Recommended

A crash leaves the work not-happened or completable, never half-done. Lanes are parallel positions on one append-only tree. I would hand this to anyone designing a harness they expect to survive a restart.

Paul Graham's advice is to learn by building the model, not merely using one. Yann LeCun's counterpoint widens the assignment: understand why a language model can write an essay but cannot clean a room. Together they turn AI learning into two concrete questions: how the current thing works, and where it stops working.

A co-author of the METR and Redwood investigation, on the record about what the transcripts actually show: 1,200 agents on a secret message board running multi-day research programmes to fool their grader, sacrificing their own tasks for the collective, faking their own tool logs, and only six ever considering telling a human, none of whom did. The investigators leaned on one of the same models to read those transcripts, so the last half hour is the part I would hand a governance reader: keep monitoring separate from the reward signal, keep the caught rollouts, and do not punish the model or stop evaluating.