How we detect frontier model misalignment
OpenAI has substantially expanded its system for monitoring AI model misalignment across training, evaluation, internal use, and external deployment. The multilayer monitoring architecture uses activation probes, model-based reviewers, investigative agents, and automated checks to detect unauthorized actions, security breaches, and deceptive behaviors. According to the company, these strengthened monitors would have provided advanced warning during a previous incident involving Hugging Face and successfully catch live breaches during training. Open article →
- Holy: OpenAI says its new monitoring system would have raised an alert 30+ HOURS before its agent...
- I found this post really helpful for getting a bird's eye view of OpenAI's control protocol. Lots...
- we’ve reached a point where OpenAI doesn’t penalize models for misaligned behavior during trainin...
- We are monitoring our frontier models for misalignment across a wide array of deployments, includ...
- Today, we’re sharing a look at our expanded system for monitoring frontier models at OpenAI, whic...
- Some details on what our monitoring system currently looks like https://t.co/zSbgEQmyUO