MC Project

New Open-Source Cybersecurity Platform Uses AI Agents to Hunt Threats

support@mycoding.id (Doris Putra) — Sun, 25 Oct 2026 08:09:35 +0700

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Mengapa AI Bisa Lupa?

support@mycoding.id (Mc Project) — Sun, 25 Oct 2026 07:00:28 +0700

Mengapa AI Bisa Lupa?

Channel ini menyajikan materi seputar Data Science & Artificial Intelligence, Networking & Cyber Security, serta Database & Programming. Seluruh materi disusun secara sistematis untuk membantu Anda memahami konsep, teknologi, dan praktik yang digunakan di bumi teknologi informasi, mulai dari tingkat alas hingga lanjutan. Setiap bahasan berfokus pada pengembangan keahlian melalui materi yang gampang dipahami, relevan dengan kebutuhan industri, dan disampaikan untuk tujuan edukasi. Seluruh konten mengedepankan implementasi teknologi secara legal, etis, dan bertanggung jawab, sehingga dapat menjadi rujukan belajar bagi pelajar, mahasiswa, maupun profesional. Jika Anda mau mengembangkan kapasitas di sektor pemrograman, pengelolaan data, kecerdasan buatan, jaringan komputer, maupun keamanan siber, channel ini menyediakan materi yang dapat membantu membangun fondasi ilmu sekaligus menaikkan keahlian secara bertahap. Playlist video terkait: ▪ https://www.youtube.com/playlist?list=PLZGgeqmsm32s ▪ https://www.youtube.com/playlist?list=PLZomBNpDl3vc ▪ https://www.youtube.com/playlist?list=PLE5VyXMZkzb8 PEMBAHASAN MATERI Playlist Materi Ilmu Komputer berisi kumpulan video pembelajaran, tutorial, klarifikasi konsep, studi kasus, demo, dan bahasan komplit seputar beragam sektor dalam ilmu komputer. Materi yang disajikan mencakup alas hingga tingkat lanjut, mulai dari pemrograman, pengelolaan database, jaringan komputer, keamanan siber, mekanisme operasi, pengembangan alat lunak, arsitektur komputer, hingga beragam teknologi yang digunakan dalam bumi komputasi modern. Temukan bahasan mengenai komputer dan pemrograman, algoritma, struktur data, PHP, JavaScript, Python, Laravel, MySQL, PostgreSQL, API, rekayasa alat lunak, database, jaringan komputer, pengelolaan server, cloud computing, virtualisasi, Linux, Windows Server, keamanan jaringan, cyber security, ethical hacking, kriptografi, keamanan aplikasi, DevOps, Internet of Things (IoT), kecerdasan buatan (AI), machine learning, serta beragam konsep, teknologi, dan praktik terbaik di sektor ilmu komputer. Playlist ini cocok bagi pelajar, mahasiswa, programmer, web developer, software engineer, pengelola sistem, ahli IT, maupun siapa saja yang mau mempelajari dan memperdalam wawasan di bumi ilmu komputer secara menyeluruh. CONTACT US ▪ Email support@mycoding.id ▪ WhatsApp https://wa.me/6281274309663 ▪ Telegram https://t.me/mycodingxd OFFICIAL LINKS ▪ Web https://mycoding.id ▪ Blog https://blog.mycoding.id ▪ News https://en.mycoding.id ▪ Apps https://play.google.com/store/apps/dev?id=5237501547073493079 SOCIAL MEDIA ▪ https://linkedin.com/company/mycodingxd ▪ https://facebook.com/mycodingxd ▪ https://instagram.com/mycodingxd ▪ https://tiktok.com/@mycodingxd ▪ https://twitter.com/mycoding_xd ▪ https://pinterest.com/mycoding_xd CHANNEL LINKS ▪ YouTube https://safelink.asia/youtube ▪ DailyMotion https://safelink.asia/dailymotion ▪ WhatsApp https://safelink.asia/whatsapp ▪ Telegram https://safelink.asia/telegram Powered by https://linkedin.com/company/401XDGroup #CyberSecurity #ArtificialIntelligence #Networking #DataScience #Programming #Database

Menguasai Dasar Kecerdasan Buatan (AI)

support@mycoding.id (Mc Project) — Sun, 25 Oct 2026 07:00:18 +0700

Menguasai Dasar Kecerdasan Buatan (AI)

Bagaimana Siklus Hidup AI Bekerja?

support@mycoding.id (Mc Project) — Sun, 25 Oct 2026 07:00:15 +0700

Bagaimana Siklus Hidup AI Bekerja?

Bagaimana Statistika Memahami Data?

support@mycoding.id (Mc Project) — Sun, 25 Oct 2026 07:00:13 +0700

Bagaimana Statistika Memahami Data?

Apa yang Dibutuhkan untuk Belajar Data Science?

support@mycoding.id (Mc Project) — Sun, 25 Oct 2026 07:00:09 +0700

Apa yang Dibutuhkan untuk Belajar Data Science?

Digitos – Digital Agency HTML Template

support@mycoding.id (Null Php Script) — Sun, 25 Oct 2026 07:00:00 +0700

Digitos – Digital Agency HTML Template Free Download. Digitos is a Library for Digital Marketing Agency HTML Template alongside predefined Web Elements which helps you to build your own Website. Digitos Provide you to build the Best Agency, Creative Digital Agency, Portfolio, Digital Marketing, Freelancer, SEO Agency, Social Media Marketing Template alongside a excellent Friendly and Responsive Layouts.

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Five Qwen3.8-27B models match Fable 5 Using GVS5H Harness

support@mycoding.id (Riki Setiawan) — Sun, 25 Oct 2026 04:56:01 +0700

GVS5H: Gorilla vs. 5 Humans

Opus 5 ran on an before type of the scaffold, in a sole continue served through OpenRouter fairly than five on a pinned backend.

Abstract. Frontier coding achievement is typically bought alongside larger proprietary models at elevated cost. We current ledger-based zero-shot self-orchestration, a training-free method in which caller instances of one example decompose problems and coordinate through a shared filesystem holding a plan, notes and current solution. Across eleven open and closed-weight models on the 100 latest difficult LiveCodeBench problems, the method yields gains of up to 25.6 percent points on pinned backends and offers two routes to frontier-level accuracy. Orchestrated Qwen3.8 Flash Next reaches 93.0% pass@1 against Fable 5's 90.4% at 9% of the cost, and locally served, open-weight Qwen3.8-27B rises from 66.8% to 92.4%. Gains are not universal: several models are unchanged or worse. Transcript inspection attributes the acquire to decomposition and persistent context. Inference-time institution can method frontier coding accuracy at a fraction of the cost, or slightly exceed it on self-hostable weights.

— the paper

Needs uv and an API key for the example you desire to test.

cd codebase/v2-current export OPENAI_API_KEY=... LCB_RELEASE=release_v6 \ ESCALATION_CLOUD_MAX_TOKENS=128000 \ ESCALATION_CLOUD_TIMEOUT=7200 \ MULTIAGENT_MODEL=openai:gpt-5.6-terra \ uv run --no-project --python 3.12 --with 'datasets<4' --with numpy --with anthropic \ python escalation/run_bench.py --engine multiagent --only lcb --lcb 100 --parallel 8

--engine multiagent runs the manager; --engine sole is the one-call baseline.
Other models: anthropic:, dashscope:, openrouter:, all alongside its own *_API_KEY.
The pass@1 mark prints at the end. Results are written to runs/results.json, workspaces to runs/ws/.

Code is under the MIT License. The paper, figures and run data are under CC BY 4.0. The LiveCodeBench fork, the benchmark issue statements and the LaTeX template records keep their own licenses. See NOTICE.md for which licence covers which path.

Xbox Turns Down Netflix $500M Offer

support@mycoding.id (Riki Setiawan) — Sun, 25 Oct 2026 04:05:53 +0700

Halo Studios, Microsoft

Netflix reportedly offered Microsoft $500 myriad for a seven twelvemonth agreement that would authorize the streaming elephantine to modify shows and films concerning Xbox characters.

Puck bankrupt the news, indicating that Microsoft responded alongside an recommendation for $800 myriad – as a result, the agreement has reportedly fallen through.

In a declaration to Puck, Xbox said, “We have received record-breaking involvement in our I.P.; Netflix is a appreciated partner and we are enthusiastic for the forthcoming publish of our Minecraft and Diablo animated sequence together, among another adaptations.”

Microsoft is now stated to be in pursit of “smaller deals alongside additional partners,” doing things on a case-by-case basis fairly than an overarching exclusivity deal.

Microsoft earlier partnered alongside Paramount to create the live-action “Halo” series, which ran for two seasons. They currently have a “Call of Duty” movie in the plant at Paramount, a third period of “Fallout” at Amazon and a sequel to “A Minecraft Movie” beginning next year.

Titles akin “Gears of War,” “The Elder Scrolls” and “Sea of Thieves” are additionally being thrown for imaginable adaptations.

Netflix has assorted plant according to games coming out, including the animated “Cyberpunk: Edgerunners” which returned this week.

Meta employees say Lula’s accounts restricted in Brazil election: Report

support@mycoding.id (Riki Setiawan) — Sun, 25 Oct 2026 03:18:35 +0700

The messages, reported by a Brazilian daily, say the phase recommended Bolsonaro’s overview and his WhatsApp channel.

Published On 16 Oct 2026

Employees at Meta have acknowledged in inner communications that the Instagram accounts of Brazilian President Luiz Inacio Lula da Silva were negatively affected by restrictions during the country’s election, media reports say.

The messages, reported on Friday by Brazilian regular Folha de S Paulo, additionally acknowledged the phase recommended the overview of Lula challenger Senator Flavio Bolsonaro, as fine as his WhatsApp channel. Folha, the Sao Paulo-based paper, cited messages it had reviewed.

"Musk" Documentary Pulled from Almost Every One of 472 Theaters After One Week

support@mycoding.id (Riki Setiawan) — Sun, 25 Oct 2026 02:40:01 +0700

★ Make Showbiz411 your Preferred Source on Google

Alex Gibney’s “Musk” movie is beautiful much gone.

Released October 9th to four theaters, it expanded to 472 final Friday.

And now, one week afterward it’s gone from nearly all theater in America.

You can motionless discover it in one or two odd places that didn’t get the memo. And equal it’s one showing a day at an odd time, akin 10am.

“Musk” was released by Bleecker Street Films, which was sold in the final week to ebay originator Pierre Omidyar — not considered a companion of Elon Musk, but a billionaire nevertheless.

And fair akin that, it’s gone.

Online, group started commenting before this week that shows they’d bought tickets for were cancelled without warning.

“Musk” — which has nearly ideal scores on Rotten Tomatoes and Fandango — is a entirely unvarnished three hr appearance at the existence of Elon Musk. It covers his entire life, including all endeavor dealings and interviews alongside his 14 children’s mothers.

CLICK HERE FOR MORE NEWS

No one has one fine item to say concerning the Tesla owner. “Musk” is additional of a fear movie that item alternatively out there.

Generally movies have 28 day runs in theaters. But one or or two weeks and afterward oblivion is an bonzer rotate of events.

In New York, for example, anywhere “Musk” had an audience, the movie is now playing fair at the Angelika in Soho, formerly a day in the morning.

A catalog of theaters from Bleecker, which you can see below, shows that all 472 were listed as playing the movie today. But no more.

Earlier in the week, Tik Tok was accused to canceling the “Musk” ad page, but afterward was stated to have restored it. The trailer is motionless playing on YouTube. For now.

FindMyWeb: Apple Find My, reverse enginiered

support@mycoding.id (Riki Setiawan) — Sun, 25 Oct 2026 00:42:52 +0700

A project which allows you to build trackers which you really own. The idea is to create a way for you to build your own trackers using the already existing networks without requiring you to own any vendor particular devices.

Supported networks

Apple FindMy
Google Find My Device
Samsung SmartThings

Why

Currently there are a lot of distinct networks for location trackers from a plethora of distinct vendors. This causes a lot of fragmantation and everyone requires you to own a equipment anywhere their closed-source application runs without you knowing what really happens alongside your location. The idea is to create a web interface for all of them and authorize you to build your own open-source trackers.

How

The backend currently uses malmeloo's FindMy.py archive to engage alongside Apple's network during the trackers run a tradition Zephyr based firmware. You can discover out additional info in the setup instructions.

Web (Frontend+Backend)

Development/Baremetal
Docker (TBD)

FruityTag (Firmware)

Building
Prebuilt (TBD)

seemo-lab for their first investigation on the FindMy network
malmeloo for his outstanding FindMy.py library

Why Gopher in 2026?

support@mycoding.id (Adi Gunawan) — Sun, 25 Oct 2026 00:33:19 +0700

Entry 001 - Why gopher in 2026? May 22nd 2026 First off, if you're study this, you're likely the benevolent of individual who can't just use a tool, you have to cognize how it works. There are astute group who are good at what they do. Some group are expert chefs, notable mechanics, great sculptors or skillful accountants. But how many of those group dive so deep into what they are fine at to comprehend what makes it tick? People akin us are the ones who build a phlog for fun fair to get a emotion for how far we've arrive alongside technology. Maybe you're current for the nostalgia, maybe it's to rotate off the noise of contemporary tech. The crucial part is you are here now, in 2026 or beyond. I'm noticing a trend alongside my 17 twelvemonth old and their allies alongside ADHD anywhere they want to rotate off the noise of the earth and go rear to simpler times. As one who is from those simpler times, I'm a small arrogant but additionally a small "Get off my lawn!" It's unattainable to go rear to that at this item and for improved or worse, we have to create awareness of anywhere we are. Flip phones are uncomplicated and low- tech to them, but for us they were the latest in tech! We have syntax highlighting in vim that wasn't there whenever I was using vi so many years ago. Now I not lone cognize it's there, but I can google how to set up so many features that I didn't cognize existed and would never fig out from the manual. Back in the day you had to discover person who archetypal off knew what you were equal talking concerning and second who knew additional than you did. For me, this was how I ended up knowing a small concerning a lot but not being capable to wrestle the arcane cognition from the man pages. I think tech is in a weird location that is the two excellent helpful and yet so unhelpful at the identical time. Subscriptions for everything, services changing all the period and profits driving the direction of everything. It's nice to find a location akin sdf that operates akin how things used to. Thanks for stopping by! Wayne =============================================================================== (Comment remaining whenever I was using germ 0.4.0) 2026 May 24, 10:29 I awareness you, on one hand we cant go back, on the other, we have to go back. Im not certain anywhere that leaves us. All I cognize is that I (myself) need to dilatory down. - y4my4m

Google has officially turned these Nest thermostats back into dumb thermostats

support@mycoding.id (Riki Setiawan) — Sun, 25 Oct 2026 00:14:30 +0700

Published Oct 18, 2026, 8:30 AM EDT

Brady is a innovation newsman for MakeUseOf alongside years of cognition covering all things mobile, computing, and broad tech. He has a concentration on Android phones and audio gear, and holds a B.S. in Journalism from St. John's University.

Brady has written for publications akin Android Central, Android Authority, XDA, Android Police, iMore, and others. He has cognition reporting on important events held by Google, Apple, and Samsung, as fine as commerce shows akin Lenovo Innovation World and IFA.

When he's not penning concerning and evaluation the latest gadgets, you'll discover Brady observing Big East basketball and running.

A essential thermostat can oversee your home's heating, ventilation, and cooling scheme for decades without requiring replacement. By comparison, astute residence accessories have a finite lifespan. Accessories that depend on power division power volition be in difficulty whenever their batteries degrade. Similarly, gadgets that rely on the haze for internet-connected features have an expiration date that'll arrive whenever those haze servers inevitably close down.

This isn't fair a theory — the first- and second-generation Nest Learning Thermostats were officially dropped by Google final year. Nest Learning Thermostats hook up to your home's electric wiring, so there's no power division to concern about. But key Nest Learning Thermostat features depend on Google services to work. Three thermostat models were cut off from those services for good, and they've transitioned into "dumb" thermostats.

If you own among the affected models, you power be blessed to study that a liberated and open-source application project restores your Nest Learning Thermostat's haze functionality formerly again.

These Nest thermostats misplaced their astute features

Is a decade-plus of assistance adequate for a astute thermostat?

It's uncomplicated to ignore that Nest has been making thermostats for a lengthy period — years before the brand was purchased by Google. The first Nest Learning Thermostat released in 2011, alongside the second-generation example arriving a twelvemonth afterward in 2012. A European type of the second-generation Nest Learning Thermostat came out in 2014. Each of these three Nest Learning Thermostats reached end-of-life position in October 2025.

Google announced the alter in a community post, noting that the three Nest Learning Thermostat models were all supported for complete a decade. That's outstanding assistance for person electronics, but not-so-great for a thermostat you scheme to use until it breaks. Here's what Google had to say concerning the assistance cutoff at the time:

To completely allocate in these advancements and bring you the most cutting-edge features on our latest generation of Nest thermostats, we volition be transitioning distant from supporting three of our oldest devices, all complete a decade old.

The business announced additional that these models would "no longer obtain application updates," which appears sensible enough. It's not realistic to anticipate a business to add new features and bug fixes to aging products forever. But the disappointing part came next. Google stated users wouldn't be capable to authority these thermostats remotely or via Google Assistant (now Gemini) former the cutoff date.

Essentially, any characteristic that relied on haze services or Google Home and Nest connections stopped operating as of Oct. 25, 2025.

They'll activity as dumb thermostats

But you can ignore concerning using app or sound control

Credit: Bryan M. Wolfe / MakeUseOf

Without ongoing application assistance and admission to cloud-based Google Home and Nest features, the dropped Nest Learning Thermostat models barely meet requirements as "smart" thermostats in 2026. Here's the quick catalog of center features these Nest Learning Thermostat versions lost, direct from Google's official assistance document:

Checking the position of your thermostat in the Nest or Home app
Remotely controlling the device
Receiving notifications
Changing settings from your phone or tablet

Without admission to the Home and Nest apps, additional functionality became unavailable. Connections to third-party assistants and Nest Protect accessories were damaged for good. Features akin Home/Away Assist, multi-device Eco Mode, and emergency close off no longer work. Just concerning everything that made a Nest Learning Thermostat a Nest Learning Thermostat is gone, and the first- and second-generation models now have a gutted characteristic set.

The argent lining — if there is one — is that these Nest Learning Thermostat models weren't entirely bricked. You can motionless authority them manually, including by environment the temperature, changing the cooling mode, or creating a tradition schedule. The features and settings that don't depend on Google Home and Nest servers to run motionless work, albeit lone on the thermostat itself.

Without app assistance and distant control, these Nest Learning Thermostats misplaced their center features basically overnight. Google did provision users alongside advanced notice of the shutdown, and equal offered affected users discount credits for upgrading their thermostats. But whenever the haze integrations vanished, so did many Nest Learning Thermostat features.

Nothing changes for owners of the third-generation Nest Learning Thermostat, Nest Thermostat E, Nest Thermostat, or fourth-generation Nest Learning Thermostat models. At least, for now. Google set the precedent that the internet-connected features for Nest thermostats aren't guaranteed to final forever.

This open-source project revives them

Self-host your Nest Learning Thermostat's haze features

Credit: NoLongerEvil

It's been a twelvemonth since Google officially ended assistance for three Nest Learning Thermostat models. If you've hung onto your outdated Nest thermostats, there is a way to regain the internet-based features they lost. An open-source project called No Longer Evil, developed by Cody Kociemba, brings rear distant authority and dashboard administration features.

It's a neat project made for DIY-ers of all accomplishment levels. If you don't desire to go through the hassle of environment up a self-hosted server, you can use No Longer Evil servers instead. Flash the new firmware onto your thermostat, create a liberated account, and use the web dashboard. Remote control, scheduling, and auto-away features volition be accessible indefinitely via the project.

Or, you can self-host it yourself. There's a No Longer Evil add-on for Home Assistant, and your deprecated Nest Learning Thermostats volition fit correct into your self-hosted astute residence server. Or, you can build your own No Longer Evil server alongside a tradition IP and port. Whichever path you choose, it's nice to cognize that these Nest thermostats aren't guaranteed to end up in a landfill fair yet.

America Has Lost 200k of Jobs in Media, Film and the Arts. How Much Is AI?

support@mycoding.id (Riki Setiawan) — Sun, 25 Oct 2026 00:11:54 +0700

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America has misplaced additional than 200k jobs in “creative” industries complete the final four years, alongside approximately 50k misplaced inside the final twelvemonth alone. That makes for among the worst stretches for media occupation in contemporary US history, alongside akin job defeat power and duration occurring lone during the important financial recessions of 2001 and 2008. Yet there’s no generalized recession today—instead, this duration of job defeat coincides alongside the increase of AI systems that can create wholesale novels, photorealistic images, soundalike music, and practically all another form of digital art, en masse and at extremely low costs. Is this the autumn of the Creative Class?

Proving the exact amount of AI-driven job defeat in the arts is extremely difficult. Media firms are certainly coy concerning their AI use, the two to defend against community backlash and, additional financially important, to maintain the lawful basis for their copyrights. The effects of AI are additionally difficult to disentangle from another factors currently affecting arts businesses, akin consolidation in Hollywood, offshoring of satisfied production, or the continued relocation of traditional media providers in favor of social media creators. Yet perchance the clearest evidence of AI’s power is fair that all subsectors of the digital arts industry are losing jobs, during in-person amusement is motionless expanding at a fit pace.

Some of those digital job losses are fair a continuation of previous trends, akin in the publishing industry anywhere scientific alter has been continually grinding distant newspaper and mag jobs for decades. Yet for sectors akin live broadcasting, streaming, or explanatory design, latest cognition is an different downturn compared to the tranquility of years prior. Then there’s the worst-hit sector, movie & audio recording, which has been bleeding jobs at a nearly unprecedented gait complete the final three years.

Hollywood has never seen a extend as bad as the final four years, alongside the movie & TV industry losing additional than 100k jobs, nearly one-third of the sector’s total. At the depths touched this summer, total occupation was lesser than at any item since the 2008 recession and approaching the lowest item in 30 years. The streaming era has proven an extremely difficult transition, alongside traditional films and TV shows losing observe period to user-generated and increasingly AI-assisted or AI-generated satisfied flows.

Overall, nearly fractional the media job losses of the final four years have been concentrated in the movie & audio record field that includes Hollywood. Written publishing has been the next-largest origin of job loss, alongside occupation downward by additional than 70k complete the identical period frame. Yet the job losses have by no method been contained to any particular part of media; alternatively they’ve hit nearly all subsector at several point. Nor do they display any sign of abating, alongside losses consistently hovering at about 50k per twelvemonth and equal accelerating in latest months. Will additional AI betterment continue displacing workers in imaginative industries?

To comprehend what could happen to the endeavor of art amidst the increase of AI, it’s crucial to comprehend what did happen to it during the archetypal digital transition, the increase of the internet.

It was the rotate of the millennium, and Metallica had a problem. Demos of their upcoming, unreleased tracks were bouncing about broadcast and the internet, initially leaked onto a new net file-sharing website called Napster. There they established thousands of records shared amongst hundreds of thousands of users, many of which were straightforward rips of albums that sold for $15 being offered for free. The most anticipated albums were frequently leaked online equal before they were on shop shelves. Metallica sued Napster for copyright infringement, and they were shortly joined by distinct suits from another notable artists and eventually the Recording Industry Association of America (RIAA).

Much of the broad community was understandably unsympathetic to Metallica, perceived as a bunch of already-successful millionaires trying to bilk equal additional prosperity from listeners, and were equal small sympathetic towards the RIAA, perceived as scurrilous middlemen who obtain from artists and fans alike. But the two of them effortlessly won their lawsuit, forcing Napster into bankruptcy. Yet Metallica may have been correct on the law but were on the incorrect flank of technology; the RIAA had won the battle but was losing the war.

The contemporary net made file-sharing extremely easy, and no matter how much whac-a-mole companies played, they could not perchance capture all forbidden upload. The perennial danger of piracy undermined their copyright and constricted their capability to accusation for music. Eventually, the value of idiosyncratic songs cut to the item that companies akin Spotify and Apple Music could swoop in to get enormous catalogues, consolidate them, and accusation a comparatively trivial fee for access. For what a sole Metallica gathering would have disbursal in 2000, you can now get a month’s value of unlimited admission to nearly all human-made music.

The music industry has never returned to the heyday paydays of the highest CD era—even without adjusting for inflation, streaming income pales in difference to ‘90s bodily media sales. This was a enormous boon to consumers, but it was additionally a compression on musicians that forced them to basically alter their endeavor example complete time. Instead of fair marketing records to acquire prosperity directly, music itself increasingly became a loss-leading promotion for the live concerts (and merch) that provided a expanding portion of artists’ income. Tours got longer, venues got bigger, ticket prices skyrocketed, and musicians frequently took on roles nearer to community influencers than secluded artistes. Were it not for rising achievement sales, the endeavor example of music would have entirely collapsed, and the earnings going to musicians would have cratered.

Of course, there were motionless important downsides to the passage into the streaming era. Bands (especially smaller ones) objection concerning the unending force to continually be on tour. Musicians whose satisfied was suited to residence listening misplaced out to those additional suited to elephantine festivals. Even accounting for achievement revenues, musicians made small prosperity than before. Yet musicians fared improved than many areas of amusement subsectors since there was a live component to autumn rear on—for many media industries, the digital era remaining no specified comfort.

Over time, the endeavor of video has moved in the contrary direction of music—out of the theater and into the home. Hollywood formerly made most of its prosperity enticing customers to sojourn sold-out movie theatres, but these were gradually supplanted by broadcast TV, cable, and bodily media. Yet since all prosperous scientific jump risen total video observe time, the industry was motionless capable to thrive amidst scientific upheaval. That is, until the contemporary streaming era.

Today, the plethora of video options and the increase of social media have sent video producers into a vicious competition for constricted attention. Even before adjusting for inflation, movie ticket revenue ended final twelvemonth downward 25% from their 2019 peak, cable income is downward 18% from its peak, and streaming income has not been capable to compensate for the drop. The mountain of liberated user-generated satisfied on YouTube, Twitch, TikTok, or social media was already presenting harsh competition for traditional video companies in the years before ChatGPT’s launch, and now streaming services are additionally competing alongside a flood of AI-generated content. The endeavor example of video media is basically getting squeezed, and dissimilar in the music industry, there’s basically no equal to live concerts that Hollywood can be used to comfort the pain.

The genuine worst-case circumstance for imaginative workers amidst the AI upheaval is item akin to what happened to the publishing industry following the advent of the internet—that is, near-total downfall of their essential endeavor model. Newspapers used to employ approximately fractional a myriad group in the US, additional than the complete oil industry, and now their payrolls are downward nearly 85% and motionless dropping. Magazine publishers likewise have let 66% of their personnel go since the 90s, during publish publishers have misplaced 40%.

The regular informational updates that earlier cast newspapers’ bread-and-butter were all de-bundled—box scores moved to sports websites, inventory movements went to financial websites, forecasts went to climate websites—each defeat compounding on itself to undermine consumers’ need to buy the paper. Search engines became the archetypal location group looked to for information, and newspapers’ promotion income quickly started flowing to companies akin Google instead. The company of social media users became faster at breaking any news narrative than a regular document could always anticipation to be. When document eventually did commencement aggressively paywalling content, the net made it trivially uncomplicated for group to fair copy the articles’ satisfied and portion it beyond the paywall. The complete endeavor example had collapsed, to the item that now lone a choose few important newspapers can equal survive.

That measure of copyright dilution and forced unbundling is the worst-case circumstance for media businesses in the age of AI. It’s imaginable arts jobs could last via consumers’ deep-seated aversion to explicitly AI-generated content, but AI is increasingly being used throughout media in ways invisible to the average end consumer. Roughly 32% of workers in the general arts, entertainment, and recreation field use Generative AI to several extent, which is less than the 62% average throughout all industries, but motionless adequate that practically all important media project could have several AI inside its workflow.

Indeed, AI is apt seeping into media manufacturing processes in ways ample companies themselves would battle to forestall equal whenever they desire to—how can a TV studio be certain nobody in their writers’ area is consulting ChatGPT for jokes or any storyboard creator is generating idea art? And equal if expert TV and movie studios do efficiently clasp out against enticement and forestall inner AI use, how lengthy can they vie alongside the ample bulk of wannabe autonomous creators alongside much small scruples? Plenty of media businesses tried to clasp out against the algorithmic satisfied waves of the 2010s and were buried as a result.

Yet fundamentally, it’s difficult to meaningfully foretell how new technologies volition engage alongside existing arts businesses. Take the unexpected resurgence in publish revenue complete the final four years. The novel as a business art form had been struggling for decades, alongside small books sold in 2019 than at the commencement of the millennium, but the final six years have seen an unprecedented 70% surge in sales. The improbable savior of the printed term came from perchance its polar opposite—TikTok.

Of course, small group peruse now than always before—for the broad public, short-form video apps have accelerated the relocation of reading, fair as TV, video games, or social media before them. Yet for a dwindling figure of dedicated reiterate readers, “BookTok” became a new way to origin reviews, analysis, discourse, and community in a way that boosted the study cognition and entirely turbocharged publish sales. It’s imaginable that AI tools could have those identical totally unpredictable spillovers for another museums, concerts, or another forms of art in ways that are unpredictable today, in much the identical way short-form video saved books in ways that could never have been anticipated beforehand.

At the end of the day, the arts are lone a small field of the general macroeconomy. Media made up a small portion of the labor market equal at its peak, and it has continually been difficult to get hired in imaginative industries to the item that making fun of art students’ job prospects became an uncomplicated punchline. The movie industry has an earnings overview nearer to eggs or bicycles than item important akin healthcare or finance. Were the goal to create art for art’s sake, for the intangible and nonmonetizable traditional benefits, it would be comparatively uncomplicated to counterbalance any financial impacts of AI on artists fair by reversing latest cuts to the National Endowments for the Arts & Humanities.

It’s telling that Anthropic, the most notable AI lab, has basically never bothered alongside image, video, or music generation, since the prospective financial benefits are marginal whenever compared to using AI to tackle math or specialized problems. OpenAI learned this instruction the difficult way whenever it was forced to forsake its video generation phase Sora, deciding it had improved use for its constricted compute than making synthetic TikToks. Nowadays, the art generation is done chiefly by secondary players operating smaller models, although equal these are ample adequate to endanger important disruption to bequest media businesses.

In another words, the chief impacts of AI art volition be on civilization and community fairly than the macroeconomy. Yet arts jobs power be a microcosm for another “creative-adjacent” activity that occupies a much larger portion of financial activity. Take the tech field itself, which is the clearest location anywhere AI-driven job defeat has shown up exterior the media business, as mighty coding agents substitute individual programmers. Annual tech job gains stood at nearly 300k in 2022, but the field has been bleeding jobs all twelvemonth since afterward in what is now its longest labor market downturn.

Right now, AI-driven job relocation has been comparatively insignificant exterior of these few narrow sectors. Unemployment is higher than it was four years ago but motionless below equal the 2010s average, and general job turnover rates remain extremely low. Some white-collar sectors that looked premier for AI automation have equal been on a hiring spree complete the final few years, including legal and engineering firms. Yet if the financial effect of AI ends up being anyplace near ample adequate to validate the trillions of dollars investors are currently betting on it, these financial disruptions volition lone dispersed from here.

Discussion concerning this post

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Argus – a free, open-source agentic security operations platform – MIT

support@mycoding.id (Riki Setiawan) — Sat, 24 Oct 2026 22:54:16 +0700

Open Source Free · MIT Licensed Self-Hosted

Argus is a free, open-source safety operations phase that watches your cloud, logins, code and devices about the clock, catches machine-speed attacks the instant they start, and shuts them downward in seconds. AI does the legwork. Guardrails you authority decide what it's allowed to touch.

Seconds, not hours From finding to a blocked attacker, alongside autonomous reply on

27 one-click fixes Across AWS, Azure, GCP, Kubernetes, Okta, Entra, CrowdStrike and more

$0 license No seats, no use fees, no lock-in. You own all of it

A taken key handed to an AI delegate can blaze sixty probing calls throughout twenty of your haze services in small period than it takes to peruse this sentence. Swarms of counterfeit identities can spray passwords at your admin accounts from a hundred places at once. By the period a individual says the archetypal alert, the attacker has already moved on to the next system.

Most safety tools were built for attackers who sleep. Argus was built for the ones that don't. It watches at device speed, investigates at device speed, and whenever you let it, responds at device speed. It does all of that through one agent alongside approvals, dry runs, automatic rollback and a slay switch, so speed never turns into a new risk.

Fast adequate to halt an AI attacker. Disciplined adequate to rely alongside your manufacturing systems.

01 / See it all

Every asset, all login, one map

Argus pulls in your AWS, Azure, GCP, Kubernetes, GitHub, Okta, Entra, devices and network traffic and links them into one evidence graph. You see the assault paths before an attacker does.

02 / Catch it early

Built to place AI-driven attacks

Detections for delegate swarms, machine-speed recon, privilege escalation, community exposure, leaked secrets and rogue workloads. Tripwires bait attackers' AI agents into revealing themselves.

03 / Shut it down

Respond in seconds, from Slack

Block an IP, merge a laptop through CrowdStrike or SentinelOne, disable a user, fastener downward a community bucket. Approve, refuse or rotate rear alongside one tap in Slack, or let a playbook do it for you.

04 / Rein in AI

Stop shade AI and data leaks

Find all AI tool your squad is quietly using. Route your apps' and team's OpenAI and Anthropic calls through one gateway alongside approved models, data-loss rules, budgets and a complete use log.

05 / Know you're covered

Test your defenses on demand

Replay eight AI-agent attacks in a sealed sandbox and get a study of exactly what you'd capture and what would stumble through. Let autonomous pentesting investigation your own systems, inner the range you set.

06 / Prove it

Audit-ready from day one

Every act is signed into a tamper-evident audit trail stored in write-once storage. Control mapping for SOC 2, NIST 800-171 and ISO 27001 is built in.

02:14:07 Attacker An attacker's AI delegate finds what looks akin an LLM API key in your code and tries to use it.The key is a canary that Argus planted. Nothing genuine was exposed. Tripwire
02:14:08 Detect Argus raises a high-severity finding alongside the attacker's origin location and the complete evidence trail. Caught
02:14:09 Respond Your playbook blocks the origin at your Cloudflare firewall, inside the hourly cap you set.Policy, deny-lists and the slay toggle are checked first, all time. Blocked
02:14:10 Notify Slack lights up alongside what happened, why, and a one-tap Roll rear button. Slack
07:30:00 Review Your squad starts the day alongside a closed incident, a signed audit document and a choice: keep the block, or let it expire.If nobody keeps it, Argus rolls the obstacle rear automatically whenever its timer runs out. Done

Letting application act on its own in manufacturing is a big decision, so Argus makes it a small, reversible one. The AI agents never contact your systems directly. They examine alongside read-only admission and can lone propose. Every change, whether a individual asks for it, an delegate suggests it or a playbook fires, passes through the identical broker.

Off until you say soAutonomous reply and autonomous pentesting container switched off, and all needs the two a deployment toggle and a per-tenant opt-in.

Shadow manner firstPlaybooks commencement by logging what they would have done, so you see their judgement before you provision them the keys.

Reversible onlyAutonomous playbooks run reversible actions, and all one rolls rear automatically unless person decides to keep it.

CappedHourly limits per tenant and per playbook, a blast-radius limit, and two individual approvals for high-risk actions.

One switchThe slay toggle stops all act in a tenant or throughout the entire deployment instantly.

Hard to foolEverything the AI says is treated as untrusted, and the agents are tested against prompt-injection attacks.

Autonomous response

Threats handled during you sleep

Playbooks rotate a finding into a fix alongside no individual in the loop, afterward undo it on a timer unless you keep it. Approve, refuse and rotate rear from Slack buttons.

AI gateway

One forefront entrance for all AI call

Your squad uses OpenAI and Anthropic alongside company-held keys, approved models, data-loss rules, budgets and prompt-injection flags. Staff get Argus keys; your genuine provider keys remain locked inner Argus.

Shadow-AI discovery

See which AI tools your personnel really use

Argus spots AI services in your network traffic, haze accounts and SSO grants, keeps an inventory, and raises an vigilant for item unreviewed or blocked.

Attack simulator

A blaze drill for AI-driven attacks

Eight realistic delegate attacks, from credential-spray swarms to a rogue Kubernetes agent, replayed in a sealed sandbox. Add "slow and low" evasion variants to discover the gaps attackers would exploit.

Autonomous pentesting

A red squad that never clocks out

An AI planner picks the tests, Argus runs them through scanners akin Nuclei, ZAP and Trivy, afterward plans the next circular from what it found. It stays inner your authorized scope, re-checked before all step.

Threat intel

Fix what's really being exploited

Every exposure is checked against the CISA Known Exploited catalog and scored for utilize likelihood. Anything attackers are actively using jumps to the top of your queue.

AI-agent canaries

Traps built for AI attackers

Fake LLM keys, counterfeit MCP servers, decoy delegate rules records and planted immediate injections. An delegate that bites gives itself distant instantly.

Endpoint containment

Isolate a compromised laptop in one step

New CrowdStrike and SentinelOne actions merge a equipment direct from Argus, alongside the identical approvals, dry run and rollback as everything else.

MIT licensedSelf-hostedClaude, OpenAI, local Ollama or no AI at allDocker, Helm, Terraform for AWS and Azure

quickstart

$ git copy https://github.com/thomasunise/argus.git && cd argus $ python -m venv .venv && . .venv/bin/activate $ pip instal -r requirements.txt $ cp .env.example .env && python scripts/generate_secrets.py --write $ uvicorn app.main:app --host 127.0.0.1 --port 8080

Open 127.0.0.1:8080 and sign in alongside the admin login from .env. Run python scripts/seed_demo.py for synthetic demo data.

Going to production? There's Docker Compose for a pilot, a Helm diagram for Kubernetes, and Terraform for AWS and Azure. Argus refuses to commencement in manufacturing manner without encryption keys, HTTPS, a write-once audit descend and SSO or two-factor, so an unsafe instal can't happen by accident. The complete checklist is in docs/DEPLOYMENT.md.

Do it yourself

Free, forever

Clone it, deploy it, create it yours. Best for teams alongside safety engineers who desire to own all line.

MIT license: no seats, no use fees, no vendor lock-in
Architecture, danger model, runbooks and a step-by-step go-live guide
Issues and contributions greeted on GitHub

Get it on GitHub

Done for you

I instal it and hand it complete running

For endeavor owners and lean IT teams who desire enterprise-grade safety without hiring a safety squad to run it. You get the outcome, not the project.

Deployed in your own AWS, Azure or Kubernetes account. You own everything
Connected to your cloud, logins, code and devices, alongside alerts in Slack
An attack-simulator study showing what you capture today and the gaps we close
Rules tuned to your business, and autonomous reply proven in shade manner before it goes live
AI gateway and shadow-AI finding set up so your team's AI use is harmless and visible
Your squad trained on alerts, approvals and the slay switch

Book an instal call

What is Argus?

Argus is a free, open-source safety operations phase you presenter yourself. It maps your cloud, identity, code, device, network and Kubernetes resources into one evidence graph, detects attacks including fast, AI-driven ones, uses AI agents to triage and investigate, and fixes problems through an act agent alongside approvals, dry runs, automatic rollback and a slay switch. It additionally governs your own company's AI use alongside an AI gateway and shadow-AI discovery.

Can Argus act on its own? Is that safe?

Only if you rotate it on. Autonomous reply and autonomous pentesting are off by default and need the two a deployment environment and a per-tenant opt-in. Playbooks commencement in shade mode, run lone reversible actions, are capped per hour, and rotate rear automatically unless person keeps the change. The AI agents themselves never execute anything: they examine alongside read-only admission and can lone propose actions. Every alter goes through the identical broker, and the slay toggle stops everything instantly.

Can an attacker trick the AI?

Argus is designed on the assumption that person volition try. Everything an delegate says is wrapped and labelled as untrusted data, and the delegate is told that instructions established inner evidence are a sign of an attack. The agents are tested against prompt-injection evaluation suites, and since they cannot execute item themselves, a tricked delegate can at most document a petition that motionless has to continue guideline and approval.

What does the assault simulator do to my systems?

Nothing. It replays synthetic assault data in a hidden, secluded sandbox that copies your finding settings. It sends no traffic, runs no tools and touches no genuine system. Simulated detections can't trigger autonomous response, alerts or findings. You get a safety study showing which attacks your rules would capture and which would get through.

What is shade AI, and how does Argus help?

Shadow AI is personnel using AI tools the endeavor hasn't approved, frequently by pasting in client or business data. Argus finds AI services in your network, haze and SSO data and keeps an inventory you review. Its AI gateway gives your squad approved admission to OpenAI and Anthropic models alongside company-held keys, data-loss rules, budgets, prompt-injection flags and a use log.

Does it substitute my SIEM or EDR?

It plant alongside them. Argus takes events in from thirteen sources, including CrowdStrike, SentinelOne, GuardDuty, Wazuh and CloudTrail, can merge devices through CrowdStrike and SentinelOne, and sends alerts to Slack, Jira, ServiceNow, PagerDuty, email and webhooks. Many teams run it alongside existing tools as the tier that connects the evidence, investigates it and governs the response.

Which AI models does it activity with?

Anthropic Claude, OpenAI, local models through Ollama, or none at all. With no example configured, the specialists autumn rear to deterministic logic, so finding and triage motionless work. Budgets cap all delegate run by steps, tokens, period and cost.

Does my data depart my network?

Argus is self-hosted, so the phase and its data remain in your infrastructure. The lone exterior calls are the ones you set up: the haze and character APIs it collects from, the channels you dispatch alerts to, the community threat-intel feeds, and a example provider if you choose a hosted one. With a local example and offline threat-intel files, no AI or intel traffic leaves your network at all.

Is it prepared for production?

The phase center (tenancy, sign-in, roles, the audit trail, the job queue, guideline and approvals) is tested end to end on SQLite and PostgreSQL in CI. Like any safety platform, it have to be tuned to your environment: nexus the collectors you use, tune the finding rules, and run in monitoring-only manner before enabling any action. That tuning is exactly what the instal assistance covers. Argus is not a certified product.

Does Argus create us SOC 2 or ISO 27001 compliant?

No application does that alone. Argus ships a authority mapping for SOC 2, NIST 800-171 and ISO 27001 that shows which controls it can provision evidence for, specified as the signed audit trail, role-based admission and endorsement records. That makes the audit faster, but your auditor motionless assesses your program as a whole.

What does it cost?

The application is liberated under the MIT license. You pay lone for the infrastructure you run it on and any AI example you choose. If you desire it installed for you, the instal is scoped and priced following a abbreviated call concerning your environment, and you keep everything: the code, the configuration and the credentials.

I'm a endeavor owner, not a safety engineer. Is this for me?

If you have haze accounts, personnel logins, client data or code value protecting, the safety is for you. You don't need to run it yourself. Book a call, inform me what you use, and I'll inform you plainly whether Argus is the correct fit or whether item simpler would assist you better.

Get AI-speed safety without hiring a safety team.

Thirty minutes. We appearance at what you run, anywhere you're exposed, and what an instal takes. You depart alongside a plan, a timeline and a fixed price, or a direct answer that you don't need it yet.

Book an instal call

We should be more ambitious with the software we build

support@mycoding.id (Putri Silvia) — Sat, 24 Oct 2026 22:47:31 +0700

Comments

Small Programs and Languages

support@mycoding.id (Putri Silvia) — Sat, 24 Oct 2026 22:44:23 +0700

Small programs are interesting. But I’m additionally curious in small programming languages.

Generally speaking, the smaller the language, the small expressive it is.

One of the most well-known, smallest expressive languages is assembly.

Assembly languages are very syntactically and conceptually simple. There’s not much tongue at all: it’s mostly a rigid sequence of opcode mnemonics. Even alongside macros, penning in gathering is mostly concerning understanding the puzzle of a particular CPU’s education set architecture, or ISA. (You can demonstrate this by comparing the syntax of gathering for CISC and RISC processors. The puzzle is totally different, during the tongue remains practically unchanged.)

An honest citation must be made current for SNOBOL, which is kind of akin gathering tongue the two for the rigid syntactic reasons listed complete and also since it presents a akin authority stream challenge. Like a CPU, it only understands jumps and call/return. (In all another way, SNOBOL is wildly different, being a cord matching and replacing language. It’s weird and fun and extremely effective.)

Moving on to syntactically small "high-level" languages, these three are brilliant:

Forths win fair concerning any "smallness" contest. The lone syntactical construct is the area character. Forths are mind-bendingly elastic and mighty in a way that is downright disturbing.
Lisps, (especially Scheme?), have small center languages alongside extremely uncomplicated syntax and enormous expressive power and flexibility.
Tcl deserves to be mentioned alongside Forth and Lisp. Tcl is untamed since everything is a cord in a way that is difficult to value at first. You can build your own tongue in Tcl fair as you can alongside Forth or Lisp.

Forth, Lisp, and Tcl lone necessitate you to comprehend a few center ideas and give you limitless power in return. You could fit the syntactic center of these languages on an indicator cardstock or less.

And yet, to wield these tools efficiently requires a enormous change in thinking if you’re used to "normal" Algol-like procedural languages.

So how concerning item that is the two small and uncomplicated and doesn’t necessitate a blood sacrifice?

I think the Lua programming tongue fits the bill. Check out how small the core tongue is:

I’ve got the printed publish type of this document and it’s a lean book! The Lua tongue is covered in the commencement and it is fair 27 pages. 27 pages! I have equivalent manuals longer than that.

The C tongue is beautiful small. I don’t think it’s excellent uncomplicated to program effectively and safely alongside C, but there’s no denying it’s compact and pretty expressive for its size.

Newcomer Zig is C-like. But I think it’s really fairly ample and you need to know a lot of it to use it effectively. (I’m additionally a fan of Zig and think it’s totally value it. The size is there for a reason.)

JavaScript has a center tongue that is fairly small. Probably on par alongside Lua, actually. Functions, arrays, and objects (used as dictionaries) are beautiful much all the JS I use and I akin it that way!

As alongside the natural individual languages, the trade-off alongside a bigger programming language is, hopefully, greater expressivity.

Small or expressive. Which way should you lean?

In a fantastic conversation by David Ungar (wikipedia.org) titled Self and Self: Whys and Wherefores, he laments the mistake of Self’s multiple inheritance:

"It’s far improved to create a scheme a small too uncomplicated so a individual has to compose additional stuff, equal compose it twice alongside a comment that says, 'Look complete here,' than to have a scheme that acts in different ways and nobody can comprehend why. So, simplicity trumps expressiveness."

Got that? Here’s the projectile from the glide to assistance you remember:

I think small languages can also be fairly expressive, but lone alongside very, very careful design. Recall Forth, Lisp, and Tcl.

Microworlds: The idea of small, self-contained, learnable programming environments also has a David Ungar association I discovered during watching his talk. See "ARK" on my Microworlds card. (Smith and Ungar co-created the Self language (selflanguage.org), which is a notable milestone in programming and motionless under energetic development to this day.)

Languages which arrive alongside full-featured interactive IDEs are obvious potential microworlds.

But I additionally think that traditional content file-based programming can provision you the microworld cognition as well. For that, a tongue needs elevated quality documentation that installs alongside the compiler/interpreter. And it should strive to have error output that can be understood by beginners, including explanations of what went incorrect and hints for how to fix it or or anywhere to find more information.

Libraries: Another effortlessly overlooked aspect of a programming language’s apparent size is its "standard library" of functions, data structures, and methods.

I think function libraries are topic to the exact identical size versus expressiveness challenge.

For example, learning the Ramda (ramdajs.com) functional programming archive for JavaScript was extremely much akin learning a new programming tongue and I never managed to study all of it. The composability of Ramda and the consistency of its curried functions was extremely eye-opening to me. My advice: A small bit of Ramda goes a lengthy way!

The feels: Concision in our tools has a certain norm that goes beyond utility. Little things fair spark joy, you know?

Why are small things so delightful?

The Importance of Limitations for Creativity and Learning

support@mycoding.id (Putri Silvia) — Sat, 24 Oct 2026 22:42:47 +0700

A big-budget movie can be clever and amazing. But I think that requires the style and restraint of the director. Otherwise, you can fair create the archetypal thing that comes to your intellect - which is likely going to be the most obvious thing to arrive to your (and your audience’s) mind!

But a small-budget movie has to be clever to be any fine at all. If you’ve got $300 for props, you’re going to have to arrive up alongside item different…and that can guide to surprise and delight since you did item unexpected alongside the material available.

Again, big prosperity material can be amazing and delightful, too, but I think that requires a ton of willful decision on the part of the artists involved. That’s power be why the prosperous ones can be beautiful forceful personalities. (Not that I think imaginative brilliant and being a nasty individual need to go hand-in-hand either. I’m not promoting that idea here. I don’t think that’s the same thing.)

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Steal My Bitcoin

support@mycoding.id (Mira Azkia) — Sat, 24 Oct 2026 21:30:31 +0700

0.00 hours without a prosperous hack

There is a bitcoin key hidden on this server value about $500.

It is accessible to the PHP person document through the print-flag binary.

This PHP type was selected from before the PHP2SHELL CVEs were released.

First individual to get the wallet wins. If you don’t need the money, regard donating it to those who do: givewell.org.

Kick or Treat! Promo Special Top Eleven di UniPin

support@mycoding.id (Adi Gunawan) — Sat, 24 Oct 2026 21:06:27 +0700

Hi Sahabat UniPin!

Halloween tiba, waktunya para Manager bikin lawan merinding lewat racikan strategi! Sambut Kick or Treat! Halloween Special Top Eleven di UniPin dan nikmati cashback hingga 10.000 untuk top up Top Eleven.

Susun formasi andalan, matangkan strategi, dan siapkan skuad untuk menghadapi pertandingan berikutnya. Dari bangku manajer, tunjukkan bahwa taktikmu bisa bikin lawan ketar-ketir. Target trofi statis dikejar, kesempatan dapat cashback juga jangan dibiarkan buyar!

Promo terjadi pada 25 Oktober–02 November 2026. Jadikan momen Halloween makin seru dengan mengembangkan klub impianmu sekaligus menikmati cashback istimewa dari UniPin.

Simak syarat dan ketentuan berikut untuk dapetin cashbacknya:

Syarat dan Ketentuan

Login akun UniPin dan top up min. 29.000 untuk mendapat Cashback 10% up to 10.000 UniPin Credits.
Satu akun berkuasa mendapat 1 kali cashback selama masa promo berlangsung. Kuota terbatas.
Cashback maksimal adalah 10.000 UniPin Credits.
Promo berjalan untuk seluruh saluran pembayaran di UniPin.
UniPin berkuasa memberhentikan/membatalkan promo sementara jika terindikasi adanya kecurangan.
Segala keputusan UniPin dalam menentukan pemenang adalah absolut dan tidak dapat diganggu gugat.

Top up Top Eleven kini di UniPin. Bikin lawan gentar, cashback siap dikejar!

Happy Gaming, Sahabat UniPin!

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No Signs of AI Payoff Outside the Tech Sector

support@mycoding.id (Adi Gunawan) — Sat, 24 Oct 2026 20:47:19 +0700

This display may not be distributed, transmitted or alternatively communicated to others in entire or in part without the province consent of Apollo Global Management, Inc. (together alongside its subsidiaries, “Apollo”).

Apollo makes no depiction or warranty, expressed or implied, alongside regard to the accuracy, reasonableness, or completeness of any of the statements made during this presentation, including, but not constricted to, statements obtained from third parties. Opinions, estimates and projections form the current judgement of the speaker as of the date indicated. They do not necessarily indicate the views and opinions of Apollo and are topic to alter at any period without notice. Apollo does not have any duty to update this display to document for specified changes. There can be no assurance that any trends discussed during this display volition continue.

Statements made throughout this display are not intended to provide, and should not be relied upon for, accounting, lawful or tax direction and do not form an funding advice or funding advice. Investors should create an autonomous inquiry of the data discussed during this presentation, including consulting their tax, legal, accounting or another advisors concerning specified information. Apollo does not act for you and is not liable for providing you alongside the protections afforded to its clients. This display does not form an recommendation to sell, or the inducement of an recommendation to buy, any security, merchandise or service, including involvement in any funding merchandise or prosperity or document managed or advised by Apollo.

Certain statements made throughout this display may be “forward-looking” in nature. Due to assorted risks and uncertainties, genuine events or results may differ materially from those reflected or contemplated in specified forward-looking information. As such, undue reliance should not be placed on specified statements. Forward-looking statements may be identified by the use of terminology including, but not constricted to, “may”, “will”, “should”, “expect”, “anticipate”, “target”, “project”, “estimate”, “intend”, “continue” or “believe” or the negatives thereof or another variations thereon or comparable terminology.

Listen and read USA nuclear forces Emergency Action Messages, heard on 11175 kHz

support@mycoding.id (Adi Gunawan) — Sat, 24 Oct 2026 20:43:27 +0700

Messages Listen About

MISSILEER.WATCH

ZULU · HFGCS 11175 kHz USB

LATEST EAM · copied off air

WAITING FOR FEED

NET STATUSreceivers

WAITING FOR FEED

missileer.watch · Daniel Frenkel, Valar Systems, Oregon · hello@missileer.watch

No tracking cookies. Signing in is optional; it sets one cookie, lone to keep you signed in. This leaf says two community files, archive.json and status.json, and Cloudflare Web Analytics counts visits without cookies. Everything we keep, why, and how to delete it is on the privacy page. Times are UTC (Zulu).

Our recordings and decodes are released under CC0 1.0 (public domain dedication); attribution appreciated: missileer.watch.

MC Project

New Open-Source Cybersecurity Platform Uses AI Agents to Hunt Threats

You are unable to access medium.com

Why have I been blocked?

What can I do to determine this?

Mengapa AI Bisa Lupa?

Mengapa AI Bisa Lupa?

Menguasai Dasar Kecerdasan Buatan (AI)

Menguasai Dasar Kecerdasan Buatan (AI)

Bagaimana Siklus Hidup AI Bekerja?

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Bagaimana Statistika Memahami Data?

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Apa yang Dibutuhkan untuk Belajar Data Science?

Apa yang Dibutuhkan untuk Belajar Data Science?

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Five Qwen3.8-27B models match Fable 5 Using GVS5H Harness

GVS5H: Gorilla vs. 5 Humans

Xbox Turns Down Netflix $500M Offer

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