Lambert doubts frontier AI pacing is practical, favors preparedness instead

Nathan Lambert argues that pacing frontier AI is a good idea in principle but unworkable in practice, asking who would decide which capabilities or benchmarks to slow down.

He warns that halting capability work could shift research toward swarms and efficiency, which bring their own risks. He contends most AI risk comes from diffusing existing models, so investment should go to preparedness and pressing labs to be more careful.