OpenAI proposes safety cases before frontier training continues
OpenAI says frontier reinforcement learning runs should not continue without structured, evidence-based safety documentation, giving teams a way to show risks are controlled before training advances. Its proposed safety cases combine alignment training, containment, and monitoring: teams inspect training environments and graders for reward hacks, test for misalignment, and monitor model behavior before harm occurs. The framework is an early set of guidelines, not a finished standard.