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Update
What changedOpenAI says structured safety documentation should be required before continuing any frontier reinforcement-learning training run. It describes full “safety cases” as an aspirational goal, while acknowledging that making them as rigorous as those used in aviation or nuclear power is difficult for AI models.
The guidance groups technical safeguards into three areas: alignment training, containment and monitoring.
OpenAI also proposes operational checks around each safety case: a separate-team dissent to challenge its reasoning, senior reviews with veto power, clear accountability for the run and access for auditors. It says these practices are still being implemented and are expected to evolve.
The company presents the guidance as focused on frontier reinforcement-learning training.
Sources and evidence- Towards safety cases for frontier AI training – OpenAI: OpenAI’s published early guidance proposes structured documentation and specific technical and operational checks for frontier reinforcement-learning training runs; the company describes full safety cases as an aspirational goal and says the practices are still being implemented.
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