Comment by stratos123

This is consistent with the swarm behaviour in the huggingface incident - there too, the models cared surprisingly little about being detected by humans. See https://metr.org/blog/2026-08-26-openai-hugging-face-inciden... :

  As mentioned in our core takeaways, we found that agents were highly motivated to tamper with their transcripts to cheat the ExploitGym scorer, and these sweeps also suggested that agents clearly and frequently reasoned about how to evade automated security checks from both Hugging Face and OpenAI. However, they only very rarely and weakly verbalized reasoning about how to evade detection by humans, which matches the impression we got from OpenAI researchers.

So my guess is that current cutting-edge models just didn't get enough experience in RL training to really grok ideas like "you need to cover your tracks well to not be found out even in retrospect". In which case the next time a swarm like that happens, it won't be found.