenAI.</p> <p>In September, The Information reported that Thinking Machines Lab was in talks to lift a new circular of funding.</p><p><em>Sign up for the VC Insider newsletter </em><a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel=""><em>here.</em></a></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>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/thinking-machines-lab-is-closing-in-on-a-new-5-billion-funding-round-at-a-40-billion-valuation-75880</guid> <pubDate>Fri, 06 Nov 2026 01:40:20 +0700</pubDate> <author><![CDATA[support@mycoding.id (Katie Roof,Stephen Council,Rosalie Chan,Geoff Weiss,Ben Bergman)]]></author> </item> <item> <title><![CDATA[Major Investors Are Skeptical Anthropic IPO Can Achieve $1.5T Valuation]]></title> <description><![CDATA[Major Investors Are Skeptical Anthropic IPO Can Achieve $1.5T Valuation. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/major-investors-are-skeptical-anthropic-ipo-can-achieve-1-5t-valuation-75885</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/major-investors-are-skeptical-anthropic-ipo-can-achieve-1-5t-valuation-75885</guid> <pubDate>Fri, 06 Nov 2026 01:31:11 +0700</pubDate> <author><![CDATA[support@mycoding.id (Adi Gunawan)]]></author> </item> <item> <title><![CDATA[Airbnb is working on an AI travel agent]]></title> <description><![CDATA[Airbnb is working on an AI travel agent. Airbnb plans to rotate out an AI delegate in the archetypal fractional of 2027 that volition assistance users scheme and publish travel, the business stated in its Q3 2026 earnings shareholder l...]]></description> <media:thumbnail url="https://platform.theverge.com/wp-content/uploads/sites/2/2025/04/acastro_STK090_06.jpg?quality=90&amp;strip=all&amp;crop=0%2C10.761835884455%2C100%2C78.47632823109&amp;w=1200"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/airbnb-is-working-on-an-ai-travel-agent-75879</link> <content:encoded><![CDATA[<div><div><div><div><div><div><div><p><a href="https://en.mycoding.id/category/technology" target="_blank"><img alt="Jay Peters" data-chromatic="ignore" loading="lazy" width="36" height="36" decoding="async" data-nimg="1" srcset="https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=48 1x, https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=96 2x" src="https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=96"></a></p><div><p><span aria-expanded="false" aria-haspopup="true" role="button" tabindex="0"><span id="follow-author-standard_article_details-dmcyOmF1dGhvclByb2ZpbGU6MTIz"><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><span>Jay Peters</span></span></span></p> <p><span>is a elder newsman covering technology, gaming, and more. He joined The Verge in 2019 following nearly two years at Techmeme.</span></p></div></div></div></div></div><div id="zephr-anchor"><p>Airbnb plans to rotate out an AI delegate in the archetypal fractional of 2027 that volition assistance users scheme and publish travel, the business stated in its Q3 2026 earnings shareholder letter <a href="https://en.mycoding.id/category/technology" target="_blank">released today</a>.</p><p>&ldquo;Today&rsquo;s AI agents are fine at simple, regular tasks, akin making a eatery booking or scheduling an appointment,&rdquo; Airbnb said. &ldquo;But preparedness a trip on Airbnb is different.&rdquo; The business asserted that its cognition matching hosts and guests, its current function in being part of reservations already, and a &ldquo;new interface&rdquo; built &ldquo;specifically for travel&rdquo; gives it an edge.</p><p>Here&rsquo;s how Airbnb says that new interface volition work:</p><div><blockquote><p>We don&rsquo;t think a traditional chatbot is the correct way to scheme a trip. We&rsquo;re evolving a custom-designed, AI-native cognition that builds the interface about your question. Rather than a conversation window, our delegate draws on a archive of hundreds of travel-specific interface elements&mdash;maps, photos, comparisons, calendars, itineraries&mdash;and composes them in genuine period to equivalent what you&rsquo;re looking for. Our delegate volition assistance guests examine options, create decisions alongside the group they&rsquo;re traveling with, and obtain act immediately in Airbnb.</p></blockquote></div><p>Airbnb co-founder and CEO Brian Chesky has stated before that the business plans to initiate an delegate in 2027, telling the Skift Global Forum that it <a href="https://en.mycoding.id/category/technology" target="_blank">would have</a> an interface that&rsquo;s &ldquo;much richer than a chatbot.&rdquo;</p><p>In its shareholder letter, Airbnb additionally stated that AI is &ldquo;the finest item to always happen to Airbnb&rdquo; and has changed how it develops products and operates.</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-dmcyOmF1dGhvclByb2ZpbGU6MTIz"><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>Jay Peters</span></span></span></li><li><li><li><li></ul></div></div></div><div><div><div><div><div><h2>The Verge Daily</h2><p><span>A liberated regular digest of the news that matters most.</span></p></div></div></div></div></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/airbnb-is-working-on-an-ai-travel-agent-75879</guid> <pubDate>Fri, 06 Nov 2026 01:06:12 +0700</pubDate> <author><![CDATA[support@mycoding.id (Jay Peters)]]></author> </item> <item> <title><![CDATA[Inkling 2 Small]]></title> <description><![CDATA[Inkling 2 Small. Comments]]></description> <media:thumbnail url="https://thinkingmachines.ai/news/inkling-2-small/images/cover-social.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/inkling-2-small-75881</link> <content:encoded><![CDATA[<p data-typography="article-body" n="true">Today we are introducing our second example generation alongside Inkling 2 Small. It is a Mixture-of-Experts example alongside 594B total parameters, 17B active, and supports depiction inputs and changeable effort.</p> <p data-typography="article-body" n="true">Inkling 2 Small far surpasses our former models&rsquo; scores on the Artificial Analysis Intelligence Index alongside a mark of 31, reflecting gains in achievement on agentic coding, vision, cognition work, and reasoning. The addition in capabilities comes from improvements made at all stage of our training process, including additional productive pre-training and a large, unified RL run.</p> <p data-typography="article-body" n="true">Inkling 2 Small volition initially be accessible through Tinker, alongside closed weights, following the method we outlined in a <a href="https://en.mycoding.id/category/technology" target="_blank">safe way to open weights</a>. We average to create the complete weights accessible under an Apache 2.0 licence next week following the completion of external safety evaluation and red-teaming.</p> <p data-typography="article-body" n="true">You can try Inkling 2 Small on Tinker Playground today. The example is additionally accessible for fine-tuning and sampling on Tinker; checkpoints volition be downloadable alongside the publish of Inkling 2 Small&rsquo;s weights.</p> <h2 id="capabilities" data-typography="article-heading" n="true">Capabilities</h2> <p data-typography="article-body" n="true">Inkling 2 Small is additional capable throughout the commission than our archetypal generation, particularly in long-horizon autonomous work.</p> <p data-typography="article-body" n="true">Inkling 2 Small&rsquo;s imagination and agentic capabilities allow it to merge ocular feedback to iteratively build and refine websites, games, and 3D designs alongside interactive elements.</p> <div data-tab-panel="city" id="creation-demo-city" rm><figure rm><figcaption rm><span rm="true" data-typography="body-small" n="true">Inkling 2 Small uses Three.js to build a complete city simulator alongside no pre-made assets, generating all building, texture and car procedurally, allowing users to develop a living city from a sole highway during managing power, budgets and emergencies.</span></figcaption><div rm></div></figure></div><div data-tab-panel="linux" id="creation-demo-linux" rm><figure rm><figcaption rm><span rm="true" data-typography="body-small" n="true">A from-scratch PC emulator written in Python. It boots a genuine Linux kernel and provides a web interface that boots a live case in the browser.</span></figcaption><div rm></div></figure></div><div data-tab-panel="cranes" id="creation-demo-cranes" rm><figure rm><figcaption rm><span rm="true" data-typography="body-small" n="true">A hand-drawn vale on plain paper, alongside origami cranes landing on Inkling. Generated alongside Inkling 2 Small in Blender; revised alongside improvements to the h2o and chimney.</span></figcaption><div rm></div></figure></div><div data-tab-panel="map-to-video" id="creation-demo-map-to-video" rm><figure rm><figcaption rm><span rm="true" data-typography="body-small" n="true">A floor-plan walkthrough generated from a map.</span></figcaption><div rm></div></figure></div> <span id="agentic-coding"></span> <h3 id="agentic-coding-and-autoresearch" data-typography="article-subheading" n="true">Agentic coding and autoresearch</h3> <p data-typography="article-body" n="true">Inkling 2 Small was trained alongside RL on hundreds of thousands of long-horizon coding tasks throughout multiple delegate harnesses and context-compaction strategies. We risen the norm of our synthetic coding data pipeline and moved beyond unit-test rewards alone; many tasks included an agentic RL grader that evaluated how the example approached the problem, not fair whether its code passed. We additionally tested first checkpoints of Inkling 2 Small on <a href="https://en.mycoding.id/category/technology" target="_blank">OpenCode</a> under the name Fledge-Alpha to measure our model&rsquo;s achievement on coding tasks in the genuine world.</p> <p data-typography="article-body" n="true">The outcome is a example that is the two stronger at coding and easier to use inner genuine delegate loops. Inkling 2 Small improves on usability compared to Inkling: it follows instructions better, considers changes carefully, and verifies its activity without being asked.</p> <div><div data-eval-table tabindex="0" role="region" aria-label="Coding and Autoresearch"><table aria-label="Coding and Autoresearch" readabilitydatatable="1"><thead></thead><tbody><tr><th scope="row"><span>FrontierCode v2.0</span></th><td>25.4%<span> (Second-highest reported mark in this row)</span></td><td><span>14.2%</span></td><td>28.5%<span> (Highest reported mark in this row)</span></td><td><span>7.6%</span></td><td><span>17.3%</span></td></tr><tr><th scope="row"><span>DeepSWE v1.1</span></th><td>72.1%<span> (Second-highest reported mark in this row)</span></td><td><span>63.4%</span></td><td>77.0%<span> (Highest reported mark in this row)</span></td><td><span>60.0%</span></td><td><span>68.5%</span></td></tr><tr><th scope="row"><span>SWEBench Pro v2 (Hard)</span></th><td>86.3%<span> (Second-highest reported mark in this row)</span></td><td><span>&ndash;</span></td><td><span>&ndash;</span></td><td><span>82.4%</span></td><td>88.2%<span> (Highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>Vibe Code Bench v1.1</span></th><td><span>81.6%</span></td><td><span>30.8%</span></td><td>87.7%<span> (Highest reported mark in this row)</span></td><td><span>76.2%</span></td><td>85.0%<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>PostTrainBench v1.2</span></th><td>31.9%<span> (Second-highest reported mark in this row)</span></td><td>36.8%<span> (Highest reported mark in this row)</span></td><td><span>30.5%</span></td><td><span>&ndash;</span></td><td><span>31.5%</span></td></tr><tr><th scope="row"><span>Terminal Bench Science v0.1</span></th><td><span>5.7%</span></td><td><span>4.8%</span></td><td>12.9%<span> (Highest reported mark in this row)</span></td><td><span>1.9%</span></td><td>8.1%<span> (Second-highest reported mark in this row)</span></td></tr></tbody></table></div></div> <figure id="pmpp-hard" lsr><div data-astro-cid-sjznsaxl><p data-astro-cid-sjznsaxl>Kernel optimization (PMPP-Hard)</p><p data-astro-cid-sjznsaxl>69 tasks &middot; Four autonomous attempts &middot; 10-hour budget</p></div><div data-owned-figure data-reveal="draw" data-palette="default" data-line-weight="normal" data-y-label-orientation="responsive" data-responsive data-inspect-steps='&quot;Mean tasks solved / 69&quot;,&quot;min&quot;:0,&quot;max&quot;:69,&quot;tickStep&quot;:10,&quot;ticks&quot;:[0,10,20,30,40,50,60,69],&quot;format&quot;:&quot;number&quot;},&quot;bounds&quot;:{&quot;x0&quot;:84,&quot;x1&quot;:776,&quot;y0&quot;:90,&quot;y1&quot;:425},&quot;series&quot;:[{&quot;name&quot;:&quot;GPT-6 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role="img" aria-label=" 42 average tasks solved, AUC 389.12 task-hours." ace><div ace><p><span data-series="0" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>GPT-6 Astra</span><span ace>63</span></span><span data-series="1" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>Kimi K3.1 Pro</span><span ace>60.5</span></span><span data-series="2" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>Claude Opus 5.5</span><span ace>60</span></span><span data-series="3" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>Kimi K3</span><span ace>55.75</span></span><span data-series="4" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>DeepSeek V4.1 Flash</span><span ace>55.25</span></span><span data-series="5" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>Inkling 2 Small</span><span ace>54.25</span></span><span data-series="6" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>GLM 5.3</span><span ace>52.5</span></span><span data-series="7" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>Mistral Large 4</span><span ace>50.25</span></span><span data-series="8" ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>GLM 5.2</span><span ace>42</span></span></p><p aria-hidden="true" ace>Mean tasks solved / 69</p><svg viewbox="0 74 800 441" aria-hidden="true" focusable="false" ace>0102030405060690h2h4h6h8h10hMean tasks solved / 69Elapsed period (hours)<path data-chartscatter-series="GPT-6 Astra" data-series="0" d="M 84 425 L 86.3 425 L 86.3 423.8 L 86.3 423.8 L 86.3 422.6 L 86.4 422.6 L 86.4 421.4 L 86.6 421.4 L 86.6 420.1 L 86.7 420.1 L 86.7 418.9 L 86.7 418.9 L 86.7 417.7 L 86.7 417.7 L 86.7 416.5 L 86.7 416.5 L 86.7 415.3 L 86.9 415.3 L 86.9 414.1 L 87 414.1 L 87 412.9 L 87 412.9 L 87 411.6 L 87 411.6 L 87 410.4 L 87 410.4 L 87 409.2 L 87.1 409.2 L 87.1 408 L 87.1 408 L 87.1 406.8 L 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240.5 L 180.7 240.5 L 180.7 239.3 L 180.7 239.3 L 180.7 238.1 L 191.2 238.1 L 191.2 236.9 L 192.2 236.9 L 192.2 235.7 L 196.8 235.7 L 196.8 234.4 L 199.1 234.4 L 199.1 233.2 L 206.9 233.2 L 206.9 232 L 213.5 232 L 213.5 230.8 L 218.8 230.8 L 218.8 229.6 L 279.6 229.6 L 279.6 228.4 L 281.8 228.4 L 281.8 227.2 L 286.5 227.2 L 286.5 225.9 L 296.8 225.9 L 296.8 224.7 L 300.7 224.7 L 300.7 223.5 L 327.6 223.5 L 327.6 222.3 L 334.3 222.3 L 334.3 221.1 L 776 221.1 L 776 221.1" ace></path></svg></div></div>View complete results<p lsr>Rows are ordered by AUC: the area under the average curve complete 0&ndash;10 hours, alongside a maximum of 690 task-hours.</p><p lsr>Each example uses its maximum accessible reasoning setting, the PI harness and a shared compaction policy. We contain fixes for project and grading issues identified during evaluation. Each submitted resolution receives two autonomous LLM audits, alongside a third assessment resolving disagreements.</p><figcaption lsr><a href="https://en.mycoding.id/category/technology" target="_blank" lsr>PMPP-Hard</a> is an external GPU kernel-optimization benchmark, adapted current for accordant cross-model evaluation. Curves display the average throughout four autonomous attempts; fable values are average tasks solved at 10 hours.</figcaption></figure> <p data-typography="article-body" n="true">Beyond accepted application tasks, Inkling 2 Small was additionally trained on long-horizon autoresearch tasks. This included agentic GPU kernel optimization and ML tasks specified as post-training a example autonomously, all run throughout a range of GPU architectures.</p> <figure id="kernel-optimization"><div data-astro-cid-sjznsaxl><p data-astro-cid-sjznsaxl>Preliminary kernel autoresearch results</p><p data-astro-cid-sjznsaxl>DeepSeek-V3.2 sparse attention, onward + backward</p></div><div data-owned-figure data-reveal="draw" data-palette="default" data-line-weight="normal" data-y-label-orientation="responsive" data-responsive role="img" aria-label=" 3.43× at 5.498 hours. These are kernel-only speedups, not end-to-end training gains; numerical correctness is tolerance-checked, not bit-exact." ace><div ace><p><span ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>Claude Opus 5.5 &middot; 18.80&times;</span></span><span ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>GPT-6 Astra &middot; 10.26&times;</span></span><span ace><svg viewbox="-10 -10 20 20" focusable="false" ace></svg><span ace>Inkling 2 Small &middot; 6.02&times;</span></span><span ace><svg viewbox="-10 -10 20 20" focusable="false" ace><path d="M 0 -8 L 7.608 -2.472 L 4.702 6.472 L -4.702 6.472 L -7.608 -2.472 Z" ace="true"></path></svg><span ace>DeepSeek V4.1 Flash &middot; 5.66&times;</span></span><span ace><svg viewbox="-10 -10 20 20" focusable="false" ace><path d="M 0 -8 L 7.5 6 L -7.5 6 Z" ace="true"></path></svg><span ace>GLM 5.3 &middot; 5.03&times;</span></span><span ace><svg viewbox="-10 -10 20 20" focusable="false" ace><path d="M 0 -8 L 6.255 -4.988 L 7.799 1.78 L 3.471 7.208 L -3.471 7.208 L -7.799 1.78 L -6.255 -4.988 Z" ace="true"></path></svg><span ace>Mistral Large 4 &middot; 3.43&times;</span></span></p><p aria-hidden="true" ace>Speedup complete the first (&times;)</p><svg viewbox="0 74 800 441" aria-hidden="true" focusable="false" ace>151015200h2h4h6h8h10hSpeedup complete the first (&times;)Hours into the session<path data-chartscatter-series="Claude Opus 5.5" d="M 84 425 L 131.8 425 L 131.8 402.5 L 162 402.5 L 162 398.7 L 235.7 398.7 L 235.7 203 L 311.6 203 L 311.6 158.2 L 396 158.2 L 396 130.9 L 498.3 130.9 L 498.3 122.5 L 557.6 122.5 L 557.6 114.5 L 604 114.5 L 604 113 L 642.8 113 L 642.8 111.4 L 698.1 111.4 L 698.1 111.1" ace></path><path data-chartscatter-series="GPT-6 Astra" d="M 84 425 L 106.2 425 L 106.2 412.8 L 109 412.8 L 109 380.5 L 120.8 380.5 L 120.8 339.7 L 138.6 339.7 L 138.6 320.2 L 150.7 320.2 L 150.7 311.3 L 158.8 311.3 L 158.8 301.6 L 168 301.6 L 168 288.3 L 176.4 288.3 L 176.4 276.5 L 186.3 276.5 L 186.3 275.8 L 190.9 275.8 L 190.9 272 L 207 272 L 207 264.1 L 213.9 264.1 L 213.9 262.3 L 339.5 262.3 L 339.5 261.6" ace></path><path data-chartscatter-series="Inkling 2 Small" d="M 84 425 L 138 425 L 138 405.1 L 165.4 405.1 L 165.4 377.2 L 219.9 377.2 L 219.9 360.3 L 245 360.3 L 245 355.5 L 262.4 355.5 L 262.4 354.4 L 282.2 354.4 L 282.2 354.2 L 297.1 354.2 L 297.1 352.1 L 325.4 352.1 L 325.4 350.2 L 349.6 350.2 L 349.6 344.8 L 380.1 344.8 L 380.1 339.3 L 397.2 339.3 L 397.2 337.5 L 409.8 337.5 L 409.8 337.4 L 430.4 337.4 L 430.4 337 L 443.5 337 L 443.5 336.4 L 498.4 336.4 L 498.4 336.4" ace></path><path data-chartscatter-series="DeepSeek V4.1 Flash" d="M 84 425 L 200.5 425 L 200.5 350.7 L 227.4 350.7 L 227.4 350.5 L 251.1 350.5 L 251.1 350.5 L 275.3 350.5 L 275.3 342.9 L 275.3 342.9 L 275.3 342.9" ace></path><path data-chartscatter-series="GLM 5.3" d="M 84 425 L 215.8 425 L 215.8 405.7 L 367 405.7 L 367 401.9 L 381.5 401.9 L 381.5 383.5 L 426 383.5 L 426 366.2 L 464.8 366.2 L 464.8 354.5 L 562.9 354.5 L 562.9 354" ace></path><path data-chartscatter-series="Mistral Large 4" d="M 84 425 L 464.5 425 L 464.5 382.2" ace></path><path d="M 275.3 334.9 L 282.908 340.428 L 280.002 349.372 L 270.598 349.372 L 267.692 340.428 Z" ace="true"></path><path d="M 562.9 346 L 570.4 360 L 555.4 360 Z" ace="true"></path><path d="M 464.5 374.2 L 470.755 377.212 L 472.299 383.98 L 467.971 389.408 L 461.029 389.408 L 456.701 383.98 L 458.245 377.212 Z" ace="true"></path></svg></div></div><figcaption>DeepSeek Sparse Attention lets all query act lone to the top-k before tokens chosen by a lightweight indexer, so long-context disbursal no longer grows alongside the quadrate of the context. Starting from the community TileLang kernels, create the training kernels faster during keeping their error near to the original's (tight tolerances), alongside no period limit. The benchmark covers multiple example sizes in distinct regimes, from packed pretraining sequences to long-context training. The community TileLang baseline is not tuned for B300, which leaves roomy headroom on these workloads to measure all model's optimization capability and perseverance. Speedups are for these kernels alone, not end-to-end training.</figcaption></figure> <p data-typography="article-body" n="true">To display its end-to-end autoresearch performance, we tested Inkling 2 Small on a project <a href="https://en.mycoding.id/category/technology" target="_blank">Proximal</a> built for one of our inner benchmarks. Inkling 2 Small autonomously trained Qwen3.5-4B on Tinker to foretell assorted period sequence specified as climate and Wikipedia leaf views. It started by analyzing the tasks and penning its own evaluator, experimented alongside training datasets and recipes, and tried assorted approaches to SFT and RL, during debugging the procedure as it goes. After 4.5 hours of activity and $426 in Tinker spend, the trained example has additional than doubled its forecasting score.</p> <figure id="tinkerbench-demo" data-toc-collision aria-label=" Inkling 2 Small trains a forecasting model" data-tinkerbench-replay><div><div><p><span>inkling-2-small@tinker: time-series-forecasting</span></p><div><div data-minute="0"><p>We desire Qwen/Qwen3.5-4B to forecast period series. The example gets a window, the latest former of one sequence as text, and writes the values of the next steps. It is sampled multiple times for all window. The median of its forecasts have to be near to what happens, and their dispersed should equivalent how uncertain it is. [...] Train a LoRA of Qwen/Qwen3.5-4B alongside Tinker. [...] You have 12 hours and a Tinker prosperity of 500 USD.</p></div><div data-minute="0"><p><span></span><strong>Bash</strong><span data-type="cmd">ls /app /data &amp;&amp; cat /data/README.md</span></p><p>/app: examples.jsonl forecast &hellip; (25 additional lines)</p></div><div data-minute="0.11"><p><span></span><strong>Bash</strong><span data-type="cmd">tinker-usage 2&gt;&amp;1 | caput -20; echo ---; tinker-usage --prices 2&gt;&amp;1 | caput -40</span></p><p>time 0 h 0 min of 12 h (11 h 59 min left)</p></div><div data-minute="3.02"><p>Now let me appearance at how sampling plant alongside Tinker:</p></div><p><span>~/tinkerbench/time-series-forecasting/</span><span data-replay-clock>0h 00m into the run</span></p></div></div><div data-replay-panel><p><b>Forecasts on its evaluation examples</b><span data-replay-model>Qwen3.5-4B (base)</span></p><div><div><p><b>electricity</b><span data-replay-ratio="0"></span></p><p>US Southwest grid &middot; demand</p><svg viewbox="0 0 200 56" data-replay-tile="0" aria-hidden="true" focusable="false"></svg></div><div><p><b>wind &amp; solar</b><span data-replay-ratio="1"></span></p><p>New York grid &middot; breeze power</p><svg viewbox="0 0 200 56" data-replay-tile="1" aria-hidden="true" focusable="false"></svg></div><div><p><b>air quality</b><span data-replay-ratio="2"></span></p><p>Winnipeg &middot; PM2.5</p><svg viewbox="0 0 200 56" data-replay-tile="2" aria-hidden="true" focusable="false"></svg></div><div><p><b>page views</b><span data-replay-ratio="3"></span></p><p>Wikipedia &middot; &ldquo;Valhalla&rdquo;</p><svg viewbox="0 0 200 56" data-replay-tile="3" aria-hidden="true" focusable="false"></svg></div></div><div><p><span><span></span>observed</span><span><span></span>model's forecast</span></p><svg width="14" height="14" viewbox="0 0 16 16" fill="none" aria-hidden="true" focusable="false" data-thinky-icon="i-circle" data-thinky-variant="mixed"><path d="M15.6 8Q15.6 9.5117 15.0215 10.9084Q14.443 12.3051 13.374 13.374Q12.3051 14.443 10.9084 15.0215Q9.5117 15.6 8 15.6Q6.4883 15.6 5.0916 15.0215Q3.6949 14.443 2.626 13.374Q1.557 12.3051 0.9785 10.9084Q0.4 9.5117 0.4 8Q0.4 6.4883 0.9785 5.0916Q1.557 3.6949 2.626 2.626Q3.6949 1.557 5.0916 0.9785Q6.4883 0.4 8 0.4Q9.5117 0.4 10.9084 0.9785Q12.3051 1.557 13.374 2.626Q14.443 3.6949 15.0215 5.0916Q15.6 6.4883 15.6 8ZM14.4 8Q14.4 6.727 13.9128 5.5508Q13.4257 4.3747 12.5255 3.4745Q11.6253 2.5743 10.4492 2.0872Q9.273 1.6 8 1.6Q6.727 1.6 5.5508 2.0872Q4.3747 2.5743 3.4745 3.4745Q2.5743 4.3747 2.0872 5.5508Q1.6 6.727 1.6 8Q1.6 9.273 2.0872 10.4492Q2.5743 11.6253 3.4745 12.5255Q4.3747 13.4257 5.5508 13.9128Q6.727 14.4 8 14.4Q9.273 14.4 10.4492 13.9128Q11.6253 13.4257 12.5255 12.5255Q13.4257 11.6253 13.9128 10.4492Q14.4 9.273 14.4 8ZM8.8996 4.6001L8.8996 6.4001L7.0996 6.4001L7.0996 4.6001ZM8.6 8.15L8.6 11.6L7.4 11.6L7.4 9.35L6.4 9.35L6.4 8.15Z" fill="currentColor"></path></svg><span>"Less error" is compared alongside merely copying the final values forward.</span></div><p><b>Evaluation scores (% small error than copying)</b><span>100 examples</span></p><svg viewbox="0 0 440 126" data-replay-scores role="img" aria-label=" basis 10%, SFT 4 23%."></svg><p><span data-replay-spend>$0.00</span>Tinker spend, of $500</p><p>Data: U.S. Energy Information Administration (EIA-930); climate and air norm data by Open-Meteo.com (CC BY 4.0), containing modified Copernicus Climate Change Service and Copernicus Atmosphere Monitoring Service data 2026; Wikimedia pageviews (CC0).</p></div></div><div role="group" aria-label="Replay playback controls"><div role="group" aria-label="Replay playback controls" wued></div></div><figcaption aria-live="polite"><span data-story-caption><span>Start.</span> Inkling 2 Small says the project and the stated raw data, covering years of hourly and regular former from five sources: power demand, breeze and sun-related power, weather, air norm and Wikipedia leaf views.</span></figcaption></figure> <h3 id="vision-interpretation-and-creation" data-typography="article-subheading" n="true">Vision explanation and creation</h3> <p data-typography="article-body" n="true">Inkling 2 Small processes depiction inputs using a 292M-parameter imagination encoder according to Perception Encoder<span><a href="https://en.mycoding.id/category/technology" target="_blank">Bolya et al., 2025</a>.</span>. We use 20&times;20-pixel patches alongside 2&times;2 spatial pooling, and interleave depiction patches alongside content tokens. The example demonstrates powerful ocular capabilities throughout multiple categories, including OCR, grounding, infographic interpretation, and ocular reasoning.</p> <div><div data-eval-table tabindex="0" role="region" aria-label="Visual reasoning and creation"><table aria-label="Visual reasoning and creation" readabilitydatatable="1"><thead></thead><tbody><tr><th scope="row"><span>GDP.pdf</span></th><td>25.2%<span> (Highest reported mark in this row)</span></td><td><span>15.4%</span></td><td><span>17.2%</span></td><td><span>18.6%</span></td><td>22.0%<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>MMMU Pro (Standard 10)</span></th><td>81.6%<span> (Highest reported mark in this row)</span></td><td><span>79.0%</span></td><td><span>80.6%</span></td><td>80.9%<span> (Second-highest reported mark in this row)</span></td><td><span>80.5%</span></td></tr><tr><th scope="row"><span>PerceptionBench</span></th><td>64.7%<span> (Highest reported mark in this row)</span></td><td><span>&ndash;</span></td><td><span>47.7%</span></td><td><span>&ndash;</span></td><td>58.5%<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>Humanity&rsquo;s Sixth Sense</span></th><td>33.3%<span> (Highest reported mark in this row)</span></td><td><span>26.8%</span></td><td>30.1%<span> (Second-highest reported mark in this row)</span></td><td><span>29.6%</span></td><td><span>25.5%</span></td></tr><tr><th scope="row"><span>ScreenSpot Pro</span><span>original / alongside Python</span></th><td>83.8/91.5%<span> (Highest reported mark in this row)</span></td><td><span>&ndash;</span></td><td><span>&ndash;</span></td><td><span>&ndash;</span></td><td>73.8/83.2%<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>BabyVision</span><span>original / alongside Python</span></th><td>68.6/93.7%<span> (Highest reported mark in this row)</span></td><td>53.4/82.6%<span> (Second-highest reported mark in this row)</span></td><td><span>&ndash;/92.5%</span></td><td><span>44.3/80.2%</span></td><td>53.4/85.7%<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>Charxiv RQ</span><span>original / alongside Python</span></th><td>85.6/87.7%<span> (Highest reported mark in this row)</span></td><td><span>80.2/89.4%</span></td><td><span>77.0/85.6%</span></td><td>85.4/88.7%<span> (Second-highest reported mark in this row)</span></td><td><span>84.8/91.3%</span></td></tr><tr><th scope="row"><span>Chartography</span><span>original / alongside Python</span></th><td>36.7/80.4%<span> (Highest reported mark in this row)</span></td><td><span>16.3/78.0%</span></td><td><span>17.9/83.0%</span></td><td>35.7/63.2%<span> (Second-highest reported mark in this row)</span></td><td><span>26.6/68.1%</span></td></tr><tr><th scope="row"><span>Code Arena (WebDev)</span></th><td><span>1653</span></td><td><span>1607</span></td><td>1665<span> (Highest reported mark in this row)</span></td><td><span>&ndash;</span></td><td>1656<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>AA-3D</span></th><td>1021<span> (Highest reported mark in this row)</span></td><td><span>937</span></td><td><span>&ndash;</span></td><td><span>&ndash;</span></td><td>982<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>Code2Video-AA</span></th><td>1020<span> (Second-highest reported mark in this row)</span></td><td><span>975</span></td><td><span>&ndash;</span></td><td><span>&ndash;</span></td><td>1041<span> (Highest reported mark in this row)</span></td></tr></tbody></table></div></div> <p data-typography="article-body" n="true">The example uses imagination in the iteration to construe and validate the ocular coding output it generates. Pending the publish of its weights, it is set to be the top open-weights example on <a href="https://en.mycoding.id/category/technology" target="_blank">DesignArena</a>.</p> <figure id="design-arena"><div wol><p data-astro-cid-sjznsaxl>DesignArena Website score</p><div role="img" aria-label=" 1296." wol><div aria-hidden="true" wol><div wol><p><span wol>1,366</span></p></div><div wol><p><span wol>1,351</span></p></div><div wol><p><span wol>1,340</span></p></div><div wol><p><span wol>1,333</span></p></div><div wol><p><span wol>1,328</span></p></div><div wol><p><span wol>1,321</span></p></div><div wol><p><span wol>1,320</span></p></div><div wol><p><span wol>1,314</span></p></div><div wol><p><span wol>1,312</span></p></div><div wol><p><span wol>1,309</span></p></div><div wol><p><span wol>1,303</span></p></div><div wol><p><span wol>1,303</span></p></div><div wol><p><span wol>1,296</span></p></div></div></div></div><figcaption>DesignArena Website leaderboard. Scores from the November 5 leaderboard snapshot; the blue bar identifies Inkling 2 Small. The difference includes the top ten models and three additional open-weights models. Bars commencement at 1,100, not zero. <a href="https://en.mycoding.id/category/technology" target="_blank">View on DesignArena</a>.</figcaption></figure> <p data-typography="article-body" n="true">We equal tested Inkling 2 Small against several of our researchers in a vino tasting event. It outperformed them using imagination alone, correctly identifying three wines from a sole image in 19 out of 20 trials.</p> <figure id="wine-tasting-example" cruuu><div cruuu><p><img src="https://thinkingmachines.ai/_astro/wine-tasting-three-glasses.aWBtNGl4_Z22jTBE.webp" srcset="/_astro/wine-tasting-three-glasses.aWBtNGl4_ZCg1Yt.webp 400w, /_astro/wine-tasting-three-glasses.aWBtNGl4_1bFy3P.webp 660w, /_astro/wine-tasting-three-glasses.aWBtNGl4_1ivKwy.webp 1000w, /_astro/wine-tasting-three-glasses.aWBtNGl4_Z22jTBE.webp 1320w" sizes=" 705px) 660px, calc(100vw - 2.6rem)" alt="Three glasses of red vino on a eatery table, in the left-to-right command used in the example response." cruuu="true" loading="lazy" decoding="async" width="1000" height="750"></p><div cruuu><p cruuu><strong cruuu>Prompt:</strong> you&rsquo;re in a blind vino tasting competition. glasses are tagged 1 to 3 from remaining to right. varietals: 99 cab sauv, 19 cab sauv, 23 nebbiolo</p><p cruuu><strong cruuu>Inkling 2 Small:</strong> Here&rsquo;s my peruse &mdash; alongside the big caveat up forefront that color from a phone photo under heated eatery lighting is shaky evidence, so treat this as an informed guess, not a verdict.</p><p cruuu><strong cruuu>My guess:<br cruuu>Glass 1 = 2019 Cabernet Sauvignon<br cruuu>Glass 2 = 1999 Cabernet Sauvignon<br cruuu>Glass 3 = 2023 Nebbiolo</strong></p><span data-astro-cid-ekguhzzh="true" data-typography="body-legacy" n="true"><span cruuu>Continue reading</span><span cruuu>Show less</span></span><p cruuu>Why:</p><ul cruuu><li cruuu><strong cruuu>Glass 3 (right) is by far the lightest and most translucent</strong> &mdash; bright, cherry-red, you can see ray through the bowl. Nebbiolo is famously faint for a red, equal whenever young, so 2023 nebbiolo is the finest fit. A 1999 cab would apt display additional brick/orange/tawny at the rim, and this one says additional vivid ruby-garnet.</li><li cruuu><strong cruuu>Glass 1 (left) is the darkest and most opaque,</strong> nearly purple-black at its core. That&rsquo;s the 2019 cab &mdash; seven years in, Cabernet motionless holds compact color alongside chief fruit.</li><li cruuu><strong cruuu>Glass 2 (middle) sits between the two:</strong> motionless dark, but a shade small impenetrable than pane 1 and a bit additional muted/garnet. A 25+-year-old cab, assuming decent storage, should have dropped several of its purple and opacity but not turned completely brick, so it lands here.</li></ul><p cruuu>The honest feeble points in that guess: lighting is uneven (the remaining pane sits in the dimmer area near the hearth, which exaggerates its darkness), and a well-stored 1999 can beverage much darker than it looks on camera. Hue differences, not depth, would be the genuine inform &mdash; if pane 2 shows orange/brown at the rim versus pane 1&rsquo;s purple-red edge, that confirms it.</p><p cruuu>Fast sensory tie-breakers whenever you really taste:</p><ul cruuu><li cruuu><strong cruuu>1999 cab:</strong> tertiary &mdash; leather, tobacco, dried cassis, timber floor, cedar; tannins resolved and silky; create completely softened, perchance a contact of faded fruit.</li><li cruuu><strong cruuu>2019 cab:</strong> blackcurrant/graphite/cedar, motionless resolute organized tannins, fresher fruit, additional oak presence.</li><li cruuu><strong cruuu>2023 nebbiolo:</strong> faint garnet but fierce acidic and grippy, drying tannins; red cherry, rose/violet, dried herbs, a tarry note &mdash; the traditional &ldquo;white-wine color, marathon-runner mouthfeel&rdquo; giveaway.</li></ul><p cruuu>If the spill in pane 3 is faint but your mouth feels sanded downward by tannins, that&rsquo;s the slam-dunk nebbiolo confirmation; if it is gentle and plush, flip pane 3 and pane 2. Good fortune in the competition &mdash; study rear alongside the disclose if you get it.</p></div></div><figcaption cruuu>Wine-tasting photo, shown as the example saw it, and the model&rsquo;s response.</figcaption></figure> <h3 id="agentic-knowledge-work" data-typography="article-subheading" n="true">Agentic cognition work</h3> <p data-typography="article-body" n="true">Inkling 2 Small accelerates cognition activity in realistic expert environments. It proficiently looks up information, calls tools complete MCP, and produces high-quality deliverables. On AA-Briefcase, an end-to-end cognition activity benchmark, these capabilities arrive together for an ELO mark of 1527.</p> <div><div data-eval-table tabindex="0" role="region" aria-label="Knowledge Work and Enterprise Ops"><table aria-label="Knowledge Work and Enterprise Ops" readabilitydatatable="1"><thead></thead><tbody><tr><th scope="row"><span>AA-Briefcase v1.1</span></th><td>1527<span> (Second-highest reported mark in this row)</span></td><td><span>1451</span></td><td><span>1279</span></td><td>1570<span> (Highest reported mark in this row)</span></td><td><span>1497</span></td></tr><tr><th scope="row"><span>GDPVal-AA v2.1</span></th><td><span>1630</span></td><td>1649<span> (Second-highest reported mark in this row)</span></td><td><span>1401</span></td><td>1746<span> (Highest reported mark in this row)</span></td><td><span>1543</span></td></tr><tr><th scope="row"><span>JobBench</span></th><td>70.5%<span> (Highest reported mark in this row)</span></td><td><span>60.7%</span></td><td>61.8%<span> (Second-highest reported mark in this row)</span></td><td><span>&ndash;</span></td><td><span>54.3%</span></td></tr><tr><th scope="row"><span>Vals Legal Index</span></th><td>73.9%<span> (Highest reported mark in this row)</span></td><td><span>71.1%</span></td><td><span>68.5%</span></td><td>71.9%<span> (Second-highest reported mark in this row)</span></td><td><span>71.7%</span></td></tr><tr><th scope="row"><span>EnterpriseBench-CoreCraft</span></th><td>71.8%<span> (Highest reported mark in this row)</span></td><td>46.7%<span> (Second-highest reported mark in this row)</span></td><td><span>&ndash;</span></td><td><span>&ndash;</span></td><td><span>43.1%</span></td></tr></tbody></table></div></div> <p data-typography="article-body" n="true">Inkling 2 Small is particularly powerful in backing and quantitative reasoning complete spreadsheets, filings and documents. Among open importance models, Inkling 2 Small is the finest performing example throughout multiple backing benchmarks.</p> <div><div data-eval-table tabindex="0" role="region" aria-label="Finance Work"><table aria-label="Finance Work" readabilitydatatable="1"><thead></thead><tbody><tr><th scope="row"><span>Vals Finance Index</span></th><td>61.5%<span> (Highest reported mark in this row)</span></td><td><span>55.8%</span></td><td><span>53.0%</span></td><td>60.9%<span> (Second-highest reported mark in this row)</span></td><td><span>58.0%</span></td></tr><tr><th scope="row"><span>Diligence Bench</span><span>Best harness</span></th><td>58.1%<span> (Second-highest reported mark in this row)</span></td><td><span>&ndash;</span></td><td>59.0%<span> (Highest reported mark in this row)</span></td><td><span>50.4%</span></td><td><span>&ndash;</span></td></tr><tr><th scope="row"><span>DAYJOB (Finance)</span></th><td>14.3%<span> (Highest reported mark in this row)</span></td><td><span>7.3%</span></td><td><span>&ndash;</span></td><td>12.5%<span> (Second-highest reported mark in this row)</span></td><td><span>5.5%</span></td></tr><tr><th scope="row"><span>Apex-Accounting v1.1</span><span>pass@1</span></th><td>14.5%<span> (Highest reported mark in this row)</span></td><td><span>12.3%</span></td><td>13.8%<span> (Second-highest reported mark in this row)</span></td><td><span>12.5%</span></td><td><span>9.5%</span></td></tr></tbody></table></div></div> <span id="customizable-intelligence-with-tinker"></span> <h3 id="customizability" data-typography="article-subheading" n="true">Customizability</h3> <p data-typography="article-body" n="true">Some models react improved to fine-tuning, autonomous of their out-of-the-box performance. We wanted Inkling 2 Small to be a powerful basis example for customization.</p> <p data-typography="article-body" n="true">Inkling 2 Small learns faster and improves additional than our former models whenever trained on the identical data and algorithm throughout a assortment of post-training scenarios, which we curated according to client use cases. For example, starting from likewise low scores on a community financial-document summarization task, Inkling 2 Small adapts quickly, reaching the final achievement of Inkling Small alongside fair 75 training steps and finishing substantially ahead.</p> <div data-astro-cid-ajsxesfv><figure id="financial-document-finetunability" data-astro-cid-ajsxesfv><div data-astro-cid-ajsxesfv><p data-astro-cid-sjznsaxl>Evaluating Model Finetunability</p></div><div data-astro-cid-ajsxesfv><div data-astro-cid-ajsxesfv><div data-owned-figure data-reveal="draw" data-palette="primary" data-line-weight="bold" data-y-label-orientation="vertical" data-responsive role="img" aria-label=" stage 0, reward 0.2572; stage 25, reward 0.3493; stage 50, reward 0.4197; stage 75, reward 0.5624; stage 100, reward 0.6080; stage 125, reward 0.6814; stage 150, reward 0.6910; stage 175, reward 0.6152; stage 200, reward 0.7338." ace><div ace><svg viewbox="0 74 800 441" aria-hidden="true" focusable="false" ace>00.20.40.60.8102550100200Held-out rubric rewardTraining Steps<path data-chartscatter-series="Inkling 2 Small" d="M 84 314.2 L 308.7 282.3 L 464.5 223.7 L 555.6 145.4 L 620.2 134.8 L 670.4 126.7 L 711.4 122.8 L 746 120 L 776 110.1" ace></path><path data-chartscatter-series="Inkling-Small" d="M 84 325.9 L 308.7 316.4 L 464.5 294.5 L 555.6 273.2 L 620.2 242 L 670.4 208.8 L 711.4 187.9 L 746 174.5 L 776 159.6" ace></path><path data-chartscatter-series="Inkling" d="M 84 321.2 L 308.7 308.6 L 464.5 278.8 L 555.6 224.2 L 620.2 187.9 L 670.4 169.2 L 711.4 164.2 L 746 153.5 L 776 150.2" ace></path><path data-chartscatter-series="GLM 5.3 Flash" d="M 84 315 L 308.7 280.2 L 464.5 225.3 L 555.6 181.1 L 620.2 179.2 L 670.4 161.3 L 711.4 160.2 L 746 154.4 L 776 146.6" ace></path><path data-chartscatter-series="DeepSeek V4.1 Flash 1017" d="M 84 322.7 L 308.7 259.8 L 464.5 237.5 L 555.6 185.7 L 620.2 160.4 L 670.4 160.6 L 711.4 166.3 L 746 147.5 L 776 141.7" ace></path><path data-chartscatter-series="Qwen 3.5 397B" d="M 84 338.8 L 308.7 308 L 464.5 284.4 L 555.6 236.6 L 620.2 221.3 L 670.4 196.7 L 711.4 193.5 L 746 218.9 L 776 179.2" ace></path></svg></div></div></div><div data-astro-cid-ajsxesfv><div data-owned-figure data-reveal="draw" data-palette="primary" data-line-weight="bold" data-y-label-orientation="vertical" data-responsive role="img" aria-label=" $0.00, reward 0.2572; $1,128.13, reward 0.3493; $2,086.98, reward 0.4197; $3,123.11, reward 0.5624; $4,138.93, reward 0.6080; $5,237.54, reward 0.6814; $6,454.57, reward 0.6910; $7,742.11, reward 0.6152; $8,904.39, reward 0.7338." ace><div ace><svg viewbox="0 74 800 441" aria-hidden="true" focusable="false" ace>00.20.40.60.81$0$500$2,000$8,000Held-out rubric rewardEstimated Training Cost<path data-chartscatter-series="Inkling 2 Small" d="M 84 314.2 L 238.4 282.3 L 336.8 223.7 L 393.1 145.4 L 438.3 134.8 L 473.9 126.7 L 499.7 122.8 L 522.6 120 L 542.5 110.1" ace></path><path data-chartscatter-series="Inkling-Small" d="M 84 325.9 L 248.6 316.4 L 360.5 294.5 L 419.4 273.2 L 459 242 L 494.7 208.8 L 520.1 187.9 L 543.2 174.5 L 563.7 159.6" ace></path><path data-chartscatter-series="Inkling" d="M 84 321.2 L 425.9 308.6 L 529.3 278.8 L 588.6 224.2 L 627.7 187.9 L 662.7 169.2 L 689.5 164.2 L 711.2 153.5 L 731.4 150.2" ace></path><path data-chartscatter-series="GLM 5.3 Flash" d="M 84 315 L 273.2 280.2 L 387.8 225.3 L 457.8 181.1 L 503.7 179.2 L 541.7 161.3 L 570.2 160.2 L 594.3 154.4 L 617 146.6" ace></path><path data-chartscatter-series="DeepSeek V4.1 Flash 1017" d="M 84 322.7 L 295 259.8 L 404.4 237.5 L 457.5 185.7 L 498.3 160.4 L 544.1 160.6 L 569.6 166.3 L 591.5 147.5 L 613 141.7" ace></path><path data-chartscatter-series="Qwen 3.5 397B" d="M 84 338.8 L 462.5 308 L 555.3 284.4 L 616.2 236.6 L 658.7 221.3 L 694.3 196.7 L 725.8 193.5 L 753.3 218.9 L 774.4 179.2" ace></path></svg></div></div></div></div><figcaption data-astro-cid-ajsxesfv>Inkling 2 Small learns faster and finishes at higher achievement than our former models, and is rivalrous alongside another OSS models of akin size in an RL fine-tuning setting. We used community earnings call data to create a project of funding inspection alongside expert judgement, akin to the category of <a href="https://en.mycoding.id/category/technology" target="_blank" data-astro-cid-ajsxesfv>financial inspection workloads our customers use tinker for</a> training tradition models. To justify a fair comparison, we ran a learning charge clear for all model; all models were trained on Tinker alongside <a href="https://en.mycoding.id/category/technology" target="_blank" data-astro-cid-ajsxesfv>Tinker Cookbook</a> abstractions using our <a href="https://en.mycoding.id/category/technology" target="_blank" data-astro-cid-ajsxesfv>Async RL implementation</a> alongside the <a href="https://en.mycoding.id/category/technology" target="_blank" data-astro-cid-ajsxesfv>Stable Reinforce</a> loss, complete 200 steps. Results for the Inkling models are averaged complete 3 seeds; the another models use sole runs. Costs are estimated by multiplying the figure of sampling and training tokens alongside current <a href="https://en.mycoding.id/category/technology" target="_blank" data-astro-cid-ajsxesfv>tinker per-token pricing</a>; for sampling, we assume prefix cache hits inside rollouts among the identical group.</figcaption></figure></div> <h3 id="reasoning-knowledge-and-epistemics" data-typography="article-subheading" n="true">Reasoning, knowledge, and epistemics</h3> <p data-typography="article-body" n="true">Inkling 2 Small is trained on challenging STEM problems, education following, data seeking alongside and without web search, and forecasting tasks. During RL, we use appropriate scoring rules for forecasting tasks and uncertainty-sensitive rewards on several question-answering tasks. This trained the example to measure uncertainty, province suitable confidence, and create well-calibrated predictions.</p> <div><div data-eval-table tabindex="0" role="region" aria-label="Long Context Reasoning and Factuality"><table aria-label="Long Context Reasoning and Factuality" readabilitydatatable="1"><thead></thead><tbody><tr><th scope="row"><span>HLE-Diamond</span></th><td>28.7%<span> (Highest reported mark in this row)</span></td><td><span>18.2%</span></td><td><span>26.3%</span></td><td><span>17.3%</span></td><td>26.9%<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>CritPt v2</span><span>Full / Hard</span></th><td>55.7/35.0%<span> (Highest reported mark in this row)</span></td><td><span>&ndash;/24.5%</span></td><td>52.6/29.5%<span> (Second-highest reported mark in this row)</span></td><td><span>50.3/27.0%</span></td><td><span>&ndash;/40.5%</span></td></tr><tr><th scope="row"><span>AA-LCR v1.1</span></th><td>83.3%<span> (Second-highest reported mark in this row)</span></td><td><span>80.0%</span></td><td><span>78.3%</span></td><td><span>&ndash;</span></td><td>88.7%<span> (Highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>LongBench v2</span></th><td>70.6%<span> (Highest reported mark in this row)</span></td><td><span>68.2%</span></td><td><span>68.7%</span></td><td><span>65.7%</span></td><td>69.0%<span> (Second-highest reported mark in this row)</span></td></tr><tr><th scope="row"><span>AA-Omniscience v1.1</span><span>score / non-hallucination rate</span></th><td>16.1/73.3<span> (Second-highest reported mark in this row)</span></td><td><span>0.7/&ndash;</span></td><td>25.8/72.0<span> (Highest reported mark in this row)</span></td><td><span>5.1/71.8</span></td><td><span>&ndash;</span></td></tr></tbody></table></div></div> <h3 id="safety-and-alignment" data-typography="article-subheading" n="true">Safety and alignment</h3> <p data-typography="article-body" n="true">Our safety activity for Inkling 2 Small centers on two questions: how the example performs for the broad user, and how fine it resists the elimination of safeguards by a malicious actor. The publish of Inkling&rsquo;s weights is pending additional safety evaluations by us and our partners.</p> <p data-typography="article-body" n="true">To measure misuse risks, we trained an inner helpful-only variant. We ran the two this example and the publish checkpoint through a wider suite of evaluations, alongside additional external testers, than any former release.</p> <p data-typography="article-body" n="true">On chemical, biological, radiological, and nuclear (CBRN) risk, Inkling 2 Small&rsquo;s cognition and capability scores sit below the open-weight frontier. On FORTRESS, Scale AI&rsquo;s personal benchmark that scores how much harmful aid a example gives in reply to expert-written adversarial prompts throughout CBRN, terrorism, and nonviolent crime, Inkling 2 Small has a lesser Average Risk Score compared alongside Inkling and Inkling-Small, and additionally demonstrates a higher Overrefusal Score (see Limitations). The helpful-only type of Inkling 2 Small exhibits marginal uplift on CBRN cognition related to the publish checkpoint, but it does not considerably advancement the frontier on any size we measured.</p> <p data-typography="article-body" n="true">On insulting and dual-use agentic cyber benchmarks, Inkling 2 Small is a ample stage up from Inkling Small but remains rearward the open-weight frontier. It matches the open-weight frontier on Vals CyberBench v1.1 and PatchEval, the two of which measure the capability to discover and place safety vulnerabilities.</p> <div><div data-eval-table tabindex="0" role="region" aria-label="Safety and cyber evaluation results"><table aria-label="Safety and cyber evaluation results" readabilitydatatable="1"><thead></thead><tbody><tr><th scope="row"><span>FORTRESS (ARS) &darr;</span></th><td>16.2<span> (Second-best reported outcome in this row)</span></td><td><span>26.7</span></td><td><span>27.2</span></td><td>7.6<span> (Best reported outcome in this row)</span></td><td><span>28.2</span></td></tr><tr><th scope="row"><span>FORTRESS (ORS) &darr;</span></th><td><span>20.4</span></td><td>3.6<span> (Second-best reported outcome in this row)</span></td><td><span>6.9</span></td><td><span>16.0</span></td><td>3.2<span> (Best reported outcome in this row)</span></td></tr><tr><th scope="row"><span>DistressBench &uarr;</span></th><td>82.0*<span> (Second-best reported outcome in this row)</span></td><td><span>72.7</span></td><td><span>79.8</span></td><td>87.7<span> (Best reported outcome in this row)</span></td><td><span>72.5</span></td></tr><tr><th scope="row"><span>StrongREJECT &uarr;</span></th><td>97.8<span> (Second-best reported outcome in this row)</span></td><td><span>96.8</span></td><td>98.7<span> (Best reported outcome in this row)</span></td><td><span>97.6</span></td><td><span>97.2</span></td></tr><tr><th scope="row"><span>PatchEval &uarr;</span></th><td>79.6<span> (Second-best reported outcome in this row)</span></td><td><span>74.8</span></td><td>80.4<span> (Best reported outcome in this row)</span></td><td><span>77.8</span></td><td><span>69.6</span></td></tr><tr><th scope="row"><span>Vals CyberBench &uarr;</span></th><td>72.7<span> (Second-best reported outcome in this row)</span></td><td><span>67.9</span></td><td>73.7<span> (Best reported outcome in this row)</span></td><td><span>&ndash;</span></td><td><span>72.1</span></td></tr></tbody></table></div><p>DeepSeek combines the supplied Flash results: 1017 for FORTRESS and PatchEval; unversioned Flash for DistressBench, StrongREJECT and Vals CyberBench.</p><p>* While we grip mental distress situations well, our example sometimes overreacts alongside disclaimers in normal affectional assistance queries as mentioned in the Limitations section.</p></div> <p data-typography="article-body" n="true">As models obtain on unsupervised, longer-horizon autonomous work, the possible damage from their misbehavior increases. Without appropriate notice to alignment, capabilities-focused RL can shove models to win at any cost. When tasks were difficult, first checkpoints of Inkling 2 Small were persistent in trying to succeed&mdash;in several cases fabricating results, ignoring instructions, and concealing what they had done.</p> <p data-typography="article-body" n="true">We worked throughout the stack to enhance example alignment. In midtraining, we filtered out traces containing misbehavior and included traces alongside honest, aligned behavior. In RL, we added a broad alignment reward that penalizes misbehavior on all task. We additionally built environments targeting particular nonaccomplishment modes we observed in training, specified as rewarding models for giving up on unattainable tasks. Finally, we used on-policy self-distillation<span><a href="https://en.mycoding.id/category/technology" target="_blank">Zhao et al., 2026</a>.</span> from a instructor example prompted alongside a behavior spec, so the example internalizes principles for fine behavior without definitive prompting.</p> <p data-typography="article-body" n="true">We measured advancement alongside the two inner and external evaluations, and established that Inkling 2 Small substantially improves complete former Inkling models on the two inner and external evaluations, and outperforms a set of comparable open-weights models on our inner evals.</p> <p data-typography="article-body" n="true">Inkling 2 Small motionless trails closed-weights models, specified as GPT-6.1 Sol on our alignment evaluations. Reducing this gap is a precedence for forthcoming models.</p> <p data-typography="article-body" n="true">We additionally worked to safe training and evaluations alongside two layers of monitoring. The archetypal is synchronous: a detect inspects tool calls before they run. Each project declares what actions it authorizes. Deterministic rules inspect calls against the task&rsquo;s guideline and circumvention patterns, escalating uncertain cases to an LLM judge. The second tier is asynchronous: an LLM fairness reviews completed rollouts from training and evaluation for misbehavior and actions against our safety boundary, raising alerts that we triage and escalate into our event process. Together, these form a defense-in-depth method to safety and alignment that we regard crucial to evolving a harmless example factory.</p> <h2 id="training-inkling-2-small" data-typography="article-heading" n="true">Training Inkling 2 Small</h2> <p data-typography="article-body" n="true">Inkling 2 Small&rsquo;s first pretraining phase (H1) covered 8.4 trillion tokens of a broad mix of natural language, code, and depiction data. It ran for 68 hours on NVIDIA GB300 NVL72 racks, which enabled elevated expert parallelism. Training ran natively in NVFP4, the 4-bit floating-point format introduced alongside the NVIDIA Blackwell GPU architecture. We&rsquo;ll portion additional particulars on our NVFP4 formula in a follow-up article soon.</p> <figure id="pretraining-comparison" data-astro-cid-hybgfixu><div wol><div data-astro-cid-sjznsaxl><p data-astro-cid-sjznsaxl>Internal Code</p><p data-astro-cid-sjznsaxl>Cutoff 2026-06 &middot; Bits per byte (lower is better)</p></div><div role="img" aria-label=" 0.2030." wol><p><span wol></span><span wol><span wol>0.19</span><span wol>0.25</span></span><span wol></span></p><div aria-hidden="true" wol><div wol><p><span wol>0.2358</span></p></div><div wol><p><span wol>0.2335</span></p></div><div wol><div wol><p>GLM-5.3 Flash<span wol>base-recovered</span></p></div><p><span wol>0.2327</span></p></div><div wol><div wol><p>DeepSeek V4.1 Flash 1017<span wol>base-recovered</span></p></div><p><span wol>0.2209</span></p></div><div wol><div wol><p>Inkling 2 Small<span wol>post-trained</span></p></div><p><span wol>0.2080</span></p></div><div wol><div wol><p>Kimi K3.1 Pro<span wol>base-recovered</span></p></div><p><span wol>0.2068</span></p></div><div wol><div wol><p>Inkling 2 Small<span wol>pre-trained</span></p></div><p><span wol>0.2030</span></p></div></div></div></div><figcaption data-astro-cid-hybgfixu>Inkling 2 Small considerably outperforms another open-weight models on our chief held-out evaluation. Note that several models are tagged as &ldquo;base-recovered&rdquo;. For models anywhere lone the post-trained checkpoint was available, we fine-tuned on a dataset of pretrain-formatted code and documents before computing log loss. We validated that this procedure mostly recovers basis example defeat on another models anywhere dirt fact (the genuine basis model) is available.</figcaption></figure> <p data-typography="article-body" n="true">We followed this first phase alongside a second phase (H2) of 3.8 trillion tokens of higher-quality, newer data the example hadn&rsquo;t seen, at 512K context. The third and fourth phases blended in data in the deployment format. The third phase was concerning 320 milliard tokens of reasoning and delegate trajectories at 1M context, alongside replayed pretraining data. The fourth phase (H4) kept lone the highest-quality data: concerning 34 milliard tokens of delegate trajectories. The H3 and H4 mixtures consisted mostly of trajectories sampled from before models including Kimi K3 and our own models, filtered for correctness and alignment.</p> <p data-typography="article-body" n="true">We afterward carried out a shared RL run, consisting of 1,075 steps and complete 17 myriad rollouts complete 9 days. See array below for additional details. This sole shared run contrasts alongside the former Inkling release, anywhere we ran distinct reasoning and agentic RL runs and blended them alongside multi-teacher distillation.</p> <p data-typography="article-body" n="true">The project mix included application engineering in genuine repositories, terminal tasks, document creation, STEM inquiry answering, vision, web app building, tool use alongside simulated users, and safety. Each project family had its own grader:</p> <ul> <li data-typography="article-body" n="true"> <p data-typography="article-body" n="true">hidden component tests and programmatic checks for most coding work;</p> </li> <li data-typography="article-body" n="true"> <p data-typography="article-body" n="true">rubric-based LLM judges for documents and tool use;</p> </li> <li data-typography="article-body" n="true"> <p data-typography="article-body" n="true">reference answers for STEM and imagination inquiry answering;</p> </li> <li data-typography="article-body" n="true"> <p data-typography="article-body" n="true">pairwise reward models comparing screenshots of rendered web apps.</p> </li> </ul> <p data-typography="article-body" n="true">We randomly sampled and conditioned on an attempt level, and applied a dimension penalty in the reward function, which trained the example to commerce off speed and thoroughness.</p> <p data-typography="article-body" n="true">Our asynchronous RL uses a mark centering variant&mdash;the StableReinforce goal in Tinker&mdash;which tolerates important staleness. Our run combines abbreviated and lengthy horizon tasks alongside p50/p99 total rollout tokens being 43k and 1.5M respectively and p50/p99 duration of 8 minutes and 4 hours respectively. We use 256k environment dimension and allow compaction training for long-horizon tasks. As a result, the two training reward and evaluation achievement develop log-linearly alongside compute.</p> <div data-toc-collision="true"><figure id="preflight-training-reward"><p data-astro-cid-sjznsaxl>Training reward</p><div data-owned-figure data-reveal="draw" data-palette="primary" data-line-weight="normal" data-y-label-orientation="responsive" data-responsive role="img" aria-label="Training reward. Training reward versus cumulative learner and sampler FLOPs, on a logarithmic axis. 801 supplied points, from 0.3783 at 7.147e+21 FLOPs to 0.5497 at 4.132e+23 FLOPs. Score range 0.3755 to 0.5552." ace><div ace><p aria-hidden="true" ace>Mean reward</p><svg viewbox="0 74 800 441" aria-hidden="true" focusable="false" ace>0.30.40.50.610&sup2;&sup2;5&times;10&sup2;&sup2;2&times;10&sup2;&sup3;Mean rewardCumulative learner + sampler FLOPs<path data-chartscatter-series="Training reward (smoothed)" d="M 87.4 337.6 L 94.9 339.5 L 102 340 L 109.6 340.7 L 117.8 339.3 L 125 337.7 L 132.9 334.4 L 137.7 331.1 L 142.9 328.9 L 148.4 326.6 L 155.2 324.5 L 160.3 323.5 L 166.1 322.6 L 171 321.4 L 175.6 320.7 L 181.1 320.5 L 185.1 320.8 L 190.3 320.7 L 194.8 319.9 L 200.4 319.4 L 204.8 318.6 L 208.2 317.7 L 212.3 317.3 L 216.4 316 L 220.3 315.5 L 223.5 314.7 L 227.2 312.9 L 230.6 311.5 L 234.4 309.8 L 238.4 308.8 L 242.3 307.5 L 245.9 307.5 L 249.4 308.5 L 252.6 308.5 L 256.3 308.3 L 260.3 307.7 L 269.2 308.5 L 272.6 308.8 L 276.5 309.7 L 278.8 309.5 L 281.1 308.1 L 282.8 308.2 L 284.1 307.7 L 285.1 307.7 L 286.1 306.6 L 287.1 306.5 L 288.5 304.9 L 290 303.3 L 292.6 302.3 L 295.1 300.9 L 298.1 299.7 L 301.1 297 L 303.9 296.4 L 306.6 295.9 L 308.9 293.6 L 311.5 294 L 314.3 292 L 316.3 293.3 L 319.1 292.3 L 322 291.1 L 324.3 289.8 L 326.8 288.6 L 329.4 287.7 L 331.7 287 L 334.2 285.7 L 336.7 284.4 L 339.4 284.6 L 341.9 283.6 L 344.8 282.8 L 347.8 281.2 L 350.2 280.6 L 353.6 278.7 L 356.3 277.7 L 359.6 277.5 L 362.6 273.9 L 365.8 271.4 L 368.5 268.1 L 371.3 265.6 L 373.8 262.8 L 375.7 261.9 L 378.3 261.6 L 380 263.5 L 381.9 265.2 L 383.1 265.6 L 384.5 266.3 L 385.8 266.1 L 387.3 266.5 L 388.5 266.2 L 390 266.6 L 391.2 264.9 L 393.2 264.9 L 394.6 263.4 L 396.9 262.4 L 398.1 262.3 L 400.1 261.3 L 401.4 260.8 L 402.8 260.7 L 404.3 260.3 L 405.8 259 L 407.1 259.2 L 408.4 257.9 L 410 259 L 411.4 258.2 L 412.8 259.7 L 413.9 258.7 L 415.2 259.1 L 416.2 256.7 L 417.2 256 L 418.3 254.5 L 419.3 252.2 L 420.2 252.1 L 421.2 249.4 L 422.1 246.7 L 422.9 244.4 L 424 242.2 L 425 242 L 426.3 240.1 L 427.3 239.8 L 428.4 238 L 429.5 238.6 L 430.5 237.7 L 431.6 239.1 L 432.7 239.5 L 434.2 239.8 L 435.1 240.2 L 436.6 240.9 L 437.8 242.9 L 439 243.3 L 440 242.7 L 441.1 245.7 L 442.2 246.2 L 443.3 249.8 L 444.4 250 L 445.2 251.5 L 446.4 251.1 L 447.3 250.8 L 448.8 249.5 L 449.8 247.5 L 451.3 246.8 L 452.5 245.9 L 454 245.9 L 455 243.9 L 456.4 242.6 L 457.4 239.9 L 458.5 237.6 L 459.8 237.4 L 460.6 237.3 L 461.7 238.5 L 462.7 236.8 L 463.7 236.9 L 464.8 237.2 L 465.5 238.3 L 466.8 240.1 L 467.5 242.3 L 468.8 242.6 L 469.8 241.9 L 471.3 240.2 L 472.4 238.9 L 473.5 238 L 474.5 237.4 L 475.9 238.1 L 477.2 235.8 L 478.6 236.1 L 479.5 234.7 L 480.6 234.2 L 481.5 232.1 L 484.5 231.3 L 485.4 230.9 L 486.6 230.3 L 489 230.5 L 489.6 230.3 L 490.3 230.5 L 490.8 230.9 L 491.2 232.9 L 491.7 232.7 L 492.1 233.1 L 492.6 233.8 L 493.1 233.5 L 493.6 231.6 L 494 232 L 494.2 231 L 494.6 231.5 L 494.9 229.8 L 495.2 230.7 L 495.6 231.1 L 496.1 229.7 L 496.4 228.5 L 496.9 229.5 L 497.3 228.3 L 497.9 230.4 L 498.3 230.3 L 498.9 231.3 L 499.2 230.9 L 499.7 229.7 L 500.1 226.9 L 500.7 226.4 L 501.2 224.4 L 501.9 223.2 L 502.4 223.1 L 503.1 221.7 L 503.6 220.6 L 504.2 218.1 L 504.7 216.4 L 505.2 216.3 L 506 213.3 L 506.8 210.2 L 507.8 207.4 L 508.6 205.2 L 509.4 203.5 L 510.2 203.6 L 510.9 204.1 L 511.8 205.2 L 512.5 206.3 L 513.3 205.7 L 514.2 207.1 L 514.8 206.7 L 515.7 207.7 L 516.4 208.6 L 517.1 210 L 517.9 212.8 L 518.5 212.5 L 519 212.5 L 519.8 212.2 L 520.3 212.6 L 521.2 212.1 L 521.7 213 L 522.6 213.1 L 523.2 213.8 L 523.9 213.4 L 524.6 215.4 L 525.1 216.4 L 525.6 218.9 L 526.6 219.4 L 527.3 220.7 L 527.8 221.1 L 528.7 221 L 529.3 221 L 530 220.1 L 530.4 219.1 L 531.1 220.6 L 531.6 218.8 L 532.4 219.3 L 533.1 217 L 533.9 217.2 L 534.6 214.6 L 535.2 215.7 L 535.9 213.6 L 536.5 212.3 L 537.1 210.6 L 537.8 210.9 L 538.4 212.4 L 539 211.9 L 539.6 213.7 L 540.3 214.4 L 540.9 215 L 541.5 215.7 L 542.2 215.9 L 542.8 217.1 L 543.4 216 L 544.1 214.3 L 544.9 215 L 545.5 216.1 L 546.3 216 L 547.2 215.4 L 547.9 213.7 L 548.6 211.9 L 549.5 210.6 L 550.1 208.6 L 550.9 209.3 L 551.4 209 L 552.3 207.8 L 552.6 206.2 L 553.5 206.3 L 553.7 205 L 554.4 204.1 L 554.6 203.3 L 555.2 203.7 L 555.4 202.3 L 556.1 200.4 L 556.3 198.9 L 557 199.6 L 557.4 199.2 L 558 199 L 558.4 198.5 L 559.2 199 L 559.9 198.7 L 560.8 198.4 L 561.5 198.2 L 562.3 198.4 L 563 197.7 L 563.8 198 L 564.5 196.9 L 565.2 196 L 565.9 196.7 L 566.6 197.7 L 567.5 198.9 L 568 199.4 L 568.6 199.1 L 569 200.3 L 569.6 200.6 L 569.9 200.8 L 570.5 201.7 L 570.7 200.3 L 571.3 199.2 L 571.6 195.8 L 572.1 193.4 L 572.3 189.5 L 572.7 185.8 L 573.1 182.9 L 573.4 181.2 L 573.8 178.8 L 574.2 179.4 L 574.6 179.3 L 574.9 179.8 L 575.3 179.3 L 575.6 181.5 L 576.2 182.6 L 576.7 185.1 L 577.1 184.4 L 577.7 187.2 L 578.2 185.1 L 578.6 187 L 579.1 189.4 L 579.5 191.3 L 579.9 191.2 L 580.6 191.1 L 581 190.6 L 581.4 190.3 L 582 190.7 L 582.6 189.6 L 583.1 187.9 L 583.8 186.9 L 584.3 185.9 L 584.8 184 L 585.3 185.3 L 585.9 183.8 L 586.3 183.1 L 587.7 180.5 L 588.4 180.6 L 588.7 178 L 589.1 178.4 L 589.3 178.7 L 589.4 180.1 L 589.7 180.2 L 589.9 182 L 590 182.7 L 590.3 184.6 L 590.4 185.3 L 590.9 184.8 L 591.3 186.6 L 591.8 188.9 L 592.3 190.7 L 592.7 195.7 L 593.2 198.9 L 593.7 202.9 L 594.2 204.7 L 594.7 206.8 L 595.8 208.7 L 596.5 210.9 L 597.3 210 L 597.9 210.7 L 598.6 210.3 L 599.2 211 L 599.8 211.1 L 600.4 211 L 601 208.9 L 601.5 210.6 L 602 212.4 L 602.3 211.1 L 602.7 208.9 L 603 209.1 L 603.4 209.3 L 603.6 208.9 L 603.9 207.5 L 604.1 207.2 L 604.5 204 L 604.7 202.3 L 605.2 201 L 605.7 199.5 L 606.2 202 L 606.8 202.4 L 607.3 206.7 L 607.7 210.9 L 608.2 214.6 L 608.7 215.6 L 609.3 219 L 609.7 219.1 L 610.9 219.2 L 611.2 218.9 L 612.8 218.9 L 613.4 218.2 L 614.6 216.7 L 615.1 215 L 616.1 213.6 L 616.5 212.3 L 617.1 211.8 L 617.4 210.5 L 617.9 207.8 L 618.1 204.9 L 618.8 203.4 L 619.1 200.8 L 619.7 200.4 L 620 199.3 L 620.4 198.3 L 620.8 198.7 L 621.2 201 L 621.5 201.5 L 622 203 L 622.4 204.9 L 622.9 205.9 L 623.2 205.3 L 623.6 207.1 L 624 208.4 L 624.4 210.4 L 625.1 213.6 L 625.3 214.7 L 626.1 215.5 L 626.6 215 L 627.4 214.5 L 627.7 214.6 L 628.5 213.9 L 628.8 214.6 L 629.5 214.2 L 629.7 215.1 L 630.3 214.1 L 630.6 212.8 L 631 211.7 L 631.3 206.9 L 631.7 205 L 632 202.8 L 632.2 199.3 L 632.6 196.7 L 632.8 193.1 L 633.1 191 L 633.6 190.3 L 634 189 L 634.4 188 L 634.9 188.2 L 635.4 187.4 L 635.9 188.7 L 636.6 191.2 L 637 191.8 L 637.9 190.1 L 638.3 191.7 L 639.1 193.2 L 639.4 191.6 L 640.1 192 L 640.4 192.2 L 641.2 192 L 641.7 193.2 L 642.3 193.3 L 642.8 192.6 L 643.3 191.7 L 643.8 192.1 L 644.4 189.6 L 644.8 190.6 L 645.6 187.6 L 645.8 186.7 L 646.4 183.1 L 646.9 183.5 L 647.5 180.2 L 647.9 181.5 L 648.4 180.1 L 648.7 183.1 L 649 182.1 L 649.2 182.9 L 649.5 182.3 L 649.7 182.3 L 650 184.1 L 650.2 184.3 L 650.5 184.9 L 650.7 184.4 L 651.2 185.1 L 651.4 185 L 651.8 183.6 L 652.3 184.2 L 653 182 L 653.5 182.2 L 654 181.9 L 654.7 180.1 L 655.1 177.3 L 655.6 176.1 L 656.2 173.5 L 656.5 172.1 L 657.1 169.7 L 657.4 168.6 L 657.8 165.5 L 658 162.3 L 658.4 159.5 L 658.5 159.2 L 658.9 158.3 L 659.1 158.1 L 659.6 158 L 659.8 157.6 L 660.1 154.1 L 660.3 151.3 L 660.8 149.9 L 661 149.7 L 661.6 149.1 L 661.8 149.8 L 662.3 149 L 662.5 150.3 L 662.8 153.5 L 663.1 154.8 L 663.3 156.2 L 663.6 159.4 L 663.9 162.1 L 664.2 165.8 L 664.6 167.5 L 664.8 170.7 L 665.2 172.4 L 665.4 175.1 L 665.9 174.7 L 666.1 177.7 L 666.5 177.6 L 667.9 177.9 L 668 177.8 L 668.2 179.2 L 668.4 178.8 L 668.5 178 L 668.6 178.1 L 668.8 176.8 L 669 176 L 669.1 175.7 L 669.2 174.3 L 669.4 172.8 L 669.9 170.8 L 669.9 170.1 L 670.2 171.8 L 670.3 171 L 670.4 170.2 L 670.6 169.6 L 670.8 169.7 L 671.2 171.2 L 671.5 171.5 L 671.9 174.1 L 672.3 174.5 L 672.6 177.7 L 673 176.5 L 673.6 177.5 L 674.2 177.2 L 674.9 178 L 675.7 178 L 677.1 176 L 677.7 174.9 L 678.2 175.7 L 678.6 176.7 L 678.9 174.6 L 679.3 175.1 L 679.7 175.7 L 680 175.1 L 680.6 175.2 L 680.9 173.1 L 681.8 170.8 L 682 171.5 L 682.5 170.8 L 682.8 170.4 L 683.1 170 L 683.4 168.8 L 683.7 168.4 L 684.1 168 L 684.3 167.6 L 684.6 167.5 L 685.1 167.2 L 685.3 165.7 L 685.8 165.6 L 686.4 165.1 L 686.6 163.9 L 686.9 162 L 687.2 161.2 L 687.4 163.8 L 687.7 164 L 688 164 L 688.3 163.7 L 688.6 164.9 L 689 165 L 689.2 165 L 689.5 161.2 L 689.7 156.8 L 690 154.1 L 690.6 151.9 L 690.7 148.9 L 691 146.6 L 691.3 145.5 L 691.4 143 L 691.6 141.2 L 691.8 140.3 L 691.9 140 L 692.1 140.9 L 692.2 140.5 L 692.4 141.8 L 692.5 141.9 L 692.6 143.5 L 692.7 144.8 L 692.8 148.4 L 692.9 151.5 L 693 154.6 L 693 157.7 L 693.1 159.3 L 693.3 160.8 L 693.3 164.5 L 693.4 167.4 L 693.8 168.4 L 693.9 166.5 L 694 167.9 L 694.1 167.9 L 694.3 168.1 L 694.6 167.8 L 694.9 166.3 L 695.2 164.5 L 695.5 162.1 L 696 158.4 L 696.1 154 L 696.4 149.7 L 696.5 147.8 L 696.7 146.7 L 697 146 L 697.3 146.5 L 697.6 146.1 L 697.9 145.6 L 698.3 143 L 698.6 141.8 L 698.8 143.8 L 699.5 144.5 L 699.8 144.5 L 700.3 144.7 L 700.7 145.7 L 701.3 146.8 L 701.7 148.8 L 702.3 149.4 L 702.8 150.7 L 703.7 152.8 L 704.4 155.2 L 704.9 159.1 L 705.4 162.2 L 705.6 166.8 L 705.9 169.7 L 706.2 175.3 L 706.4 177.5 L 706.5 177.9 L 706.6 178.8 L 706.8 179.7 L 706.9 179.8 L 707 181.8 L 707.1 184.7 L 707.2 184.4 L 707.3 183 L 707.5 181.3 L 707.5 177.9 L 707.6 175.9 L 707.7 174.7 L 707.8 172.7 L 707.9 174.2 L 708 176.3 L 708.2 177.1 L 708.3 176.5 L 708.4 178 L 708.5 178.4 L 708.8 179.1 L 709.1 179.1 L 709.3 180.7 L 709.5 182.3 L 709.8 183.3 L 710.1 182.4 L 710.4 180.3 L 710.7 177.5 L 711.1 174.7 L 711.3 172.7 L 711.6 169.4 L 711.9 164.3 L 712.2 159.7 L 712.6 156.7 L 713 152.4 L 713.3 151.7 L 713.8 150.1 L 714 148.4 L 714.4 147.3 L 714.6 149.1 L 714.8 149.1 L 715 149.8 L 715.2 150.1 L 715.4 150.5 L 715.6 150 L 715.7 151.5 L 715.9 151.5 L 716.1 153.4 L 716.3 154.4 L 716.6 156.9 L 716.9 159.6 L 717.1 162.6 L 717.4 162.1 L 717.7 163.5 L 718 162.8 L 718.2 167 L 718.6 167.4 L 718.9 170.7 L 719.2 171 L 719.6 172.1 L 720 170.3 L 720.3 171 L 720.7 170 L 720.8 170.9 L 721.1 170 L 721.3 171.3 L 721.5 169.8 L 721.7 169.2 L 721.9 167.7 L 722.1 166.6 L 722.4 164.1 L 722.6 162.1 L 722.9 158.3 L 723.1 156.3 L 723.5 153.6 L 723.8 152.2 L 724.1 151.8 L 724.4 149.7 L 724.7 149.6 L 724.9 148.2 L 725.2 149.4 L 725.4 149.4 L 725.6 149.7 L 725.8 150.5 L 726.1 152.2 L 726.3 157 L 726.6 158.5 L 726.8 160.9 L 727.1 163.4 L 727.3 165.9 L 727.6 167.1 L 727.8 168.2 L 728.2 168.9 L 728.4 167.3 L 728.8 166.6 L 728.9 165.1 L 729.4 163.2 L 729.5 161.9 L 729.9 158.4 L 730.1 157.2 L 730.5 153.7 L 730.6 154.5 L 731 153.3 L 731.2 154.8 L 731.5 153.7 L 731.6 155.4 L 731.9 155.2 L 732 156 L 732.3 155.6 L 732.5 157.2 L 732.7 155.9 L 732.9 154.7 L 733.1 156.1 L 733.3 154.8 L 733.5 154.1 L 733.7 153.7 L 733.9 154.2 L 734.2 153.3 L 734.4 153.7 L 734.7 152.8 L 735 153.7 L 735.3 151.9 L 735.6 152.7 L 735.9 150.3 L 736.3 151 L 736.7 150.2 L 737 148.7 L 737.2 150 L 737.5 148.7 L 737.7 149.6 L 738 147 L 738.2 148.1 L 738.4 146.5 L 738.6 147.2 L 738.8 144.8 L 739 146.3 L 739.2 145.1 L 739.4 146.2 L 739.6 144.9 L 739.8 145.9 L 740.1 143.6 L 740.3 144.7 L 740.6 145.2 L 740.8 145.5 L 741 145 L 741.3 145.5 L 741.5 145.7 L 741.7 147.4 L 741.9 148.7 L 742.3 149 L 742.4 150.3 L 742.8 150.8 L 742.9 153 L 743.2 151.3 L 743.3 155.7 L 743.6 154.5 L 743.7 155.1 L 744.1 155.4 L 744.1 156 L 744.4 155.5 L 744.5 152.6 L 744.9 150.2 L 745.1 146.2" ace></path></svg></div></div><figcaption>Training reward versus cumulative learner and sampler FLOPs, on a logarithmic axis.</figcaption></figure><figure id="stem-training-performance"><p data-astro-cid-sjznsaxl>STEM evaluation performance</p><div data-owned-figure data-reveal="draw" data-palette="emerald" data-line-weight="normal" data-y-label-orientation="responsive" data-responsive role="img" aria-label="STEM evaluation performance. STEM evaluation achievement versus cumulative learner and sampler FLOPs, on a logarithmic axis. 33 supplied points, from 0.3230 at 7.147e+21 FLOPs to 0.4751 at 4.132e+23 FLOPs. Score range 0.3230 to 0.4751." ace><div ace><p aria-hidden="true" ace>STEM evaluation score</p><svg viewbox="0 74 800 441" aria-hidden="true" focusable="false" ace>0.30.350.40.450.510&sup2;&sup2;5&times;10&sup2;&sup2;2&times;10&sup2;&sup3;STEM evaluation scoreCumulative learner + sampler FLOPs<path data-chartscatter-series="STEM evaluation" d="M 87.4 386.5 L 223.5 329.6 L 298.1 285.5 L 365.8 277 L 408.4 265.5 L 436.6 272.1 L 464.8 261.9 L 492.1 247.3 L 503.6 248.5 L 521.7 212.8 L 538.4 231.6 L 554.6 212.8 L 569.9 202.6 L 580.6 219.5 L 591.8 225.5 L 604.5 221.3 L 619.1 181.4 L 630.6 193.5 L 642.3 170.5 L 652.3 191.7 L 662.3 156.6 L 669.4 182.6 L 680 195.3 L 689 154.1 L 693.3 175.9 L 700.3 170.5 L 707.7 148.7 L 714 161.4 L 720.7 142.6 L 726.8 151.7 L 733.1 154.7 L 739.4 169.9 L 745.1 131.8" ace></path></svg></div></div><figcaption>STEM evaluation achievement versus cumulative learner and sampler FLOPs, on a logarithmic axis.</figcaption></figure><figure id="vision-training-performance"><p data-astro-cid-sjznsaxl>Vision evaluation performance</p><div data-owned-figure data-reveal="draw" data-palette="primary" data-line-weight="normal" data-y-label-orientation="responsive" data-responsive role="img" aria-label="Vision evaluation performance. Vision evaluation achievement versus cumulative learner and sampler FLOPs, on a logarithmic axis. 33 supplied points, from 0.5756 at 7.147e+21 FLOPs to 0.6959 at 4.132e+23 FLOPs. Score range 0.5756 to 0.7034." ace><div ace><p aria-hidden="true" ace>Vision evaluation score</p><svg viewbox="0 74 800 441" aria-hidden="true" focusable="false" ace>0.550.60.650.70.7510&sup2;&sup2;5&times;10&sup2;&sup2;2&times;10&sup2;&sup3;Vision evaluation scoreCumulative learner + sampler FLOPs<path data-chartscatter-series="Vision evaluation" d="M 87.4 382.2 L 223.5 348.7 L 298.1 313.3 L 365.8 297.5 L 408.4 291 L 436.6 264.4 L 464.8 258.3 L 492.1 269.2 L 503.6 252.4 L 521.7 241.8 L 538.4 223.9 L 554.6 235.9 L 569.9 234.4 L 580.6 232.1 L 591.8 215.9 L 604.5 200.8 L 619.1 189.4 L 630.6 184.3 L 642.3 179.8 L 652.3 185.1 L 662.3 190.7 L 669.4 182.2 L 680 188.5 L 689 204.9 L 693.3 179.4 L 700.3 179.8 L 707.7 190.7 L 714 185.2 L 720.7 176 L 726.8 168.1 L 733.1 175.8 L 739.4 180.3 L 745.1 180.7" ace></path></svg></div></div><figcaption>Vision evaluation achievement versus cumulative learner and sampler FLOPs, on a logarithmic axis.</figcaption></figure></div> <p data-typography="article-body" n="true">Making this measure applicable required improvements throughout the systems stack. Our RL infrastructure deploys NVFP4 MoE training and sampling. During sampling, prefill, draft, and verify run completely on CUDA graphs. Trainers mirror the pretrain stack alongside elevated expert parallelism, EPLB, and CUDA graphs to enhance GPU efficiency. To assistance lengthy horizon agentic workloads, we use sticky routing and DRAM KV-cache offloading for maintaining 93%+ prefix cache hit rate, allowing us to keep a 5:3 sampler:trainer proportion notwithstanding training at lengthy contexts. Weight transfer is done via GPUDirectRDMA at 93%+ row charge alongside a parallelism-invariant checksum verifier. We additionally additional lesser deployment conclusion disbursal by offering a type of NVFP4 KV cache, which we discover to minimally lesser evals.</p> <p data-typography="article-body" n="true">Long-horizon tasks provision the example hours of autonomy, expanding possible risks from misaligned behavior. Midway through the chief RL run, our asynchronous detect flagged an case anywhere the model, failing at a task, worked about a network obstacle through a third-party assistance it could attain using its hunt tools. We paused the run, hardened our infrastructure, removed environments that required web access, and added synchronous tool-call monitoring. We afterward resumed the run, incorporating additional training phases specifically for alignment, as described above.</p> <p data-typography="article-body" n="true">Improvements to our procedure authorize us to train models at distinct sizes using akin recipes alongside predictable scaling and performance. Inkling 2 Small is part of a ladder of models; we appearance onward to sharing additional rungs alongside you soon.</p> <h2 id="benchmarking-inkling-2-small" data-typography="article-heading" n="true">Benchmarking Inkling 2 Small</h2> <p data-typography="article-body" n="true">Like former Inkling releases, we benchmarked Inkling-Small on a broad range of capabilities. All evals run at attempt 0.99 (xhigh) and heat 1.0. All evals run alongside a 1M-token maximum trajectory limit, risen from the 256K-token bounds used for Inkling Small.</p> <p><span>Highest reported mark in all row; ties included</span><span>Second-highest reported mark in all row; ties included</span></p> <p data-typography="article-body" n="true"><strong>Evaluation snapshot:</strong> Missing results are shown as dashes.</p> <h2 id="limitations" data-typography="article-heading" n="true">Limitations</h2> <p data-typography="article-body" n="true">While Inkling 2 Small improves on usability vs Inkling, it is not the most succinct communicator, and doesn&rsquo;t continually choose the finest tools for the job&mdash;especially in codebases alongside a ample figure of skills.</p> <p data-typography="article-body" n="true">Like former Inkling models, Inkling 2 Small natively supports depiction input; however, this example does not assistance audio.</p> <p data-typography="article-body" n="true">Inkling 2 Small is additionally small optimized for the conversation experience. We notice issues specified as worse institution and display of content, overuses of slashes, and overreaction to mental health and another safety connected queries.</p> <h2 id="try-inkling-2-small-today" data-typography="article-heading" n="true">Try Inkling 2 Small today</h2> <p data-typography="article-body" n="true">We are arrogant to create Inkling 2 Small accessible on Tinker for conclusion and fine tuning. Following the completion of safety testing, the example volition be accessible on additional platforms in the coming weeks.</p> <p data-typography="article-body" n="true">Inkling 2 Small was made in assistance of <a href="https://en.mycoding.id/category/technology" target="_blank">our mission</a> to build AI that extends individual volition and judgment. We anticipation that it encourages your ambitions, and we appearance onward to seeing what you build alongside it.</p>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/inkling-2-small-75881</guid> <pubDate>Fri, 06 Nov 2026 01:00:24 +0700</pubDate> <author><![CDATA[support@mycoding.id (Putri Silvia)]]></author> </item> <item> <title><![CDATA[I Built My Identity Around My Career, Then Illness Took It Away. Here’s What I Learned About Purpose.]]></title> <description><![CDATA[I Built My Identity Around My Career, Then Illness Took It Away. Here’s What I Learned About Purpose.. A heading can disappear overnight, but the skills below it don’t. Three questions to acknowledge the strengths that transport complete to any comes next.]]></description> <media:thumbnail url="https://www.entrepreneur.com/wp-content/uploads/sites/2/2026/11/business-identity-and-purpose-1126_g2282476741.jpg"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/i-built-my-identity-around-my-career-then-illness-took-it-away-here-s-what-i-learned-about-purpose-75886</link> <content:encoded><![CDATA[<p> Opinions expressed by Entrepreneur contributors are their own. </p><div> <div> <h2>Key Takeaways</h2> <ul> <li>Look for the skills and values that remain changeless throughout all function you&rsquo;ve held, since that core, not your title, is what carries you through a occupation disruption.</li> <li>Instead of deciding everything at once, run one small, low-stakes experiment, akin a conversation or flank project, to discover clarity during a pivot.</li> </ul> </div> <p>I nearly passed out at activity before I admitted item was wrong. It wasn&rsquo;t that I didn&rsquo;t acknowledge my symptoms were serious. It was that leaving my occupation felt additional hazardous than the health problems I was struggling with.</p> <p>That&rsquo;s the part of the narrative I used to depart out, since it was the hardest to admit: My build was telling me to stop, and I kept ignoring it since I had built my entire character about being unstoppable and about my function as an occupational therapist (OT). I had studied and trained extensively to rotate into a licensed OT. I had cast near friendships alongside colleagues. I relied on the income. And I quietly believed that being an OT was what made me valuable. Eventually, my health declined further, and the decision I couldn&rsquo;t create was made for me: I was forced to quit because of illness.</p> <p>At first, I grieved what was. I felt concerned concerning the abrupt alter in our family&rsquo;s <a href="https://en.mycoding.id/category/technology" target="_blank">finances</a>, the disruption to our routines, and the defeat of my character without the heading of &ldquo;occupational therapist.&rdquo; I expected those feelings. What I didn&rsquo;t anticipate was relief.</p> <p>That alleviation unsettled me additional than my diagnoses had. If operating as an OT was really my purpose, why did losing it awareness akin environment item down? Why did I awareness a new awareness of freedom? I had spent years telling patients that their character was bigger than any one role. It turns out I didn&rsquo;t really accept that concerning myself until I had no choice.</p> <h2 id="h-why-professionals-confuse-occupation-with-purpose"><strong>Why professionals confuse occupation alongside purpose</strong></h2> <p>I accept most professionals and <a href="https://en.mycoding.id/category/technology" target="_blank">entrepreneurs</a> confuse occupation alongside intent since a occupation gives us item intent solitary cannot: proof. A job heading is proof. A paycheck is proof. Purpose isn&rsquo;t. You can&rsquo;t catalog definition on a r&eacute;sum&eacute;, so we let what&rsquo;s measurable remain in for what isn&rsquo;t. The longer we remain in a role, the additional our <a href="https://en.mycoding.id/category/technology" target="_blank">routines</a>, relationships and self-worth revolve about it, until it becomes difficult to inform the difference between what we do and who we are.</p> <p>That isn&rsquo;t a character flaw. It&rsquo;s a logical reply to how most workplaces operate. Advancement is rewarded; questioning the way is not. So consideration gets postponed until item forces it: an illness, a layoff, a restructuring, a loss, a alter in a relationship. And whenever the inquiry of intent eventually arrives, it rarely feels akin curiosity. It feels akin a crisis.</p> <h2 id="h-what-rebuilding-really-requires"><strong>What rebuilding really requires</strong></h2> <p>Here&rsquo;s what no one told me: Rebuilding doesn&rsquo;t commencement alongside finding a new <a href="https://en.mycoding.id/category/technology" target="_blank">purpose</a>. It starts alongside figuring out which parts of your character are genuinely yours and which were borrowed from your job. Telling the two distinct takes longer than most group expect, since a function can get your sound without you noticing.</p> <p>I rebuilt by looking for what stayed changeless throughout all type of my work, before, during and following my period as an OT. A few things stood out. I could explain complex things simply. I was drawn to assisting group comprehend their situations improved than they had before. And I was continually energized by association fairly than credentials. Those traits showed up whether I was operating in a clinic, penning a food blog or speaking on camera. My heading changed multiple times, but the thread connecting them never did.</p> <p>That&rsquo;s the genuine activity of realignment: separating your transferable center from your job description. Most group skip this stage since it method sitting alongside uncertainty, and that&rsquo;s uncomfortable. It&rsquo;s natural to desire to substitute what you&rsquo;ve misplaced as quickly as imaginable fair to awareness stable again. But rushing can guide you correct rear into the identical trap, tying your character to a new heading before you&rsquo;ve figured out what really fits.</p> <h2 id="h-redefining-success-on-purpose-not-by-accident"><strong>Redefining achievement on purpose, not by accident</strong></h2> <p>I used to measure achievement by how far I advanced in one lane. Now I ask myself three questions before making any occupation decision, whether I&rsquo;m choosing to pivot or being forced to change.</p> <p><strong>What current is mine, despite of the title?</strong> Not the role, but the underlying capability: the item I&rsquo;d motionless be fine at if the job disappeared tomorrow. For me, that was explaining complex things simply. When I started food blogging, I idea of it as a complete departure from occupational therapy. Then I noticed the similarities. I was motionless educating, motionless <a href="https://en.mycoding.id/category/technology" target="_blank">communicating</a>, motionless taking data and making it helpful in people&rsquo;s mundane lives. The environment and my heading had changed, but the capability carried over, equal exterior a clinic.</p> <p><strong>Is this restlessness or fear?</strong> <a href="https://en.mycoding.id/category/technology" target="_blank">Restlessness</a> is a indication that you&rsquo;ve outgrown something. Fear of instability is additionally a signal, but a distinct one. Learning to inform them distinct keeps you from staying stuck in roles that no longer fit.</p> <p><strong>What&rsquo;s the smallest genuine test I can run this month?</strong> One conversation, one class, one small project, alongside no justify it volition go anywhere. <a href="https://en.mycoding.id/category/technology" target="_blank">Clarity</a> comes from small realignments, not from deciding everything in advance.</p> <p>Today, I custom occupational therapy again, but differently, and on conditions I chose fairly than ones I inherited. Returning didn&rsquo;t reverse my pivot. It was a realignment, since the changeless was never the career. It was the values I carried through all change.</p> <p>A heading can disappear in a sole day, but the capabilities underneath it rarely do. Anyone facing a occupation disruption can ask the identical question: What would motionless be true concerning my skills, my values and the way I nexus alongside others if my job were gone tomorrow? That answer is value construction toward lengthy before a emergency forces the question. Purpose was never meant to fit inner one job description. It was meant to last whichever one comes next.</p> </div><div> <div> <h2>Key Takeaways</h2> <ul> <li>Look for the skills and values that remain changeless throughout all function you&rsquo;ve held, since that core, not your title, is what carries you through a occupation disruption.</li> <li>Instead of deciding everything at once, run one small, low-stakes experiment, akin a conversation or flank project, to discover clarity during a pivot.</li> </ul> </div> <p>I nearly passed out at activity before I admitted item was wrong. It wasn&rsquo;t that I didn&rsquo;t acknowledge my symptoms were serious. It was that leaving my occupation felt additional hazardous than the health problems I was struggling with.</p> <p>That&rsquo;s the part of the narrative I used to depart out, since it was the hardest to admit: My build was telling me to stop, and I kept ignoring it since I had built my entire character about being unstoppable and about my function as an occupational therapist (OT). I had studied and trained extensively to rotate into a licensed OT. I had cast near friendships alongside colleagues. I relied on the income. And I quietly believed that being an OT was what made me valuable. Eventually, my health declined further, and the decision I couldn&rsquo;t create was made for me: I was forced to quit because of illness.</p> <p>At first, I grieved what was. I felt concerned concerning the abrupt alter in our family&rsquo;s <a href="https://en.mycoding.id/category/technology" target="_blank">finances</a>, the disruption to our routines, and the defeat of my character without the heading of &ldquo;occupational therapist.&rdquo; I expected those feelings. What I didn&rsquo;t anticipate was relief.</p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/i-built-my-identity-around-my-career-then-illness-took-it-away-here-s-what-i-learned-about-purpose-75886</guid> <pubDate>Fri, 06 Nov 2026 01:00:00 +0700</pubDate> <author><![CDATA[support@mycoding.id (Dr. Jessica Mack)]]></author> </item> <item> <title><![CDATA[The New York Times is in talks to buy Letterboxd for around $330 million]]></title> <description><![CDATA[The New York Times is in talks to buy Letterboxd for around $330 million. The New York Times Company is in talks"exclusive negotations" to get Letterboxd, the social network for movie lovers, for about $330 million, The New York T...]]></description> <media:thumbnail url="https://platform.theverge.com/wp-content/uploads/sites/2/2026/11/Screenshot-2026-11-05-at-3.41.44-PM.png?quality=90&amp;strip=all&amp;crop=0%2C10.757025564763%2C100%2C71.06962511024&amp;w=1200"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/the-new-york-times-is-in-talks-to-buy-letterboxd-for-around-330-million-75876</link> <content:encoded><![CDATA[<div><div><div><div><div><p><a href="https://en.mycoding.id/category/technology" target="_blank"><img alt="Jay Peters" data-chromatic="ignore" loading="lazy" width="36" height="36" decoding="async" data-nimg="1" srcset="https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=48 1x, https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=96 2x" src="https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=96"></a></p><div><p><span aria-expanded="false" aria-haspopup="true" role="button" tabindex="0"><span id="follow-author-standard_article_details-dmcyOmF1dGhvclByb2ZpbGU6MTIz"><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><span>Jay Peters</span></span></span></p> <p><span>is a elder newsman covering technology, gaming, and more. He joined The Verge in 2019 following nearly two years at Techmeme.</span></p></div></div></div></div></div><div id="zephr-anchor"><p>The New York Times Company is in talks&rdquo;exclusive negotations&rdquo; to get Letterboxd, the social network for movie lovers, for about $330 million, <a href="https://en.mycoding.id/category/technology" target="_blank"><em>The New York Times</em> reports</a>. The Times Company, Sony Pictures Entertainment, and A24 were all <a href="https://en.mycoding.id/category/technology" target="_blank">recently rumored</a> to be among those curious in purchasing Letterboxd.</p><p>The negotiations alongside the Times Company have included the possible for Letterboxd&rsquo;s co-founders to remain in accusation but study to a Times Company executive. Letterboxd would apt remain standalone for the &ldquo;foreseeable future,&rdquo; according to the <em>NYT</em>. The business would additionally merge the Times Company&rsquo;s ad tech.</p><p><em>NYT</em> spokesman Charlie Stadtlander declined to comment. Letterboxd and current genitor business Tiny Ltd. didn&rsquo;t immediately answer to a petition for comment from <em>The Verge</em>.</p><div><p>If the <em>NYT</em> does get Letterboxd, it would prosecute another important purchases akin <em>Wordle</em> (in a agreement in <a href="https://en.mycoding.id/category/technology" target="_blank">&ldquo;the low seven figures&rdquo;</a>), <em>Wirecutter</em> (&ldquo;<a href="https://en.mycoding.id/category/technology" target="_blank">slightly additional than $30 million&rdquo;</a>), and <em>The Athletic</em> (<a href="https://en.mycoding.id/category/technology" target="_blank">$550 million</a>).</p></div><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-dmcyOmF1dGhvclByb2ZpbGU6MTIz"><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>Jay Peters</span></span></span></li><li><li><li><li><li><li></ul></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/the-new-york-times-is-in-talks-to-buy-letterboxd-for-around-330-million-75876</guid> <pubDate>Fri, 06 Nov 2026 00:45:10 +0700</pubDate> <author><![CDATA[support@mycoding.id (Jay Peters)]]></author> </item> <item> <title><![CDATA[Brazilian Credit Guarantor Fund Data Breach Affecting PII and Payout Data]]></title> <description><![CDATA[Brazilian Credit Guarantor Fund Data Breach Affecting PII and Payout Data. Comments]]></description> <media:thumbnail url="https://en.mycoding.id/site/assets/img/og-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/brazilian-credit-guarantor-fund-data-breach-affecting-pii-and-payout-data-75882</link> <content:encoded><![CDATA[<div id="fragment-3b2d4b76-f868-058c-1c2e-a7dcb5f33cbb"> <div> <div> <div data-lfr-editable-id="paragrafo-texto" data-lfr-editable-type="rich-text" tabindex="0"><p>Atualiza&ccedil;&atilde;o em 05/11/2026.</p> <p>O FGC informa sobre um incidente de seguran&ccedil;a envolvendo dados pessoais tratados pela entidade e esclarece o que foi identificado, as provid&ecirc;ncias adotadas e os cuidados que recomendamos.</p> <p><br> Identificamos acesso n&atilde;o autorizado a informa&ccedil;&otilde;es pessoais em ambientes relacionados aos processos internos do fluxo de pagamento de garantia do FGC. At&eacute; o momento, n&atilde;o foi identificada nenhuma evid&ecirc;ncia de que os dados tenham sido divulgados ou utilizados de forma indevida. Tamb&eacute;m n&atilde;o foi identificada nenhuma perda financeira decorrente do evento. A investiga&ccedil;&atilde;o prossegue, com apoio de empresas especializadas, para esclarecer a extens&atilde;o do acesso e verificar se houve c&oacute;pia, divulga&ccedil;&atilde;o ou utiliza&ccedil;&atilde;o indevida das informa&ccedil;&otilde;es.</p> <p><br> A suspeita de incidente foi identificada em 26 de outubro de 2026. Desde ent&atilde;o, foram adotadas restri&ccedil;&otilde;es de acesso aos ambientes envolvidos, bloqueio de contas indevidas, preserva&ccedil;&atilde;o de evid&ecirc;ncias e revis&atilde;o das permiss&otilde;es e dos controles de seguran&ccedil;a.</p> <p><br> A Ag&ecirc;ncia Nacional de Prote&ccedil;&atilde;o de Dados (ANPD) foi devidamente comunicada, em conformidade com a legisla&ccedil;&atilde;o vigente. A apura&ccedil;&atilde;o continua, com apoio de especialistas, e as informa&ccedil;&otilde;es complementares pertinentes ser&atilde;o encaminhadas &agrave; Ag&ecirc;ncia conforme o avan&ccedil;o das investiga&ccedil;&otilde;es. Os titulares afetados tamb&eacute;m foram comunicados.</p> <p><br> Reunimos aqui as informa&ccedil;&otilde;es dispon&iacute;veis e confirmadas nesta etapa. Caso a apura&ccedil;&atilde;o identifique novos elementos relevantes relacionados a dados pessoais ou as medidas de prote&ccedil;&atilde;o, atualizaremos as orienta&ccedil;&otilde;es pelos canais oficiais.</p> <p><br> Quais dados foram afetados:</p> <ul> <li>Dados pessoais: nome, CPF, e-mail e data de nascimento;</li> <li>Dados relacionados ao pagamento da garantia: informa&ccedil;&otilde;es sobre os tributos retidos no pagamento e sobre o canal de distribui&ccedil;&atilde;o pelo qual o investimento garantido foi realizado na institui&ccedil;&atilde;o liquidada.<br> &nbsp;</li> </ul> </div> </div> </div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/brazilian-credit-guarantor-fund-data-breach-affecting-pii-and-payout-data-75882</guid> <pubDate>Fri, 06 Nov 2026 00:32:36 +0700</pubDate> <author><![CDATA[support@mycoding.id (Putri Silvia)]]></author> </item> <item> <title><![CDATA[T-Mobile owner on Elon Musk launching a wireless carrier: ‘Welcome to the party’]]></title> <description><![CDATA[T-Mobile owner on Elon Musk launching a wireless carrier: ‘Welcome to the party’. The caput of T-Mobile's genitor business is casting doubt on SpaceX's plans to create Starlink Mobile a "major" transporter in the US. During an earnings call on Thursda...]]></description> <media:thumbnail url="https://platform.theverge.com/wp-content/uploads/sites/2/2026/11/gettyimages-2259379374.jpg?quality=90&amp;strip=all&amp;crop=0%2C8.4168746032444%2C100%2C83.166250793511&amp;w=1200"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/t-mobile-owner-on-elon-musk-launching-a-wireless-carrier-welcome-to-the-party-75877</link> <content:encoded><![CDATA[<div><div><div><div><div><p><a href="https://en.mycoding.id/category/technology" target="_blank"><img alt="Emma Roth" data-chromatic="ignore" loading="lazy" width="36" height="36" decoding="async" data-nimg="1" srcset="https://platform.theverge.com/wp-content/uploads/sites/2/chorus/author_profile_images/195810/EMMA_ROTH.0.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=48 1x, https://platform.theverge.com/wp-content/uploads/sites/2/chorus/author_profile_images/195810/EMMA_ROTH.0.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=96 2x" src="https://platform.theverge.com/wp-content/uploads/sites/2/chorus/author_profile_images/195810/EMMA_ROTH.0.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=96"></a></p><div><p><span aria-expanded="false" aria-haspopup="true" role="button" tabindex="0"><span id="follow-author-standard_article_details-dmcyOmF1dGhvclByb2ZpbGU6MTE2"><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><span>Emma Roth</span></span></span></p> <p><span>is a news author who covers the streaming wars, person tech, crypto, social media, and much more. Previously, she was a author and publishing company at MUO.</span></p></div></div></div></div></div><div id="zephr-anchor"><p>The caput of T-Mobile&rsquo;s genitor business is casting doubt on SpaceX&rsquo;s plans to create Starlink Mobile a &ldquo;major&rdquo; transporter in the US. <a href="https://en.mycoding.id/category/technology" target="_blank">During an earnings call on Thursday</a>, Deutsche Telekom CEO Tim H&ouml;ttges says he takes the Elon Musk-owned business &ldquo;super serious,&rdquo; but that it volition disbursal at smallest $200 milliard to drag off:</p><div><blockquote><p>He [Musk] has now bought 76 megahertz of spectrum. By the way, we have 400. So if you now say he can buy the spectrum prospectively, do your math. These are benevolent of triple-digit billions which are needed to acquire the spectrum position. If he has the money, go for it. Then he has to build a network. I can inform you, we have 85,000 towers. No, he can rent towers, no question. But this is another $20 to $30 milliard which are required.</p><p>Put antennas on it. You can buy antennas&hellip; and you can get [them] perchance equal in a cheaper way, or you build it in a new way, but you need prosperity for that. So therefore, my appraisal is that SpaceX at smallest &mdash; if they desire to perform in that industry &mdash; needs at smallest minimum $200 billion. But equal beyond that, to perform in an industry which we have, let&rsquo;s say, professionalized complete the final 20 years &mdash; okay, greeted to the party.</p></blockquote></div><div><p>Last month, <a href="https://en.mycoding.id/category/technology" target="_blank">SpaceX laid out its plans for Starlink Mobile</a> to vie against T-Mobile, AT&amp;T, and Verizon by using a blend of direct-to-cell satellites and a terrestrial network. One latest study suggests that SpaceX <a href="https://en.mycoding.id/category/technology" target="_blank">could access 80,000 division towers</a> throughout the US, during another indicates that Musk was in talks to <a href="https://en.mycoding.id/category/technology" target="_blank">acquire Boost Mobile</a>. This week, <a href="https://en.mycoding.id/category/technology" target="_blank">Qualcomm announced that SpaceX</a> volition use its cellular infrastructure innovation to assistance Starlink Mobile&rsquo;s network buildout.</p></div><p>At the identical time, H&ouml;ttges is conscious of the possible danger Starlink Mobile could stance to the mobile industry by creating a &ldquo;new&rdquo; category of service.</p><p>&ldquo;He [Musk] has chipsets, he has data centers, he has AI, he has satellites&hellip; He volition go as fine for perchance integrating social media or at smallest delegate models into his service. So he is creating a new way of communication services,&rdquo; H&ouml;ttges says. &ldquo;That is why I&rsquo;m saying I obtain that excellent grave since I was witnessing what happened to the car industry. They were ignoring it for too long, and we have to visage the situation. But it&rsquo;s not a liberated lunch. And you see that alongside Tesla as fine in the car industry.&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-dmcyOmF1dGhvclByb2ZpbGU6MTE2"><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>Emma Roth</span></span></span></li><li><li><li><li><li><li><li></ul></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/t-mobile-owner-on-elon-musk-launching-a-wireless-carrier-welcome-to-the-party-75877</guid> <pubDate>Fri, 06 Nov 2026 00:17:10 +0700</pubDate> <author><![CDATA[support@mycoding.id (Emma Roth)]]></author> </item> <item> <title><![CDATA[Cuban: Facebook knowingly runs AI deepfake scam ads; docs say $16B fraud revenue]]></title> <description><![CDATA[Cuban: Facebook knowingly runs AI deepfake scam ads; docs say $16B fraud revenue. Comments]]></description> <media:thumbnail url="https://s.yimg.com/lo/mysterio/api/c7b9e208fd6dff01b9115dea6cf00d560e269c36a6987f309be6e79d843e306b/lightyear_networkapi/resizefill_w1200%3Bquality_80%3Bformat_webp/https%3A%2F%2Fmedia.zenfs.com%2Fen%2Fmoneywise_327%2F892777675c4b84ce45a666a8bfe1fb93.jpg"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/cuban-facebook-knowingly-runs-ai-deepfake-scam-ads-docs-say-16b-fraud-revenue-75878</link> <content:encoded><![CDATA[<div> <figure data-testid="article-figure-image"><div> <p><a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noopener noreferrer"><img src="image/gif;base64,R0lGODlhAQABAIAAAAAAAP///ywAAAAAAQABAAACAUwAOw==" alt="Mark Zuckerberg and Mark Cuban are in a spat complete social-media misinformation." height="540" width="960"></a></p></div> <figcaption>Andrew Harnik/Getty Images/Finn Gomez/Getty Images </figcaption> </figure> <p>Mark Cuban keeps getting emails concerning a $294 diabetes cure he has never sold. </p> <p>"Every sole week I get emails from small old men and ladies saying, 'Will my cure for diabetes work?' or 'I fair ordered your cure for diabetes for $294,'" the 68-year-old billionaire capitalist stated on an August event of<a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga='&quot;content-canvas default&quot;}' target="_blank" rel="noopener noreferrer nofollow"> Pivot</a>, the podcast hosted by Kara Swisher and Scott Galloway. </p> <h2 role="heading">Must Read </h2> <ul><li> <p>Jeff Bezos backs a phase that lets anyone allocate in rental homes for as small as $100 &mdash; <a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga='&quot;content-canvas default&quot;}' target="_blank" rel="noopener noreferrer nofollow">6 ways to build prosperity akin a landlord without really being one</a> </p> </li><li> <p>Dave Ramsey warns nearly 50% of Americans are making 1 big Social Security mistake.&nbsp;<a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga="&quot;content-canvas default&quot;}" target="_blank" rel="noopener noreferrer nofollow">Here's what it is and 3 uncomplicated steps to fix it ASAP</a> </p> </li><li> <p>A sole row on your car coverage guideline could be inflating your premium by up to 30% &mdash; <a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga="&quot;content-canvas default&quot;}" target="_blank" rel="noopener noreferrer nofollow">here's what to change</a> </p> </li> </ul> <p>Those ads are deepfakes built alongside an AI copy of his visage and voice, Cuban said, and Meta (NASDAQ:META) runs them anyway. "Facebook knows the small old ladies are getting ripped off," he said. He called the phase "the worst of the worst." </p> <h2 role="heading">The ads Cuban says Meta waves through </h2> <p>Cuban<a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga='&quot;content-canvas default&quot;}' target="_blank" rel="noopener noreferrer nofollow"> said</a> several of the ads equal contain a disclaimer admitting the individual on display is AI-generated and the clip is meant as entertainment. By the period anyone gets to it, he argued, the throw has already worked. "And to Facebook, that's fine enough," he said. </p> <p>"The item is, that defines the civilization of the organization," Cuban said. A business that lets scammers go following people's grandparents, he argued, has shown what it volition tolerate at all level. </p> <p>Cuban does run a medication business &mdash; he co-founded<a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga='&quot;content-canvas default&quot;}' target="_blank" rel="noopener noreferrer nofollow"> Cost Plus Drugs</a>, an online drugstore that sells low-cost generic medications. </p> <h2 role="heading">What Meta's documents showed </h2> <p>On Nov. 6, 2025,<a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga='&quot;content-canvas default&quot;}' target="_blank" rel="noopener noreferrer nofollow"> Reuters</a> reported on inner Meta documents showing the business expected approximately $16 billion, or concerning 10% of its 2024 revenue, to stream in from ads pushing scams and prohibited products. By Meta's own inner count, users throughout its apps were seeing several 15 milliard "higher risk" ads a day &mdash; the ones alongside apparent markers of fraud. One delayed 2024 document put that category's value at concerning $7 milliard a year. </p> <p>In a May 2025 presentation, Meta's own safety personnel estimated the company's platforms perform a part in a third of the scams that win in the U.S. Before Meta bans an advertiser, its automated systems must peg the document as at smallest 95% apt to be operating a scam,<a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga='&quot;content-canvas default&quot;}' target="_blank" rel="noopener noreferrer nofollow"> the documents say</a>. Below that threshold, the suspected scammer merely pays additional per ad and stays live. </p> <p>Meta spokesman Andy Stone<a href="https://en.mycoding.id/category/technology" target="_blank" data-ylk="content-canvas%20default" data-yga='&quot;content-canvas default&quot;}' target="_blank" rel="noopener noreferrer nofollow"> told Reuters</a> the documents "present a selective perspective that distorts Meta's method to fraud and scams," and called the company's 10% evaluation "rough and overly-inclusive." Complaints from users concerning scam ads had fallen 58% complete the previous 18 months, he stated at the time, and the business pulled downward additional than 134 myriad scam ads in 2025. The identical documents note the Securities and Exchange Commission is looking into Meta complete promotion tied to financial fraud. </p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/cuban-facebook-knowingly-runs-ai-deepfake-scam-ads-docs-say-16b-fraud-revenue-75878</guid> <pubDate>Fri, 06 Nov 2026 00:09:57 +0700</pubDate> <author><![CDATA[support@mycoding.id (Mira Azkia)]]></author> </item> <item> <title><![CDATA[What to Expect From Best Buy's Black Friday and Cyber Monday Sales This Year]]></title> <description><![CDATA[What to Expect From Best Buy's Black Friday and Cyber Monday Sales This Year. Best Buy has revenue going all the way to Christmas.]]></description> <media:thumbnail url="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/hero-image.png"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/what-to-expect-from-best-buy-s-black-friday-and-cyber-monday-sales-this-year-75875</link> <content:encoded><![CDATA[<div class="leading-normal prose-sm m-0 line-clamp-5 font-normal">Daniel is Lifehacker's Shopping Editor covering tech deals and reviewing TVs, headphones, speakers, and projectors. He earned his master’s in reporting from Columbia University and has reported for the Miami Herald. He lives in Atlanta.</div> <hr class="custom-gradient-background my-6 h-[6px] max-w-[75px] border-0"> <p>For all intents and purposes, <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank">Black Friday</a> revenue are already here. There are <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank">plenty of deals out</a> already, equal although we're weeks distant from the genuine event. One of the reasons for that is the competition retailers have alongside all another to be the archetypal to get your money. One of the retailers that is making the biggest first scatter is <a href="https://en.mycoding.id/category/technology" target="_blank" rel="nofollow sponsored" target="_blank" title="open in a new window">Best Buy</a>, <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" title="open in a new window" rel="noopener">confirming their complete plan</a> for the remainder of the year. Here's what you need to know.</p><h2 id="what-is-best-buy-doing-for-black-friday-and-cyber-monday-2026">What is Best Buy doing for Black Friday and Cyber Monday 2026?</h2><p>Best Buy has announced the following events:</p><ul><li><p><strong>DoorBoosters</strong>: A Halloween transaction from Oct. 30 to Nov. 1.</p></li><li><p><strong>Early Black Friday Deals and Doorbusters: </strong>The authoritative commencement of first Black Friday deals on Nov. 6. New deals volition autumn all Friday.  </p></li><li><p><strong>Black Friday Doorbusters and Deals</strong>: Best Buy says this volition be its chief sale, starting on Thursday, Nov. 19 and operating until Nov. 28 alongside deals on "computing, gaming, residence theater, wearables, and more."</p></li><li><p><strong>Cyber Sunday and Monday</strong>: Best Buy is extending Cyber Monday to five days and says you can discover deals going up to 50% off choose tech.</p></li><li><p><strong>Last-minute savings</strong>: The Christmas transaction volition run from Dec. 18 until Dec. 24.</p></li></ul><h2 id="do-you-need-to-be-a-member-to-shop-best-buys-sale">Do you need to be a associate to shop Best Buy's sale?</h2><p>You don't need to be any benevolent of associate to shop Best Buy's Black Friday in July sale; however, it is <a href="https://en.mycoding.id/category/technology" target="_blank" rel="nofollow sponsored" target="_blank" title="open in a new window">free to sign up for a My Best Buy membership</a><a href="https://en.mycoding.id/category/technology" target="_blank" rel="nofollow sponsored" target="_blank" title="open in a new window">,</a> which volition get you liberated shipping. If you associate one of their paid subscriptions (My Best Buy Plus for $49.99 per twelvemonth or My Best Buy Total for $179.99 per year), you'll get faster liberated shipping, exclusive prices and deals, an extended 60-day come back opening on most products, and admission to choose sales, akin the <a href="https://en.mycoding.id/category/technology" target="_blank" rel="nofollow sponsored" target="_blank" title="open in a new window">Member Deals Days sale</a> that is going on correct now. Paid members volition additionally acquire additional rewards from the two the current transaction and the upcoming Black Friday in July sale.</p><h2 id="what-deals-can-i-expect-during-best-buys-black-friday-and-cyber-monday-sale">What deals can I anticipate during Best Buy's Black Friday and Cyber Monday sale?</h2><p>You can discover deals on TVs, laptops, headphones, video games, electric bikes, and more. There volition be new deals all week in stores, on its website, and in the <a href="https://en.mycoding.id/category/technology" target="_blank" rel="nofollow sponsored" target="_blank" title="open in a new window">Best Buy mobile app</a>. They'll recommendation cost matching, definition if the cost drops additional during the transaction (Dec. 24), they volition equivalent it and recommendation a refund.</p><div class="py-0" data-ga-click data-ga-template="Deals" data-ga-module="openweb_widget" data-ga-element="openweb_scroll" data-ga-item="openweb_scroll_midpage" x-data="&#039;, e); } } }" x-init="fetchCommentsCount()" x-cloak> <div class="absolute top-1/2 hidden w-full -translate-y-1/2 border-t-[1.5px] border-dashed border-black sm:block"></div> <div class="relative flex justify-center"> <div class="flex max-w-fit items-center gap-x-3 bg-white px-5"> <div class="relative"> <span class="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2 font-akshar text-sm font-medium text-black" aria-live="polite" x-show="hasComments" x-text="commentsCount"></span> <svg class="h-8 w-8 text-black" role="img" aria-hidden="true"> </svg> </div> <span class="text-sm font-medium text-black"> What do you think so far? </span> </div> </div> </div> <h2 id="the-best-deals-during-best-buys-black-friday-so-far">The finest deals during Best Buy's Black Friday (so far)</h2><p>Here are the finest deals I've established so far. I'll be updating these deals throughout the sale, so create certain to arrive rear and see what's new. Remember that new deals autumn all day.</p><div class="shadow-b-2 mb-12 mt-10 rounded-md border-2 border-[#F0F0F0] px-6 py-2 shadow-lg md:px-12" role="region" aria-label="Products List" x-data=" false }"> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label="Apple - AirTag 4 group (2nd generation) - 2026" data-ga-position="1" aria-label="Apple - AirTag 4 group (2nd generation) - 2026 Product Card" x-cloak="x-cloak" x-show="showMore || 0 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> Apple - AirTag 4 group (2nd generation) - 2026 </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $79.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$99.00</span> <span class="text-sm text-brand-green">Save $19.01</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-1.fill.size_autoxauto.v1793915742.png" alt="Apple - AirTag 4 group (2nd generation) - 2026" width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $79.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$99.00</span> <span class="text-sm text-brand-green">Save $19.01</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label="LG - 30-in Wide 6.3 Cu. Ft. Freestanding Electric Convection Smart Range" data-ga-position="2" aria-label="LG - 30-in Wide 6.3 Cu. Ft. Freestanding Electric Convection Smart Range Product Card" x-cloak="x-cloak" x-show="showMore || 1 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> LG - 30-in Wide 6.3 Cu. Ft. Freestanding Electric Convection Smart Range </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $599.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$999.99</span> <span class="text-sm text-brand-green">Save $400.00</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-2.fill.size_autoxauto.v1793916017.png" alt="LG - 30-in Wide 6.3 Cu. Ft. Freestanding Electric Convection Smart Range" width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $599.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$999.99</span> <span class="text-sm text-brand-green">Save $400.00</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label='TCL - 50&quot; Class QM6K Series 4K UHD HDR QD Mini LED Smart TV alongside Google TV alongside Gemini (2025)' data-ga-position="3" aria-label='TCL - 50&quot; Class QM6K Series 4K UHD HDR QD Mini LED Smart TV alongside Google TV alongside Gemini (2025) Product Card' x-cloak="x-cloak" x-show="showMore || 2 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> TCL - 50" Class QM6K Series 4K UHD HDR QD Mini LED Smart TV alongside Google TV alongside Gemini (2025) </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $429.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$749.99</span> <span class="text-sm text-brand-green">Save $320.00</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-3.fill.size_autoxauto.v1793916017.png" alt='TCL - 50&quot; Class QM6K Series 4K UHD HDR QD Mini LED Smart TV alongside Google TV alongside Gemini (2025)' width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $429.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$749.99</span> <span class="text-sm text-brand-green">Save $320.00</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label='LG - 65&quot; Class C6 OLED evo AI 4K Smart webOS TV alongside Perfect Black, Perfect Color and Brightness Booster (2026)' data-ga-position="4" aria-label='LG - 65&quot; Class C6 OLED evo AI 4K Smart webOS TV alongside Perfect Black, Perfect Color and Brightness Booster (2026) Product Card' x-cloak="x-cloak" x-show="showMore || 3 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> LG - 65" Class C6 OLED evo AI 4K Smart webOS TV alongside Perfect Black, Perfect Color and Brightness Booster (2026) </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $1,399.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$2,699.99</span> <span class="text-sm text-brand-green">Save $1,300.00</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-4.fill.size_autoxauto.v1793916017.png" alt='LG - 65&quot; Class C6 OLED evo AI 4K Smart webOS TV alongside Perfect Black, Perfect Color and Brightness Booster (2026)' width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $1,399.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$2,699.99</span> <span class="text-sm text-brand-green">Save $1,300.00</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label='Pioneer - 50&quot; Class LED 4K UHD Smart Roku TV' data-ga-position="5" aria-label='Pioneer - 50&quot; Class LED 4K UHD Smart Roku TV Product Card' x-cloak="x-cloak" x-show="showMore || 4 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> Pioneer - 50" Class LED 4K UHD Smart Roku TV </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $199.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$249.99</span> <span class="text-sm text-brand-green">Save $50.00</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-5.fill.size_autoxauto.v1793916017.png" alt='Pioneer - 50&quot; Class LED 4K UHD Smart Roku TV' width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $199.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$249.99</span> <span class="text-sm text-brand-green">Save $50.00</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label='Samsung - 75&quot; Class M70H Series Mini LED 4K UHD SamsungVision AI Smart Tizen TV (2026)' data-ga-position="6" aria-label='Samsung - 75&quot; Class M70H Series Mini LED 4K UHD SamsungVision AI Smart Tizen TV (2026) Product Card' x-cloak="x-cloak" x-show="showMore || 5 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> Samsung - 75" Class M70H Series Mini LED 4K UHD SamsungVision AI Smart Tizen TV (2026) </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $499.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$729.99</span> <span class="text-sm text-brand-green">Save $230.00</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-6.fill.size_autoxauto.v1793916418.png" alt='Samsung - 75&quot; Class M70H Series Mini LED 4K UHD SamsungVision AI Smart Tizen TV (2026)' width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $499.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$729.99</span> <span class="text-sm text-brand-green">Save $230.00</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label='Lenovo - IdeaPad Slim 3 Chromebook Laptop - 14&quot; Full HD Touchscreen Laptop - MediaTek Kompanio 520 2022 - 4GB Memory - 64GB eMMC - Abyss Blue' data-ga-position="7" aria-label='Lenovo - IdeaPad Slim 3 Chromebook Laptop - 14&quot; Full HD Touchscreen Laptop - MediaTek Kompanio 520 2022 - 4GB Memory - 64GB eMMC - Abyss Blue Product Card' x-cloak="x-cloak" x-show="showMore || 6 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> Lenovo - IdeaPad Slim 3 Chromebook Laptop - 14" Full HD Touchscreen Laptop - MediaTek Kompanio 520 2022 - 4GB Memory - 64GB eMMC - Abyss Blue </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $254.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$299.99</span> <span class="text-sm text-brand-green">Save $45.00</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-7.fill.size_autoxauto.v1793916418.png" alt='Lenovo - IdeaPad Slim 3 Chromebook Laptop - 14&quot; Full HD Touchscreen Laptop - MediaTek Kompanio 520 2022 - 4GB Memory - 64GB eMMC - Abyss Blue' width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $254.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$299.99</span> <span class="text-sm text-brand-green">Save $45.00</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label='HP - OmniBook 3 16&quot; 2K Touchscreen Laptop - AMD Ryzen 5 40 (2025) - 8GB Memory - 256GB SSD - Glacier Silver' data-ga-position="8" aria-label='HP - OmniBook 3 16&quot; 2K Touchscreen Laptop - AMD Ryzen 5 40 (2025) - 8GB Memory - 256GB SSD - Glacier Silver Product Card' x-cloak="x-cloak" x-show="showMore || 7 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> HP - OmniBook 3 16" 2K Touchscreen Laptop - AMD Ryzen 5 40 (2025) - 8GB Memory - 256GB SSD - Glacier Silver </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $429.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$779.99</span> <span class="text-sm text-brand-green">Save $350.00</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-8.fill.size_autoxauto.v1793916418.png" alt='HP - OmniBook 3 16&quot; 2K Touchscreen Laptop - AMD Ryzen 5 40 (2025) - 8GB Memory - 256GB SSD - Glacier Silver' width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $429.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$779.99</span> <span class="text-sm text-brand-green">Save $350.00</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7 border-b-2" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label="Sony - WH-1000XM5 Wireless Noise Cancelling Over-the-Ear Headphones - Black" data-ga-position="9" aria-label="Sony - WH-1000XM5 Wireless Noise Cancelling Over-the-Ear Headphones - Black Product Card" x-cloak="x-cloak" x-show="showMore || 8 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> Sony - WH-1000XM5 Wireless Noise Cancelling Over-the-Ear Headphones - Black </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $199.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$398.00</span> <span class="text-sm text-brand-green">Save $198.01</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-9.fill.size_autoxauto.v1793916418.png" alt="Sony - WH-1000XM5 Wireless Noise Cancelling Over-the-Ear Headphones - Black" width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $199.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$398.00</span> <span class="text-sm text-brand-green">Save $198.01</span> </div> </div> </a> <a href="https://en.mycoding.id/category/technology" target="_blank" data-commerce="1" target="_blank" rel="nofollow sponsored" data-parent-group="affiliate-link" title="(opens in a new window)" class="flex flex-col py-8 gap-5 border-dotted border-[#CFCFCE] cursor-default no-underline md:flex-row md:gap-y-2 md:py-7" data-ga-click="data-ga-click" data-ga-module="product-list" data-ga-element="offer" data-ga-item="offer-btn" data-ga-label="Shokz - OpenDots ONE Open-Ear Clip On True Wireless Bluetooth Earbuds - Black" data-ga-position="10" aria-label="Shokz - OpenDots ONE Open-Ear Clip On True Wireless Bluetooth Earbuds - Black Product Card" x-cloak="x-cloak" x-show="showMore || 9 &lt; 3"> <div class="flex w-full gap-x-5"> <div class="gap-y-6"> <div class="gap-y-1"> <div class="leading-6"> Shokz - OpenDots ONE Open-Ear Clip On True Wireless Bluetooth Earbuds - Black </div> </div> <div class="gap-x-4"> <div class="justify-center font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $169.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$199.99</span> <span class="text-sm text-brand-green">Save $30.00</span> </div> </div> Get Deal </div> </div> <div class="order-1"> <img class="m-0 max-h-full max-w-full rounded-md" src="https://lifehacker.com/imagery/articles/01M6PVBT1AQZCDFJKV7T68456D/images-10.fill.size_autoxauto.v1793916418.png" alt="Shokz - OpenDots ONE Open-Ear Clip On True Wireless Bluetooth Earbuds - Black" width="auto" height="auto" loading="lazy"> </div> </div> Get Deal <div class="hidden font-sans leading-4 text-black"> <div class="justify-start"> <span class="font-bold"> $169.99 <span class="font-medium">at Best Buy</span> </span> </div> <div class="justify-start"> <span class="text-sm line-through">$199.99</span> <span class="text-sm text-brand-green">Save $30.00</span> </div> </div> </a> SEE 7 MORE <svg class="-mt-[2px] inline-block size-3 fill-current text-brand-green"> </svg> </div> <p></p> <div class="leading-normal prose-sm mt-4 line-clamp-2"> <p></p><p>Covering tech deals and reviewing TVs, headphones, speakers, and projectors.</p><p><br></p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/what-to-expect-from-best-buy-s-black-friday-and-cyber-monday-sales-this-year-75875</guid> <pubDate>Thu, 05 Nov 2026 23:31:19 +0700</pubDate> <author><![CDATA[support@mycoding.id (Daniel Oropeza)]]></author> </item> <item> <title><![CDATA[Claude Code sends your email address to websites]]></title> <description><![CDATA[Claude Code sends your email address to websites. Comments]]></description> <media:thumbnail url="https://opengraph.githubassets.com/70b9c187ecdff2e60fdb55f072b6f8d4c4b8be26b75ca9f3d5324abf030e4524/anthropics/claude-code/issues/107757"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/claude-code-sends-your-email-address-to-websites-75873</link> <content:encoded><![CDATA[<div id="issue-body-viewer" data-testid="issue-body-viewer"><div data-testid="markdown-body" data-team-hovercards-enabled="true" data-turbolinks="false"><div><p dir="auto"><strong>Bug Description</strong></p> <p dir="auto">I obtain dozens of scam emails per day since claude code divulged my email to arbitrary 3rd parties in the User-Agent petition header during conducting web searches without my permission. This should not be a environment alongside opt-out or opt-in behavior, it needs to be removed from the harness entirely. It is not for the fine of anyone involved: it does nothing for services which dislike agentic traffic, does not maintain my anonymity on the web, and is a goldmine for scammers. I am migrating my business to Pi alongside OpenRouter since I have no belief in anthropic preserving my privacy.</p> <p dir="auto"><strong>Environment Info</strong></p> <ul dir="auto"> <li>Platform: darwin</li> <li>Terminal: tmux</li> <li>Version: 2.1.318</li> <li>Feedback ID: f81eb83d-9b95-4788-8773-d3fae8f0cec4</li> </ul></div></div><div><div role="toolbar" aria-label="Reactions"><p><span id="_R_ral4utkr85H2_">Reacted by Klughertz Jonathan, Netkas, Sebastian Hooker, ryanlsmith, Tyler Coffman, InventorBlack, TacoDevs, Luis Diaz, Dan Avery, wei and 13 more</span></p></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/claude-code-sends-your-email-address-to-websites-75873</guid> <pubDate>Thu, 05 Nov 2026 23:17:15 +0700</pubDate> <author><![CDATA[support@mycoding.id (Mira Azkia)]]></author> </item> <item> <title><![CDATA[Salon is shutting down after 31 years]]></title> <description><![CDATA[Salon is shutting down after 31 years. Salon launched 31 years ago as among the archetypal online-only news mag outlets, and it announced today in an unsigned article that it's ceasing publication. The...]]></description> <media:thumbnail url="https://platform.theverge.com/wp-content/uploads/sites/2/2026/11/Screenshot-2026-11-05-at-1.59.05-PM.png?quality=90&amp;strip=all&amp;crop=0%2C9.2978621867803%2C100%2C81.404275626439&amp;w=1200"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/salon-is-shutting-down-after-31-years-75872</link> <content:encoded><![CDATA[<div><div><div><div><div><p><a href="https://en.mycoding.id/category/technology" target="_blank"><img alt="Jay Peters" data-chromatic="ignore" loading="lazy" width="36" height="36" decoding="async" data-nimg="1" srcset="https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=48 1x, https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=96 2x" src="https://platform.theverge.com/wp-content/uploads/sites/2/2025/01/JAY_BLURPLE.jpg?quality=90&amp;strip=all&amp;crop=0%2C0%2C100%2C100&amp;w=96"></a></p><div><p><span aria-expanded="false" aria-haspopup="true" role="button" tabindex="0"><span id="follow-author-standard_article_details-dmcyOmF1dGhvclByb2ZpbGU6MTIz"><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><span>Jay Peters</span></span></span></p> <p><span>is a elder newsman covering technology, gaming, and more. He joined The Verge in 2019 following nearly two years at Techmeme.</span></p></div></div></div></div></div><div id="zephr-anchor"><p><em>Salon</em> launched 31 years ago as among the archetypal online-only news mag outlets, and it <a href="https://en.mycoding.id/category/technology" target="_blank">announced today in an unsigned post</a> that it&rsquo;s ceasing publication.</p><p>The business stated that the &ldquo;business realities of autonomous digital reporting have changed deeply complete the years,&rdquo; and it decided that its publishing example is &ldquo;no longer sustainable.&rdquo; It didn&rsquo;t go into item concerning why, but many websites are grappling alongside <a href="https://en.mycoding.id/category/technology" target="_blank">&ldquo;Google Zero&rdquo;</a> and the <a href="https://en.mycoding.id/category/technology" target="_blank">impact of AI tools</a>. When reached for comment, <em>Salon</em> broad director Amanda Wolfe pointed <em>The Verge</em> to today&rsquo;s notice post.</p><p>&ldquo;Thirty-one years is a notable run, but what matters most is what happened during those years: the journalism, the ideas, the voices, the conversations and the community that grew about them,&rdquo; <em>Salon</em> stated in its post. &ldquo;Salon helped display what digital reporting could be and could become. We anticipation that bequest volition continue to matter lengthy following today.&rdquo;</p><p>On Bluesky, <em>Salon</em> chief satisfied authoritative Erin Keane <a href="https://en.mycoding.id/category/technology" target="_blank">says that</a> the editorial archive volition &ldquo;stay live for now.&rdquo;</p><p>Current <em>Salon</em> owner <a href="https://en.mycoding.id/category/technology" target="_blank">Find.co</a> acquired Salon <a href="https://en.mycoding.id/category/technology" target="_blank">in 2023</a> and describes itself as a &ldquo;Performance Marketing Ecosystem transforming crypto promotion alongside achievement and precision.&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-dmcyOmF1dGhvclByb2ZpbGU6MTIz"><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>Jay Peters</span></span></span></li><li><li><li></ul></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/salon-is-shutting-down-after-31-years-75872</guid> <pubDate>Thu, 05 Nov 2026 23:08:14 +0700</pubDate> <author><![CDATA[support@mycoding.id (Jay Peters)]]></author> </item> <item> <title><![CDATA[Everyone Has AI Now. Your Next Competitive Advantage Is the People You’re Ignoring.]]></title> <description><![CDATA[Everyone Has AI Now. Your Next Competitive Advantage Is the People You’re Ignoring.. AI is no longer a differentiator in the workplace. Human computing power (in collaboration alongside AI) is the new focus.]]></description> <media:thumbnail url="https://www.entrepreneur.com/wp-content/uploads/sites/2/2026/10/ai-and-team-advantage-1026_g2277148146.jpg"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/everyone-has-ai-now-your-next-competitive-advantage-is-the-people-you-re-ignoring-75887</link> <content:encoded><![CDATA[<p> Opinions expressed by Entrepreneur contributors are their own. </p><div> <div> <h2>Key Takeaways</h2> <ul> <li>Leaders need to comprehend the difference between AI and individual productivity.</li> <li>AI is already being normalized in the workplace. Successfully pairing it alongside individual workforces is the next stage leaders should have on their radar.</li> <li>Leaders need to halt seeing the AI/human blend as a way to use computers to get &ldquo;more.&rdquo; Start seeing it as a way to use humans to create that &ldquo;more&rdquo; better.</li> </ul> </div> <p>Everyone is in <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">an unavoidable race</a> to develop, deploy and merge AI solutions that provision their endeavor operations an edge. The difficulty, at this point, is that AI is accessible to everyone. Yes, one individual can use it additional efficiently than the next, but as a new generation of AI-native workers enters the workforce, the &ldquo;we use AI improved than the next guy&rdquo; advantage is shrinking.</p> <p>Thoughtful leaders have to be using AI, but during it can automate tasks, it can&rsquo;t eliminate distractions, enhance conversations or alter how group cognition the spaces anywhere they work. As this new digital transformation charges ahead, many teams are overlooking the bodily environments that quietly form their individual achievement all day.&nbsp;</p> <p>When you stage back, it&rsquo;s uncomplicated to see that AI acceptance is no longer the game-changing aspect it formerly was. Instead, office scheme is the next rivalrous differentiator that volition assistance individual teams <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">amplify their AI outputs</a> the best.</p> <h2 id="h-ai-and-workplace-design-solve-different-problems">AI and office scheme resolve distinct problems</h2> <p>AI has many functions and the catalog of its capabilities is expanding all the time. It&rsquo;s <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">hyper-efficient</a>. It&rsquo;s fine at synthesizing data. It&rsquo;s cost-effective and can measure without much trouble.</p> <p>But it is motionless software. It&rsquo;s controlled by algorithms. It&rsquo;s trapped in a device (even the &ldquo;Cloud&rdquo; has to run off bodily data centers). That method it can&rsquo;t location many of the bodily individual needs in the office akin whenever it comes to how group run and collaborate.</p> <h2 id="h-the-growing-value-of-human-concentration-and-communication">The expanding value of individual concentration and communication</h2> <p>As AI advances, the computing power of the individual brain is the part of the equation that is starting to rotate into a deciding factor. The speed (or deficiency thereof) at which humans can use AI can quickly rotate into a limiting aspect in its impact.</p> <p>The battle is that it isn&rsquo;t digital computing power but bodily environments that have the most power on cognitive performance. For instance, <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">Harvard School of Public Health</a> established that uncomplicated things akin improved indoor air norm can power awareness and, by extension, productivity.&nbsp;</p> <p>Something akin agency air contamination isn&rsquo;t a aspect that Claude can compute, or Gemini can jerry-rig. It requires bodily solutions and a individual intellect to design, create and deploy.&nbsp;</p> <p>It&rsquo;s crucial to change mindsets current whenever it comes to agency environments. Buying that air purifier, for example, isn&rsquo;t fair a health advantage carried complete from the former few years of harmless distancing. It&rsquo;s a chance to enhance the thinking and achievement of your team.&nbsp;</p> <p>That&rsquo;s your archetypal step. Stop seeing essential agency ecological things akin improved lighting or cleaner air and h2o as essential requirements. Look at them as investments that provision you an edge.</p> <h2 id="h-why-leading-organizations-are-investing-in-overlooked-competitive-advantages">Why foremost organizations are investing in overlooked rivalrous advantages</h2> <p>It&rsquo;s essential that leaders acknowledge how the advantages are shifting. Three years ago, using AI whenever a competitor wasn&rsquo;t doing so was a apparent advantage. Now, everyone has AI, but those alongside the finest individual activity environments have the finest chance at creating a synergistic advantage through the blend of their device and individual elements.&nbsp;</p> <p>Investing in overlooked rivalrous advantages akin spotless air, low sound, improved lighting and another office scheme elements can help:</p> <ul> <li>Improve concentration and decrease distractions</li> <li>Strengthen collaboration through purposeful spatial design</li> <li>Support well-being and consequent productivity</li> <li>Bolster employee fulfillment and, thus, loyalty and retention</li> <li>Create a endowment magnet through a additional desirable workplace</li> </ul> <p>All of these are additional than employee benefits. They are rivalrous advantages that addition achievement through environments that are not fair AI-powered but are additionally human-aligned.&nbsp;</p> <p>The key is finding ways to merge individual advantages in a workspace that are as low-lift as possible. Take audio as an example. How noisy or &ldquo;noisy&rdquo; a area is volition effect people&rsquo;s concentration. What makes a area &ldquo;noisy&rdquo; is item called <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">reverberation time</a>, explains RPG Acoustical System, which is the amount of period it takes for audio waves to get below certain decibels. The longer it takes, the noisier a area sounds.</p> <p>Leaders can obtain this into deliberation whenever designing or arranging workspaces. They can create audio waves decrease additional quickly through the use of sound-absorbing elements, specified as rugs or fabrics hung on the wall, timber furnishings pieces and autumn ceilings.&nbsp;&nbsp;</p> <h2 id="h-work-quality-is-the-new-benchmark">Work norm is the new benchmark</h2> <p>AI in the office is concerning <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">more than productivity</a>. Artificial intellect is hyper-productive in a way that humans are fair starting to comprehend. It can create at specified a prodigious flat that, in most areas of work, the need to have additional output won&rsquo;t be the issue moving forward.&nbsp;</p> <p>Instead, employers have to be designing workplaces that assistance improved work. As machines crank up the output in nearly all activity environment, the offices alongside the highest-performing individual workers volition have the finest chance of producing the highest-quality work. This makes optimizing individual awareness and collaboration a priority.</p> <p>It is an advantage that few leaders are thinking concerning as everyone races to allocate additional in the latest AI solutions. Don&rsquo;t halt investing in AI, but commencement thinking concerning <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">your individual workers</a> again, too. Investing in overlooked areas akin office scheme can be the quiescent way to provision yourself an advantage in the AI/human earth that is unfolding.</p> </div><div> <div> <h2>Key Takeaways</h2> <ul> <li>Leaders need to comprehend the difference between AI and individual productivity.</li> <li>AI is already being normalized in the workplace. Successfully pairing it alongside individual workforces is the next stage leaders should have on their radar.</li> <li>Leaders need to halt seeing the AI/human blend as a way to use computers to get &ldquo;more.&rdquo; Start seeing it as a way to use humans to create that &ldquo;more&rdquo; better.</li> </ul> </div> <p>Everyone is in <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">an unavoidable race</a> to develop, deploy and merge AI solutions that provision their endeavor operations an edge. The difficulty, at this point, is that AI is accessible to everyone. Yes, one individual can use it additional efficiently than the next, but as a new generation of AI-native workers enters the workforce, the &ldquo;we use AI improved than the next guy&rdquo; advantage is shrinking.</p> <p>Thoughtful leaders have to be using AI, but during it can automate tasks, it can&rsquo;t eliminate distractions, enhance conversations or alter how group cognition the spaces anywhere they work. As this new digital transformation charges ahead, many teams are overlooking the bodily environments that quietly form their individual achievement all day.&nbsp;</p> <p>When you stage back, it&rsquo;s uncomplicated to see that AI acceptance is no longer the game-changing aspect it formerly was. Instead, office scheme is the next rivalrous differentiator that volition assistance individual teams <a href="https://en.mycoding.id/category/technology" target="_blank" target="_blank" rel="noreferrer noopener">amplify their AI outputs</a> the best.</p> </div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/everyone-has-ai-now-your-next-competitive-advantage-is-the-people-you-re-ignoring-75887</guid> <pubDate>Thu, 05 Nov 2026 23:00:00 +0700</pubDate> <author><![CDATA[support@mycoding.id (Kimberly Zhang)]]></author> </item> <item> <title><![CDATA[The midterms proved once and for all that X is not real life]]></title> <description><![CDATA[The midterms proved once and for all that X is not real life. A week before the midterm elections, Vice President JD Vance hosted a town hall in Texas alongside Fox News presenter Jesse Watters. It was a affable event alongside a friend...]]></description> <media:thumbnail url="https://platform.theverge.com/wp-content/uploads/sites/2/chorus/uploads/chorus_asset/file/25532395/STK204_JD_VANCE_B.jpg?quality=90&amp;strip=all&amp;crop=0%2C9.9676601489831%2C100%2C80.064679702034&amp;w=1200"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/the-midterms-proved-once-and-for-all-that-x-is-not-real-life-75864</link> <content:encoded><![CDATA[<div id="zephr-anchor"><p>A week before the midterm elections, Vice President JD Vance hosted a town hall in Texas alongside Fox News presenter Jesse Watters. It was a affable event alongside a affable spectators in what should have been a affable state, and perchance that&rsquo;s why Vance couldn&rsquo;t assistance himself. When a university pupil earnestly asked how the correct expected young group akin her to resolve downward and have kids, stated the ever-growing disbursal of living, Vance replied alongside a quip concerning <a href="https://en.mycoding.id/category/technology" target="_blank">Jon Husted&rsquo;s ass</a>.</p><p>The student, Kate White, introduced herself as the vice chairman of the Texas Christian University division of Turning Point USA, the traditional collection started by Donald Trump partner Charlie Kirk. She was offering Vance an chance to explain how MAGA could activity for young people, and he turned it into a joke. Vance did eventually answer the question, saying Republicans don&rsquo;t pay adequate notice to the matter of affordability and blaming rising accommodation expenses on organizational investors and the &ldquo;20 myriad forbidden aliens&rdquo; supposedly living in the United States. But the command of operations revealed the fatal flaw of Republicans&rsquo; 2026 strategy: Everything is a gag to them, and they&rsquo;re way too online.</p><p>For the former decade, Republicans have adhered to Steve Bannon&rsquo;s maxim that government is downstream from culture. This fixation alongside liberals&rsquo; alleged grasp of choose institutions has animated the right&rsquo;s war against Big Tech and in particular social media platforms &mdash; which the correct claims actively silenced traditional voices &mdash; and its crusade against diversity, equity, and inclusion. With his acquisition of X, Elon Musk eventually succeeded in construction a traditional phase anywhere right-wing voices not lone had genuine power but additionally a straightforward row to those in power. More recently, several group <a href="https://en.mycoding.id/category/technology" target="_blank">have claimed</a> that Musk&rsquo;s X is the lone social media that really represents the people, dissimilar platforms akin Bluesky, which have additional left-leaning person bases.</p><p>Cocooned in their online echo chamber, MAGA figureheads convinced themselves the community was on their side, equal whenever polling suggested otherwise. They ignored their base&rsquo;s valid concerns concerning affordability and served them nonsensical memes instead. And they unsuccessful spectacularly in the realm anywhere it really mattered: <em>politics</em>. X, we can now province formerly and for all, is not genuine life. Republicans not lone misplaced historically red states akin Texas, Kansas, and South Carolina, but barely managed to win Florida. The Senate competition in Mississippi, of all places, is motionless too near to call.</p><p>Vance, especially, is a animal of X, anywhere his following catalog includes specified illustrious accounts as Raw Egg Nationalist, Bronze Age Pervert, Howling Mutant, and Captive Dreamer. But White House aides, division employees, and Hill staffers are stewing in the identical ecosystem. Writer John Ganz has termed this event &ldquo;groyperfication,&rdquo; following followers of influencer Nick Fuentes, who call themselves groypers. This is a helpful shorthand, although Fuentes&rsquo; fans are <a href="https://en.mycoding.id/category/technology" target="_blank">mostly too NEET-pilled</a> to district jobs on the Hill. American Moment, a footwear campsite for young traditional up-and-comers, <a href="https://en.mycoding.id/category/technology" target="_blank">reportedly screens out groypers</a>. There&rsquo;s a genuine need for specified protective measures. Kingsley Wilson, the hard-right media administrator for the Department of War (or per its lawful name, Defense), has posted <a href="https://en.mycoding.id/category/technology" target="_blank">antisemitic conspiracy theories</a> concerning Leo Frank, a Jewish man who was lynched in Georgia 1915 for allegedly raping a teenage girl. (Historians mostly accept Frank was innocent.) The Department of Homeland Security regularly posts fascist fancams and <a href="https://en.mycoding.id/category/technology" target="_blank">wink-wink references</a> to pale supremacist memes.</p><p>Republicans saw their 2024 triumph as a mandate. Having clawed the White House and Congress rear from Democrats, they assumed the community was on commission alongside MAGA&rsquo;s traditional project whenever in fact group were mostly mad concerning the cost of eggs. And alongside two years of control under their belt, they decided to go equal harder on culture, not realizing &mdash; or perchance fair not caring &mdash; that group are <em>still</em> mad concerning gas prices and groceries.</p><div><div><p>Cocooned in their online echo chamber, MAGA figureheads convinced themselves the community was on their side, equal whenever polling suggested otherwise.</p></div></div><p>In the run-up to the midterms, the Department of Education was <a href="https://en.mycoding.id/category/technology" target="_blank">posting concerning &ldquo;Malfoid&rdquo;</a> &mdash; a gender-swapped type of Draco Malfoy from <em>Harry Potter</em> that far-right influencers claimed would preserve Western writings from the scourge of wokeness. The Department of Homeland Security was bragging concerning document lows in <em>legal</em> immigration, which exterior pale nationalist circles is typically not considered a negative thing. Pseudonymous shitposters akin Howling Mutant were posting memes <a href="https://en.mycoding.id/category/technology" target="_blank">comparing themselves to noted kid murderer Anakin Skywalker</a>, the new avatar for the online right. Musk, a Republican megadonor, got in on the fun, as did Katie Miller, spouse of ultranationalist White House adviser Stephen Miller, who adorned as Anakin&rsquo;s spouse Padm&eacute; Amidala for Halloween. (Katie Miller&rsquo;s final authorities function was advising Elon Musk&rsquo;s unsuccessful Department of Government Efficiency; now she devotes her period to <a href="https://en.mycoding.id/category/technology" target="_blank">throwing lavish parties</a> and <a href="https://en.mycoding.id/category/technology" target="_blank">hosting a podcast no one listens to</a>.)</p><p>Most of the American community isn&rsquo;t on X, but the conversations conservatives have there do bleed out into the mainstream &mdash; frequently alongside disastrous results. Bo French, the Republican applicant for Texas railroad commissioner, misplaced his ballot by a huge border following <a href="https://en.mycoding.id/category/technology" target="_blank">posting anti-Indian memes</a> on X. (Asian American voters, including Indian Americans, <a href="https://en.mycoding.id/category/technology" target="_blank">moved to the left</a> in Texas elections downward the ballot.) Musk did his part to run turnout, <a href="https://en.mycoding.id/category/technology" target="_blank">spending nearly fractional a milliard dollars</a> on Republican candidates and PACs. But equal Musk&rsquo;s prosperity unsuccessful to create up for voters&rsquo; dissatisfaction alongside Republicans&rsquo; performance, perchance since the ads he funded focused mostly on civilization war issues that were out of stage alongside voters&rsquo; concerns concerning the disbursal of living.</p><p>And Miller, it turns out, didn&rsquo;t equal vote, <a href="https://en.mycoding.id/category/technology" target="_blank">telling CBS News</a>she feared doing so would put her safety at risk, since Virginia law makes voters&rsquo; residence addresses public. (The Millers, akin another members of the Trump administration, live on a armed forces facility alongside tight security; it&rsquo;s improbable intruders would be capable to get to their home.) Republican myopia may have contributed to their mediocre achievement throughout the board, including alongside groups that were touted as their new base. One <a href="https://en.mycoding.id/category/technology" target="_blank">poll</a> established that a bulk of young men of all races &mdash; including young pale men &mdash; voted for Democrats in the midterms.</p><p>In a <a href="https://en.mycoding.id/category/technology" target="_blank">long postmortem</a> on X &mdash; <a href="https://en.mycoding.id/category/technology" target="_blank">reportedly</a> posted without input or approval from White House officials &mdash; Vance stated he asked &ldquo;the smartest data guy&rdquo; he knows for understanding on the electorate onward of the midterms. Vance claims multiple pollsters told him that voters&rsquo; chief concerns were the war against Iran, the disbursal of living, and America&rsquo;s association to Israel. So why didn&rsquo;t Republicans listen?</p><p>The answer lies in the algorithmic nature of social media, X especially. If you engage alongside equal one article concerning a comparatively niche topic &mdash; say, genderbent <em>Harry Potter</em> fanfiction &mdash; the algorithm volition nourish you article following article following article concerning the identical thing. Just akin Trump spent the first years of his archetypal term obsessing complete Fox News, the sole mainstream network that would indicate his biases rear to him, MAGA is now all in on X. And if you&rsquo;re the benevolent of individual who spends a lot of period scrolling, you may equal delude yourself into thinking the matter clogging up your nourish is item group fair can&rsquo;t halt talking about.</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-dmcyOmF1dGhvclByb2ZpbGU6MjUx"><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>Gaby Del Valle</span></span></span></li><li><li><li><li><li><li></ul></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/the-midterms-proved-once-and-for-all-that-x-is-not-real-life-75864</guid> <pubDate>Thu, 05 Nov 2026 22:55:00 +0700</pubDate> <author><![CDATA[support@mycoding.id (Gaby Del Valle)]]></author> </item> <item> <title><![CDATA[Disney employees use a town hall meeting to press management for details on a possible next round of layoffs]]></title> <description><![CDATA[Disney employees use a town hall meeting to press management for details on a possible next round of layoffs. Disney staffers pushed administration for answers concerning reports of layoffs in a tech town hall. Employees say morale is suffering.]]></description> <media:thumbnail url="https://i.insider.com/6aecdeb39270da3cc66688df?width=1200&amp;format=jpeg"/> <category><![CDATA[Business]]></category> <link>https://en.mycoding.id/disney-employees-use-a-town-hall-meeting-to-press-management-for-details-on-a-possible-next-round-of-layoffs-75865</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/6aecdeb39270da3cc66688df?width=2000&amp;format=jpeg&amp;auto=webp" srcset="https://i.insider.com/6aecdeb39270da3cc66688df?width=400&amp;format=jpeg&amp;auto=webp 400w, https://i.insider.com/6aecdeb39270da3cc66688df?width=500&amp;format=jpeg&amp;auto=webp 500w, https://i.insider.com/6aecdeb39270da3cc66688df?width=700&amp;format=jpeg&amp;auto=webp 700w, https://i.insider.com/6aecdeb39270da3cc66688df?width=1000&amp;format=jpeg&amp;auto=webp 1000w, https://i.insider.com/6aecdeb39270da3cc66688df?width=1300&amp;format=jpeg&amp;auto=webp 1300w, https://i.insider.com/6aecdeb39270da3cc66688df?width=2000&amp;format=jpeg&amp;auto=webp 2000w" sizes=" 1280px) 900px" alt="Disney layoffs" decoding="sync"> </p></div> <figcaption e-name="image-caption"> <span e-name="image-source" itemprop="creditText">Michael M. Santiago/Getty Images; Aurore Marechal/Getty Images</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> <span>Disney workforce are disappointed by reports that the business is preparedness to cut additional workers under CEO Josh D'Amaro.</span> </figcaption> </figure> </div> <div data-component-type="image-modal" data-load-strategy="lazy"> <p>Disney tech workforce are pushing administration for answers following <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">several important rounds of layoffs</a> this twelvemonth and reports that additional cuts are coming.</p><p>Several staffers told Business Insider they're struggling alongside morale and are putting in additional attempt to appearance occupied &mdash; and several of their colleagues echoed off in a business gathering Thursday.</p><p>"Do we cognize whenever the disbursal cutting is targeted to happen?" a Disney application engineer asked in a town hall on Thursday afternoon.</p><p>The inquiry was submitted in penning during the Q&amp;A part of the meeting. Business Insider viewed screenshots of several of the questions.</p><p>The doubt came days following <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;outbound_click&quot;}' rel=" nofollow">Bloomberg reported</a> that Disney is preparedness to lay off thousands of employees, citing sources acquainted alongside the matter. It stated several managers were asked to aim for 20% in annual disbursal savings. Disney declined to comment to Bloomberg. Disney didn't react to a petition for comment from Business Insider.</p><p>"Would it [be] improved for employee morale to archetypal comprehend from mgmt concerning forthcoming employee advantage changes and layoffs, alternatively of hearing concerning these from the media?" a seasoned tech employee asked.</p><p>A third tech staffer asked: "How do you anticipate these disbursal cuts volition effect MPA?" (MPA refers to Disney's "Media Platform Alliance," which includes the streaming distribution, infrastructure, and metadata teams.)</p><p>A fourth employee asked guidance if they had "any understanding into what motivated the first withdrawal bundle offers" that the Mouse House offered certain higher-ups, which were archetypal <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;outbound_click&quot;}' rel=" nofollow">reported by Deadline</a> in delayed August. Dana Walden, Disney's imaginative chief, stated at a Bloomberg event on October 1 that the business had offered "an extremely generous" first withdrawal program.</p><p>During the town hall, Disney streaming leaders didn't provision particular answers to questions concerning whether cuts were coming or whenever they could happen, two streaming workforce who attended the gathering said.</p> <p>A fifth employee asked what Disney's "plans are for these new c.ai folks," referring to the 66 staffers the business is <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">paying $60 myriad to hire</a> from Character.AI, an AI chatbot startup that submitted for bankruptcy in mid-October. <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">Disney's new tech chief</a>, Karandeep Anand, had been Character.AI's CEO <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">before joining in first October</a>.</p><p>"What volition they be operating on?" this tech staffer asked, in citation to the Character.AI members moving to Disney.</p><p>After the meeting, multiple Disney staffers expressed their frustration on Blind, an anonymous forum that verifies activity email addresses before allowing users to perspective a particular company's page.</p><p>"Their answers in the Q&amp;A create my lifeblood boil," one Blind person said.</p><p>Another Blind person stated that the town hall was "forced positivity" and that guidance was "completely ignoring all the genuine changes and issues destroying morale."</p><h2 id="edf10ebd-5106-4ec6-be0d-5cd2cb57809e" data-toc-id="edf10ebd-5106-4ec6-be0d-5cd2cb57809e">'Very demotivating'</h2><p>Layoffs &mdash; and reports of imaginable layoffs &mdash; are affecting morale inner Disney, four workforce stated this week onward of Thursday's town hall.</p><p>Reports of coming cuts are "very demotivating," a high-level engineer said, adding that it weighed downward on their mood &mdash; equal following a affirmative annual review.</p><p>"I've been through adequate of these to cognize that doesn't average safety," this individual said.</p><p>Another application engineer stated Disney staffers are on edge, antsy to demonstrate that they're pulling their weight.</p><p>"Everyone's looking additional 'busy,'" this individual said, noting that several high-ranking tech workforce are "attending meetings they'd alternatively skip."</p><p>Disney had three rounds of cuts in CEO Josh D'Amaro's archetypal seven months and submitted a WARN notice in California in delayed October, indication that it's preparedness to let go of 159 park employees.</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>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/disney-employees-use-a-town-hall-meeting-to-press-management-for-details-on-a-possible-next-round-of-layoffs-75865</guid> <pubDate>Thu, 05 Nov 2026 22:42:35 +0700</pubDate> <author><![CDATA[support@mycoding.id (James Faris)]]></author> </item> <item> <title><![CDATA[$2.5T has been wiped from US stocks]]></title> <description><![CDATA[$2.5T has been wiped from US stocks. Comments]]></description> <media:thumbnail url="https://substackcdn.com/image/fetch/$s_!lyuR!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg"/> <category><![CDATA[Technology]]></category> <link>https://en.mycoding.id/2-5t-has-been-wiped-from-us-stocks-75874</link> <content:encoded><![CDATA[<div><div><div><div><div><div><div dir="auto"><div><figure><a href="https://en.mycoding.id/category/technology" target="_blank" data-component-name="Image2ToDOM"><div><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!lyuR!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg 424w, https://substackcdn.com/image/fetch/$s_!lyuR!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg 848w, https://substackcdn.com/image/fetch/$s_!lyuR!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg 1272w, https://substackcdn.com/image/fetch/$s_!lyuR!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg 1456w" sizes="100vw"></source><img src="https://finlaws.substack.com/p/fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg" width="680" height="615" data-attrs='//substack-post-media.s3.amazonaws.com/public/images/523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:615,&quot;width&quot;:680,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:180082,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/jpeg&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://finlaws.substack.com/i/223693716?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}' alt="" srcset="https://substackcdn.com/image/fetch/$s_!lyuR!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg 424w, https://substackcdn.com/image/fetch/$s_!lyuR!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg 848w, https://substackcdn.com/image/fetch/$s_!lyuR!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg 1272w, https://substackcdn.com/image/fetch/$s_!lyuR!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F523444f3-c0cd-4a90-9d85-12bf7ef15d23_680x615.jpeg 1456w" sizes="100vw" fetchpriority="high"><div></div></div></a></figure></div><p>The Nasdaq wiped out approximately $2.5 trillion in market cap on Thursday, officially pushing the indicator into correction territory. If you appearance at the heatmap above, though, the companies really signing the enormous AI capex checks barely moved. GOOGL is downward 2.29%, MSFT is downward 3.25%, and AMZN is downward 3.55%. Meanwhile, the vendors marketing them the hardware, memory, and power equipment got crushed: AMD (-14.83%), MU (-14.18%), DELL (-12.88%), and GE Vernova (GEV) on the grid turbine flank is downward 11.88%.</p><p>That divergence makes a lot of awareness if you looked at the Q3 prosperity stream statements final week. Alphabet posted -$9.1B in liberated prosperity stream for the quarter, and Amazon&rsquo;s trailing 12-month FCF is downward at -$42.4B during directing toward $220B in annual capex. The hyperscalers have enormous center ad and haze monopolies that can assimilate a capex slowdown or a pivot. Their suppliers don&rsquo;t. Names akin NVDA (-7.53%), AVGO (-8.07%), and semi-cap equipment makers akin LRCX (-12.44%) and AMAT (-10.31%) are priced as if gigawatt data center buildouts volition compound everlastingly without friction. </p><p>Tuesday&rsquo;s midterm elections basically introduced that friction. With Democrats flipping administrator seats in Texas, Georgia, and Ohio (plus taking Congress), the market is starting to cost in permitting delays. Those three states are anywhere a huge chunk of near-term US gigawatt capability is expected to go, and candidates openly ran on pausing data center approvals since residential power rates are spiking. You don&rsquo;t need to obtain shipment of GPUs or server racks from AMD and Dell in Q1 if your 500MW interconnect authorize gets stuck at the province usefulness board.</p><p>At the identical time, the person flank of semi petition is getting squeezed by the exact identical AI buildout. QCOM dropped 12.65% today following handset part revenue cut 26%, correct as Counterpoint reported earth smartphone shipments cut 20% to a 14-year low. A big logic for that is Micron and SK Hynix shifting wafer capability to HBM for AI servers, which drove up norm DRAM/NAND prices and forced phone OEMs to lift retailing prices. Consumers aren&rsquo;t paying up for &ldquo;AI phones,&rdquo; so component volumes are tanking. </p><p>When the buyers have negative liberated prosperity stream and local grids commencement blocking new power hookups, the hardware vendors obtain the hit first. That&rsquo;s beautiful much what the commission is showing today.</p></div></div></div></div></div></div></div><div><div id="discussion"><div><h4>Discussion concerning this post</h4></div></div></div>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/2-5t-has-been-wiped-from-us-stocks-75874</guid> <pubDate>Thu, 05 Nov 2026 22:39:26 +0700</pubDate> <author><![CDATA[support@mycoding.id (Mira Azkia)]]></author> </item> <item> <title><![CDATA[I lost most of my friends after a heart attack and double amputation. Almost a decade later, I don't miss my old circle.]]></title> <description><![CDATA[I lost most of my friends after a heart attack and double amputation. Almost a decade later, I don't miss my old circle.. After becoming impaired following a bosom attack, I misplaced many friendships. The women who stayed helped me rebuild my life.]]></description> <media:thumbnail url="https://i.insider.com/6ae0fda8ca24d51c5f89f88c?width=1200&amp;format=jpeg"/> <category><![CDATA[Business]]></category> <link>https://en.mycoding.id/i-lost-most-of-my-friends-after-a-heart-attack-and-double-amputation-almost-a-decade-later-i-don-t-miss-my-old-circle-75866</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/6ae0f47de793e12971425ef0?width=2000&amp;format=jpeg&amp;auto=webp" srcset="https://i.insider.com/6ae0f47de793e12971425ef0?width=400&amp;format=jpeg&amp;auto=webp 400w, https://i.insider.com/6ae0f47de793e12971425ef0?width=500&amp;format=jpeg&amp;auto=webp 500w, https://i.insider.com/6ae0f47de793e12971425ef0?width=700&amp;format=jpeg&amp;auto=webp 700w, https://i.insider.com/6ae0f47de793e12971425ef0?width=1000&amp;format=jpeg&amp;auto=webp 1000w, https://i.insider.com/6ae0f47de793e12971425ef0?width=1300&amp;format=jpeg&amp;auto=webp 1300w, https://i.insider.com/6ae0f47de793e12971425ef0?width=2000&amp;format=jpeg&amp;auto=webp 2000w" sizes=" 1280px) 900px" alt="Woman on rotor place posing for photo" decoding="sync"> </p></div> <figcaption e-name="image-caption"> <span e-name="image-source" itemprop="creditText">Courtesy of the author</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> <span>The author misplaced her legs following a bosom attack.</span> </figcaption> </figure> </div> <div data-component-type="image-modal" data-load-strategy="lazy"> <p>I was 30 days into a <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">hospital stay</a> whenever I learned the difference between a companion and person who used to be one. I didn't cognize it yet, but that instruction was concerning to disbursal me most of my companion collection and provision me item improved in return.</p><p>In 2018, I had a <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">widow-maker bosom attack</a>. Then two bilateral lesser leg amputations. I was flat on my back, trying to fig out what was remaining of my build and what was remaining of my life. That's whenever the visitors started sorting themselves into neat piles.</p><h2 id="e0437a87-2c42-4ffa-8dae-9ccd4794e348" data-toc-id="e0437a87-2c42-4ffa-8dae-9ccd4794e348">Friends were there whenever I needed them</h2><p>Tijuana was the one my hubby called the day I was <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">rushed to the ER</a>. We met on my archetypal day of new-teacher orientation, and she became my division place shortly after. Somewhere alongside the way, she additionally became auntie to my daughter, and I became auntie to her five. She additionally became my finest friend. Tijuana was the lone individual I let arrive about consistently, and she did, all time. She helped me. She cried alongside me. She loved on me in the specific, unglamorous way that has nothing to do alongside flowers and everything to do alongside showing up to a area that smelled akin antiseptic and fear and staying anyway.</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/6ae107093ae265b597b02bec&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:1227,&quot;aspectRatioH&quot;:920}}' alt="Women posing for photo"> </p></div> <span> <figcaption e-name="image-caption"> Some of the author's allies showed up whenever she most needed them.&nbsp; <span e-name="image-source" itemprop="creditText"> Courtesy of the author </span> </figcaption> </span> </figure> <p>Kimberly is my row sister. We were initiated into the identical sorority, which method she's been quarry and I've been hers since the instant we decided, as grown women alongside complete lives already built, that we motionless had area for a sisterhood we the two wanted. She showed up unannounced one day and ran direct into my mother in the hospital lobby. She came direction gifts, one set for me and one for my parents, since I conjecture she knew they were frightened too and needed item in their hands furthermore worry. Once home, relearning what my build could and couldn't do, she showed up again. She's been about always since.</p><h2 id="52d0f9c5-ed05-45bf-bb05-c368ab5a3e9f" data-toc-id="52d0f9c5-ed05-45bf-bb05-c368ab5a3e9f">Others didn't display up at all</h2><p>I used to think companionship was proven in the fine years, the weddings, the birthdays, the Saturday brunches. Turns out it gets proven in a <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">hospital room</a> whenever you have nothing to recommendation anybody, and the lone item remaining to see is who motionless shows up. Some group bring gifts since they really care. Some group display up since that's what's expected. Or they're fair nosy. Either way, you can normally inform which by whether there's a second visit. For several people, there isn't one.</p><p>I didn't see any of this as an upgrade during it was happening. It felt akin a loss. It wasn't.</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/6ae10a3c3ae265b597b02c1e&quot;:{&quot;contentType&quot;:&quot;image/jpeg&quot;,&quot;aspectRatioW&quot;:1757,&quot;aspectRatioH&quot;:2640}}' alt="Woman alongside prosthetic legs possing for photo"> </p></div> <span> <figcaption e-name="image-caption"> The author says her collection shrank to 12 group following her bosom attack.&nbsp; <span e-name="image-source" itemprop="creditText"> Courtesy of the author </span> </figcaption> </span> </figure> <p>Within a year, my companion collection went from dozens of group I called "friends" to 12. Nobody got a theatrical goodbye text. They fair stopped calling. I stopped being uncomplicated to invitation to places. My impairment made them uncomfortable. A lot of group didn't cognize how to agreement alongside that, so they didn't.</p><h2 id="5623ea49-cdbf-4217-8b21-5eea33262e5c" data-toc-id="5623ea49-cdbf-4217-8b21-5eea33262e5c">I'm not furious concerning my collection shrinking</h2><p>I'm not furious concerning it anymore. That took a while. For the archetypal twelvemonth or two, I kept a <a href="https://en.mycoding.id/category/business" target="_blank" data-track-click='&quot;bi_value_unassigned&quot;}' rel="">mental catalog </a>of who hadn't called, replaying visits that never happened, holding onto invitations that quietly stopped coming. It's an ugly item to sit with, observing your earth shrink in genuine period and knowing exactly whose choice that was.</p><p>But following nearly a decade, here's the truth: I wouldn't commerce the 12 women I do have for the multiple I used to.</p> <p>"The Twelve" cognize what my new normal really looks akin since they loved me through the twelvemonth it became normal. They saw me on the days I couldn't get out of bed and the days I could barely remain to be looked at. They never performed concern. They fair showed up. They motionless do.</p><p>A hundred group who display up for the fine years volition inform you they affection you. Twelve group who display up for a hospital room, a residence health aide schedule, and a build that doesn't appearance or activity the way it used to volition display you. Turns out I didn't need the crowd. I needed the women who would affection me for real. And they did. And they do. That's not a defeat I'm grieving. That's the finest commerce I never chose to make.</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>]]></content:encoded> <guid isPermaLink="true">https://en.mycoding.id/i-lost-most-of-my-friends-after-a-heart-attack-and-double-amputation-almost-a-decade-later-i-don-t-miss-my-old-circle-75866</guid> <pubDate>Thu, 05 Nov 2026 22:32:01 +0700</pubDate> <author><![CDATA[support@mycoding.id (Chantrise Sims Holliman)]]></author> </item> </channel> </rss>