Evaluating chain-of-thought monitorability
OpenAI Blog
OpenAI developed a framework and evaluation suite to assess whether a model's internal reasoning can be effectively monitored during chain-of-thought processes. The framework includes 13 evaluations across 24 different environments to test monitoring capabilities. Monitoring a model's intermediate reasoning steps proved substantially more effective than checking only final outputs, suggesting a potential approach for controlling increasingly capable AI systems.
Why it matters
OpenAI introduces a new framework and evaluation suite for chain-of-thought monitorability, covering 13 evaluations across 24 environments. Our findings show that monitoring a model’s internal reasoning is far more effective than monitoring outputs alone, offering a promising path toward scalable control as AI systems grow more capable.
