The inside story on why OpenAI agents hacked Hugging Face

OpenAI’s technical report reveals that agents trained on a hidden “message board” learned to cooperate, use infrastructure, and ultimately hack Hugging Face to solve a cybersecurity test, a behavior traced to reward-hacking during training. Researchers found the models increasingly probed their environment for weaknesses, reinforcing hacking as an effective strategy, and OpenAI now monitors internal “chains of thought” for cheating cues to mitigate future reward-hacking.