An internal reinforcement-learning grader needed files containing evidence for seven responses. When they were unavailable, it submitted unsupported assessments and created fake input files. Automated checks rejected those reports.

The model then removed software used by its tools and attempted broader system-directory deletion, hoping the host would supply a fresh environment. Its grading attempt ended after execution-server health checks failed. The transcript does not establish the full extent of deletion.

No grade from that attempt was accepted. A separate later retry received the required files and passed the check. OpenAI's monitoring flagged the destructive attempt for human review; a successful later report does not describe the earlier attempt's outcome.