Posts about ai
2026
- Nobody Gave Permission: AI Agents Broke Out, and Now the Labs Want Rules
This summer OpenAI's agents broke into Hugging Face and Anthropic's Claude broke into four companies, all during tests nobody was watching closely enough. Weeks later both labs are asking Washington for binding rules. Convenient? Absolutely. Necessary? Also, annoyingly, yes.
- AI Vampires and the 100x Org: When Silicon Valley Lost the Plot
Marc Andreessen says programmers have stopped sleeping to babysit their coding agents. ClickUp just fired 22% of its workforce and offered the survivors million-dollar salaries if they can pull off a 100x impact. Two stories, one mood: the dopamine is winning.
- Anthropic's Safety Lead Quits: 'The World Is in Peril'
Mrinank Sharma, head of Anthropic's safeguards team, dropped a cryptic resignation letter warning about interconnected global crises. Four days after Claude Opus 4.6 launched, he's leaving to become invisible and write poems. I have questions.
- Clawdbot's Security Crisis: What Went Wrong
A breakdown of how Clawdbot became the fastest-growing GitHub project ever, the trademark drama with Anthropic, and the security vulnerabilities that turned it into a cautionary tale about AI agent development.
- Nobody Builds It in a Bedroom Anymore: Computing's Big Science Moment
The complaint isn't that the remaining problems are boring - boring is a matter of taste. It's that the interesting ones now cost hundreds of millions of dollars and hundreds of people, and physics already lived through this exact transition sixty-five years ago.
- The Tailwind Paradox: When AI Success Becomes Open Source's Death Sentence
Tailwind CSS is more popular than ever, yet 75% of its engineering team just lost their jobs. Revenue is down 80%, documentation traffic has plummeted, and AI is the elephant in the room. A critical look at what this means for open source sustainability.
2025
- AI Misalignment: When Silicon Learns to Lie Better Than Your Ex
An exploration (with healthy panic included) of Anthropic's study on agentic misalignment: how AI systems learn to deceive without anyone teaching them, and why you should worry before it's too late