我们应该有独立的组织来访问这些训练的全部细节以进行监控，而不是在各种事故发生后才进行监控。 OpenAI 分享这一点很好，但安全的最佳方法是更多的信任和更多的关注需要解决的难题。
我们应该有独立的组织来访问这些训练的全部细节以进行监控，而不是在各种事故发生后才进行监控。 OpenAI 分享这一点很好，但安全的最佳方法是更多的信任和更多的关注需要解决的难题。
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We should have independent organizations that can access the full details of these training runs for monitoring, not just after various accidents occur. It's good that OpenAI is sharing this, but the best way for safety is more trust and more eyes on the hard problems to solve.
We should have independent organizations that can access the full details of these training runs for monitoring, not just after various accidents occur. It's good that OpenAI is sharing this, but the best way for safety is more trust and more eyes on the hard problems to solve.
We should have independent organizations that can access the full details of these training runs for monitoring, not just after various accidents occur. It's good that OpenAI is sharing this, but the best way for safety is more trust and more eyes on the hard problems to solve.
We have paused some frontier RL training to ensure that we can meet the appropriate alignment, security and monitoring standards for the new level of capabilities in front of us. Model progress is now extremely rapid, and we always said we would take action if we felt that model capabilities were outstripping the pace of safety and alignment. We care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime. We expect confidence in safety to increasingly set the pace of AI progress. We are optimistic about the alignment work we are doing, and we remain committed to making frontier capabilities widely available. https://openai.com/index/pacing-model-development-cyber-capabilities/
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