OpenAI proposes safety cases before frontier training

OpenAI proposed three safety-case pillars—alignment training, containment, and monitoring—before its most advanced reinforcement-learning runs continue, according to coverage of the company’s framework. The guidance also calls for independent dissent reviews, executive veto power, immutable transcripts, and fail-closed pause paths as the company withholds GPT-6.1 Astra after safety testing. Builders running tool-using training or evaluation loops should treat this as an infrastructure gate, not a policy memo: no run without a monitor, sandbox, and named owner who can stop it, extending the archive’s case for treating agent procedure as executable policy.