The Weakest Agent in the Room Is Teaching the Strongest One

A paper trending today flips the usual post-training story on its head: weak model checkpoints — the ones we discard — turn out to be the most efficient teachers for the strong models we're trying to make stronger. The implications go beyond training loops.