Local LLMs are the Great Leap Forward for Inference. Every laptop is it's own datacenter, sovereignty over your own tokens, and the people can seize the means of token generation. And that's why it's destined for poor results. (1/4)🧵

One of my personal favorite features announced at WWDC will I suspect be a sleeper hit: container machines, allowing your Mac to run a lightweight, persistent Linux environment with your home directory and repos automatically mounted: github.com/apple/container/b…

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

Apple's On-Device Model Architecture

SITUATION DETECTED: Anthropic to release Mythos tomorrow, per Sources.

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.

This is a pretty striking shift toward Chinese models by American AI startups since the start of the year. substack.com/@profgmarkets/p…

A must read 0xkato.xyz/how-llms-actually…

The art of Moebius, aka Jean Giraud.

🦔Blackstone just capped withdrawals from its $79 billion flagship private credit fund BCRED at 5% of shares after redemption requests hit 10% in Q2. That's up from a then-record 7.9% in Q1. Switzerland's Partners Group is also restricting redemptions in a European private equity fund and warned the withdrawals are now spreading from private credit into private equity. Pimco's CIO Daniel Ivascyn said last week that higher losses are coming and the industry is in "the first sustained default or loss cycle in many, many years." Blackstone's COO called the withdrawal caps "a feature, not a bug." My Take Redemption requests went from 7.9% to 10% in one quarter. Blackstone covered Q1 by raising their cap and tapping employee capital, and still had a net outflow. That's not sustainable. Partners Group is seeing the same pressure in Europe and used the word nobody in private markets wants to hear. The withdrawals are spreading. Credit into equity. A $150 billion firm warned its own investors that this isn't isolated. Private credit has quietly financed a lot of the AI buildout. SoftBank's $40 billion bridge facility, leveraged data center deals, the infrastructure bets behind every hyperscaler's capex forecast. If the funds behind those bets start gating withdrawals because investors want out faster than the assets can cover, the capital pipeline that supports AI spending tightens fast. SpaceX just launched the largest IPO in history. Anthropic filed its S-1. Both need public markets to pick up where private capital is pulling back. The private side of this market is showing stress at the exact moment the public side is being asked to absorb trillions in new AI valuations. That's a bad combination in my eyes. Hedgie🤗

Can we see 128 TB in future ??

BREAKING NEWS: according to CloudFlare Radar Data, Agentic traffic has SURPASSED human traffic across the worldwide internet for HTML webpages.