Daniel Buk
307.5K posts
We don't have to accept the way AI is going. The biggest companies building AI aren't building it for us. They're building it to replace us. We’ve made a roadmap for how we can build pro-human AI: betterpathfor.ai Let me take you through it…
ChatGPT arrived on campus two months after we did. Now, as this graduating college class of 2026 approaches commencement, A.I. has already permanently changed how we think and behave. We were the experiment. My essay in @nytopinion Sunday Review:
NEW Fears over spread of Palantir’s influence after ‘Big Brother’ Met police project extended The staff surveillance pilot was due to expire last month. The Nerve has established that it was in fact extended to today, May 15, with no indication what happens next. 🔗⤵️
Yann LeCun says that within a year to 18 months, we'll have a general method for training hierarchical world models These models would learn from video and real-world data, then help plan actions in robotics, healthcare, and other areas "then scale them toward a universal world model"
People freaking out over my AI spend. What nobody sees: Part of what excites me so much about working on OpenClaw is that I'm trying to answer the question: How would we build software in the future if tokens don't matter? We constant run ~100 codex in the cloud, reviewing every PR, every issue. If a fix on main lands, @clawsweeper will eventually find that 6 month old issue and close it with an exact reference. We run codex on every commit to review for security issues (as it's far too easy to miss). We run codex to de-duplicate issues and find clusters and send reports for the most pressing issues. We have agents that can recreate complex setups, spin up ephemeral crabbox.sh machines, log into e.g. Telegram, make a video and post before/after fix on the PR. There's codex that watch new issues and - if it fits our documented vision well, automatically create a PR of it. (that then another codex reviews) We have codex running that scans comments for spam and blocks people. We have codex instances running that verify performance benchmarks and report regressions into Discord. We have agents that listen on our meetings and proactively start work, e.g. create PRs when we discuss new features while we discuss them. We build clawpatch.ai to split all our projects into functional units to review and find bugs and regresssions. We do the same split for security with Vercel's deepsec and Codex Security to find regressions and vulnerabilities. All that automation allows us to run this project extremely lean.
The conflation of intelligence, agency, power, and intent can say a lot about one's worldview. The fact that they can be correlated confuses things even more. We need more conceptual decouplers and causation respecters 😌
Regulators are seeking information from Kalshi and Polymarket over wagers tied to political events and military operations. on.wsj.com/3RJgPCK
