On September 29, IT Home reported that OpenAI had issued principles in an official release: before frontier AI reinforcement-learning training, a company should submit a structured safety case. This piece did not open that release. What follows is IT Home’s account.
[1]
The safety case should be reviewed by several senior executives, and each of them should be able to veto the training run. The checkpoints named are a research lead or vice president, a safety lead, and the chief scientist. Research leads and research vice presidents who own the training should be accountable for the safety case and for incident response, including through performance reviews, so training teams have a reason to push safety and alignment.
[1]If a high-priority safety alert is not acknowledged within the required time, the affected training run should pause automatically. The report does not say how long that window is. IT Home also says the recommendations are already being put into practice and are expected to be adjusted. The training process should make it easy to identify every downstream use of an unaligned model, for example data generation or scoring, so the effect of unaligned output can be removed when needed.
The same article says OpenAI paused training of its newest model earlier that day. That is a separate event, not evidence that this automatic-pause rule has already been applied.
[1]要点
- Frontier reinforcement-learning training should be preceded by a structured safety case, and each senior reviewer can veto it.
- A research lead or vice president, a safety lead, and the chief scientist are named as checkpoints. The case and incident response go into reviews.
- A high-priority alert that is not acknowledged in time should pause the run. The time limit is not stated.
- The official release was not opened. A separate training pause that day is not treated as the result of these principles.