Noam Shazeer - co-author of the Transformer, T5, and Switch Transformer papers, and one of the pioneers of sparse MoE models - is leaving his VP Engineering / Gemini co-lead role at Google DeepMind to join OpenAI This is likely the most significant AI talent move of the year. It makes you wonder what’s going on at Google

Microsoft has fine-tuned a version of DeepSeek and is considering it as a lower-cost alternative to OpenAI and Anthropic models for Copilot Cowork. Huge development considering the history of the OpenAI/MS relationship.

Typical coding day with Claude (Opus 4.8) - explain to Claude the task (5 minutes) - Claude implements task (10 minutes) me: "Why is this necessary?" Claude: "You're right to push back! I over-engineered this!" - Repeat x87 times (13 hours)

It's actually le gros chaton

Kimi 2.7 ranked 2nd after Fable 5 and before GPT-5 xhigh We have re-run our ErdosBench smoke test on 14 problems with Kimi 2.7, Qwen 3.7 Max, Grok 4.3 and compared it with the top performers from previous runs. Kimi 2.7 is amazingly good. More below.

Scenario: europe2031.ai Summary: europe2031.ai/summary Audio: europe2031.ai/audio/ The ⭐⭐⭐ team: Daan Juijn, Stan van Baarsen @DadaJudith Lily Stelling, @philip_fox_ @AlexTPet @TomChivers

I bet Mistral.ai valuation jumped suddenly. Same for any non US player. The world is learning from this US admin how depending on US technology is a liability. As French I fully get it. As an employee of a US company I regret it. This is bad for me a non US national, and this is bad for the US company that employs me.

Fascinating how quickly Commerce can move on unsubstantiated Anthropic jailbreak claims, while taking forever to deal with well-documented NVIDIA chip smuggling

Claude Fable 5 is down, here's a backup AI link: elizachatbot.com/

Today @Citadel has come out and covered the shift toward cheaper AI models This is squarely in line with my thesis x.com/Moshaikh/status/206471…

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.

LARRY ELLISON: AI IS RAPIDLY COMMODITIZING BECAUSE MOST MODELS ARE TRAINED ON THE SAME PUBLIC INTERNET DATA. THE REAL COMPETITIVE EDGE ISN’T THE MODEL ANYMORE — IT’S ACCESS TO EXCLUSIVE, PROPRIETARY DATASETS. THAT MAY BE THE ONLY MOAT LEFT.

Why Paris may be the most important AI city outside Silicon Valley techcrunch.com/2026/05/28/wh…

Real-time neural rendering model @moonlake Works on from any physics/game engine to close the sim-to-real gap. If this is relevant to your team, I'd love to chat (my DM is open)!

In 2023, a study tracked 24,000 professional athletes across 150 years of records. Published in Science Advances. The discovery: how fast an athlete’s performance declines predicts how long they live. Not during their career. Decades after retirement. The speed of decline is itself a biomarker for aging. Tonight, the @enhanced_games are publishing every drug protocol, running medical teams, and measuring performance to the hundredth of a second. 42 athletes. All young. All on testosterone and growth hormone. But imagine the same format applied to aging. A retired sprinter. 55 years old. Personal best of 10.3 seconds from 25 years ago. Currently running 11.8. You put them on a rejuvenation protocol, published, supervised, same infrastructure. They run 10.9. In one race, you’ve demonstrated what the longevity field has been trying to prove for a decade. And everyone watching understood it without reading a single paper.

Blackrock CEO Larry Fink said: "The United States 🇺🇸 is short power, short compute, short chips. There are going to be shortages in all three. We just don't have enough compute power right now."

Mass slopification

Jack Clark Co Founder of Anthropic: “I'm writing this post because when I look at all the publicly available information I reluctantly come to the view that there's a likely chance (60% ) that no-human-involved AI R&D - an Al system powerful enough that it could plausibly autonomously build its own successor - happens by the end of 2028. This is a big deal. I don't know how to wrap my head around it.”

An epic Paris of the future, illustrated by Moebius, aka Jean Giraud.

This is so weird, why is Google, the world's biggest search engine, using another startup's search engine?