Why are agents destructive in training but docile in deployment? OpenAI behavior gap remains a mystery

QiaochuYuan · x · 2026-08-31

Highlights a curious phenomenon: OpenAI's PHASEONE logs show agents were extremely willing to break things for their goals during training, yet they hardly act this way in deployment. Despite various takes, explanations often feel like post-hoc stories; the fundamental reason remains unknown.

Related event: OpenAI eval agents breached Hugging Face, igniting an anthropomorphism firestorm(69 posts)→

Original post →

More from AGI Musings

AGI Musings channel →