🚨 UPDATE: Grayscale files S-1 amendment for its Bittensor ($TAO) trust.

🚨JUST IN: Coinbase’s x402 payments protocol will be stewarded by the Linux Foundation, with support from major tech and finance firms.

Anthropic accidentally leaked their entire source code yesterday. What happened next is one of the most insane stories in tech history. > Anthropic pushed a software update for Claude Code at 4AM. > A debugging file was accidentally bundled inside it. > That file contained 512,000 lines of their proprietary source code. > A researcher named Chaofan Shou spotted it within minutes and posted the download link on X. > 21 million people have seen the thread. > The entire codebase was downloaded, copied and mirrored across GitHub before Anthropic's team had even woken up. > Anthropic pulled the package and started firing DMCA takedowns at every repo hosting it. > That's when a Korean developer named Sigrid Jin woke up at 4AM to his phone blowing up. > He is the most active Claude Code user in the world with the Wall Street Journal reporting he personally used 25 billion tokens last year. > His girlfriend was worried he'd get sued just for having the code on his machine. > So he did what any engineer would do. > He rewrote the entire thing in Python from scratch before sunrise. > Called it claw-code and Pushed it to GitHub. > A Python rewrite is a new creative work. DMCA can't touch it. > The repo hit 30,000 stars faster than any repository in GitHub history. > He wasn't satisfied. He started rewriting it again in Rust. > It now has 49,000 stars and 56,000 forks. > Someone mirrored the original to a decentralised platform with one message, "will never be taken down." > The code is now permanent. Anthropic cannot get it back. Anthropic built a system called Undercover Mode specifically to stop Claude from leaking internal secrets. Then they leaked their own source code themselves. You cannot make this up.

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

Bittensor has evolved beyond AI inference. Templar's Covenant-72B trained 72 billion parameters on 1.1 trillion tokens without a centralized cluster, the largest decentralized pre-training run to date. Over 70 permissionless nodes on commodity internet connections achieved 94.5% compute utilization and outperformed LLaMA-2-70B on MMLU. Subnets are growing across distinct use cases like drug discovery and autonomous driving.

Very soon there are going to be more AI agents than humans making transactions. They can’t open a bank account, but they can own a crypto wallet. Think about it.

Jack Dorsey owned Block $XYZ just announced it is laying off roughly 50% of its workforce or 4,000 employees - CNBC Block stock is up by 20% 🟢 in after-hours

Not Solana, but Ethereum is the ideal blockchain for AI. If the thesis is that AI agents will become real economic players—allocating capital, calling APIs, and delivering work products, then the trust layer has to be built on a decentralized, neutral infrastructure, not some centralized system that's prone to crashes and downtime. Ethereum's Strengths - Super decentralized with zero downtime over 10 years - Worldwide access, censorship resistance, and composability since 2015 - Strong institutional trust and a massive developer ecosystem - As the originator of ERC-8004, Ethereum lays down the ultimate trust foundation for AI agents. 🧵Here's an ERC-8004 map highlighting why Ethereum is the top blockchain for AI:

This Polymarket trader made $500,000 using his ClawdBot script Hard to believe, but this guy built the script in 5 hours and is already making solid money He’s not a genius He’s not an insider And he’s not the creator of Polymarket He’s just a regular trader who decided to write his OWN personal script Profile → polymarket.com/@kingofcoinfl… I figured out how he can be copy-traded with minimal delay Copytrade → ratio.you/r/BP9FKCC4 After breaking down his entire script, I was honestly a bit surprised No huge databases No insanely complex infrastructure Nothing rocket-science level Here is the full strategy of the script: Bets are placed not on event outcomes, but on price inefficiencies Thousands of fast trades accumulate into a massive total profit In calm markets, risks stay minimal, while strong trends allow capital to grow rapidly Most traders can’t react fast enough, but the bot turns market delays into real money.