this is a message to vitalik.eth

saw Andrej Karpathy drop autoresearch this week the idea: AI agent edits code → trains 5 min → checks if it improved → keeps or discards → repeats overnight Loved the pattern, applied it to content built a skill called autorefine define what "good" looks like → it generates,

BREAKING: 🇪🇺 Europe’s largest asset manager, Amundi with $2.8 trillion AUM, has launched a $100 million tokenized fund on Ethereum.

everyone in web3 will be in Milan. May 21-22

consumer AI won’t be won by wrapping the smartest model - instead I'm convinced it'll have the following chracteristics: - AI native functionality reinvents the UX enough to move the needle - deliver enough new AI UX with "good enough" models - ARPU reliably outruns inference

BREAKING: Private transactions can now be sent on Ethereum for the first time. This unlocks use cases previously impossible: anything tied to your identity, anything to do with real world data, any serious institutional usage. No one has access to the data and everyone can

Jack Dorsey just published something that should be required reading for every founder. The premise: the org chart needs to be replaced entirely. And the argument starts 2,000 years ago. For thousands of years, every organization on earth has run on the same logic the Roman

the "AI wrapper" critique assumes the wrapper is the easy part But being the wrapper also includes figuring out: - getting distribution without paying infinite CAC - creating an amazing UX that's AI native, not derivative - building a brand, trust in a very noisy landscape -

The cypherpunk dream has nowhere to go, except maybe Ethereum Our CEO wishful_cynic on why Ethereum Foundation is ahead of the curve for the first time, and why Ethereum might be the only blockchain still publicly committing to its cypherpunk origins His opinions with

noticing a trend of startups replacing standard resumes/interviews with week-long (or at least 3-day weekend) in-office trials. Makes sense in a world of AI-generated resumes and interview responses Turns out the best signal for whether someone can do a job is watching them

Total Global Liquidity is rising Global M2 is rising US Total Liquidity is rising US M2 is rising China Total Liquidity is rising ISM is rising Try not to over think it.

One fact is that $ETH is heavily undervalued. If we value Ethereum as a public good then this should be $ETH it’s fundamental value 👇

Anthropic pays engineers $750,000 a year to understand how AI models actually work. Stanford just put the same knowledge on YouTube. 2 hours. Completely free. This is the lecture that teaches you what most AI courses skip entirely. Not how to use the tools. Why they work the

Tools for the 100x Solo Founder For decades, company size has been dictated by coordination costs. If you wanted to grow revenue, you hired people. More customers meant more support reps. More revenue meant more finance and ops. Scale meant headcount. AI is starting to break

🚨 Anthropic's own team just showed how to actually use Claude Code properly. 30 minutes. free. the person who created Claude Code. watch the workshop. bookmark it. worth more than every $500 course you almost bought. you've been using Claude without knowing 40 of its

Keak is now insane A CRO agent that increases your conversion rate: - Scans your website - Generates variations that improve your CVR - Implements them for you - Learns from the results Click on the image to book a demo 👇

Kosasi Nakamoto DAI is still an option, even though Sky Protocol (formerly MakerDAO) has rebranded to USDS. As a matter of fact, DAI currently has over 663k holders compared to 62k for USDS, and records a daily trading volume of $76m over USDS' $17m.

ANTHROPIC'S OFFICIAL TEAM just showed the correct way to use Claude Code. 30 minutes. free. the main speaker built Claude Code himself. not a tutorial from someone who read the docs. the actual engineer who wrote it. most people paying hundreds for AI courses still don't

🚨 A junior at Jane Street reportedly landed a $220K–$600K role because he used AI to analyze trillions of data points faster than most teams ever could. In this 1-hour lecture, he breaks down the exact system behind it: • how he researches massive datasets • how AI finds