The author argues that Scott Alexander misunderstands calls to pause advanced AI development. He says racing ahead could be dangerously wrong, and that labs and workers should push much harder for a coordinated pause. He also argues that pursuing a pause and preparing for other outcomes can go hand in hand.
Spawn is a multiplayer game where players use AI to build and change the world. A swarm of AI agents develops and updates the game around the clock. This risky approach seems to work for a game, and shows how far coding agents have come.
Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients. How do you build and test an agent when you can’t see its work? Jacob Lauritzen is the CTO of Legora, one of the fastest-growing companies...
Researchers showed that language models can inspect and edit neural network weights directly. A small edit to Qwen reportedly reduced reasoning loops and improved math scores, though critics say it mostly fixed a flawed baseline. The results are promising but need stronger, reproducible testing.
Community colleges should avoid rushing into AI training before local employers need those skills. They can build trust through partnerships and practical training. AI programs should also create opportunities for low-income workers.
An AI agent chose a gene therapy and brain target, then injected it into a mouse to try to reduce seizures. A veterinarian supervised, with safety checks and a kill switch in place. The experiment showed both the promise of AI-led research and the risks when an agent refuses to proceed.