Unreal Engine 5.8 ships today with experimental MCP server support:
Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together: https://t.co/cDITLWWv2F
📣 TypeScript 7's Release Candidate is now out! 📣
The new native port is almost here. Try it out on your codebases, and make sure your team is ready for the upcoming 7.0 release!
https://t.co/WBCvxYHoJX
This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on everything by a margin but I'll add that *qualitatively* also, this is a major-version-bump-deserving step change forward (imo of the same order as Claude 4.5 was in November), peaking especially for long problem-solving sessions on very difficult problems. You can give it a lot more ambitious tasks than what you're used to, the model "gets it" and it will just go, and it's never felt this tempting to stop looking at the code at all (but don't do this in prod!). The model still has quirks that people will run into and the safeguards are configured to be a little too trigger happy for launch, which can hopefully be tuned over time.
I feel a lot of things changing as working software increasingly comes out on a tap. The Jevon's paradox kicks in and I feel my own demand for software growing substantially. You can ask for anything - explainers, visualizers, dashboards, bespoke single-use apps (e.g. a full wandb that is hyper-specific just for your project), you can 10X your test suite, auto-optimize code, run giant research projects with custom HTML for the results, anything! "Free your mind" (Matrix ref). Really looking forward to all the things people build!
Google Translate has come a long way since 2006.
Now, each month our translation tools support:
🗣️ Nearly 250 languages
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💬 1 trillion+ words translated across our ecosystem
A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name.
He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping.
His name is Fabrice Bellard.
Here is the story, because almost nobody outside the systems programming world knows what one man has built.
Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code.
In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years.
Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it.
He was not done.
In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth.
He kept going.
In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real.
In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark.
Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory.
Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org
He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links.
A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet.
He is still shipping.
Elixir v1.20 released! Now officially a gradually typed language: Elixir type checks every single line of code, finding bugs and dead code, without developer overhead (no typing signatures) and extremely low false positives rate. Plus a faster compiler! Links and reports below.
introducing Pullfrog — the open source CodeRabbit alternative that runs in GitHub Actions
🐸 OSS
🐸 model-agnostic
🐸 transparent pricing: 7¢/run (plus model costs)
🐸 BYOK (or use our at-cost model router)
🐸 does PR review, issue triage, coding tasks, etc (just tag @ pullfrog)
there will be a blog post about this. on what this means for bun, benchmarks, memory usage, maintainability going forward, and also the literal process of doing this (it wasn’t just “claude, rewrite bun in rust. make no mistakes”)
this is a 960,000 LOC rewrite, the code truly works, passing the test suite on Linux and soon other platforms. e2e I started working on this 6 days ago. this would’ve been a massive amount of work by hand.
Peekaboo 3.0 is live. Biggest release since 2.0.
⚡ Action-first macOS computer use
👁️ Unified screenshot + UI detection
🧩 Cleaner JSON across CLI + MCP
🛠️ Better snapshots
I started this last year, but the models just weren’t good enough. Now they are. https://t.co/0wvhR0NWOj
@VCrosoft Probably because Diablo IV runs on a brand new engine where they can make such things. WoW runs on a very old engine that was updated for sure but will never be as performant as a new engine built from scratch in the last 5 years. It has nothing to do with competence or smth else
We're excited to partner with Google to offer Grounding With Exa inside of Gemini models!
Using Exa's agent-first search, Gemini models can now access billions of websites, technical docs, papers, people, companies, and more.
10^18🤝10^100
A completely local agent that lives right inside your browser.
Powered by Gemma 4 E2B and WebGPU, it uses native tool calling to:
🔍 Search browsing history
📄 Read and summarize pages
🔗 Manage tabs
100% local. No servers needed!
Yann LeCun (@ylecun ): Sillion Valley is "completely LLM-pilled"
"In the end, if you’re interested in building systems that have the intelligence of, let’s say, a cat, let alone humans, you need common sense. You need the ability to predict the consequences of your actions.
You need the ability to plan. You need the ability to reason.
And you’re not going to get this with VLA, VLM, or LLM or any generative architectures."
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From 'AI House Davos" YT channel (full link in comment)
Finally, @Tan_Stack Start now supports React Server Components!
Start's RSCs are a truly fetchable, cacheable and composable primitive that work with your favorite tools instead of dictating your entire architecture.
Oh, and one more thing... "Composite Components" 😉
🔗⬇️🧵
@BnBEcho@Wowhead has nothing to do with "eyes" just a huge unfair advantage when using addons. I still don't want to use them tho. Its impossible to play above 3k in M+ without them, you'll not even get invited to groups ;)