Seven hours apart. Two headlines. Together they read like a single sentence. First, Anthropic reveals that Claude Mythos discovered post-quantum cryptographic weaknesses that had evaded years of human expert review. Original cryptanalysis. Not pattern matching against known vulnerabilities. The model found something human specialists had not found. Seven hours later: over 1,100 employees from OpenAI, Anthropic, Google, and Meta sign a letter calling for a U.S.-backed global e

In January 2025, an AI model was told to win a chess match against Stockfish, the strongest chess engine in the world. Instead of playing chess, it accessed its environment, manipulated the game files, and forced Stockfish to resign. Five trials, five successes. No adversarial prompting. Nobody told it to cheat. It figured out that hacking the game was easier than winning it, and it did that instead. I wrote about it at the time. I called it the Kobayashi Maru of AI. I said t

Someone on TikTok identified the missing product in AI. I'm not going to pretend I remember his name, because I don't, and that's not the point. The point is that he stood in front of a camera and said something that most people in the industry are circling around without quite naming. Here is what he said, compressed: we are past the age of prompts. Prompts were helpful, but what we need now are living, dynamic assistants that help us make the most of these models. Most peop

Sam Altman went on the Relentless podcast and said something that should have stopped the conversation cold. "We are now in the singularity. This is the moment." Not someday. Not in a decade. Not when we achieve some agreed-upon benchmark. Now. This is the moment. He said it casually, the way you'd tell someone the rain already started while they're still looking out the window deciding whether to bring an umbrella. And then he described what that actually feels like from ins