dailyai.report

A new exploratory project uses a black box LLM autorater to extract 10-20 qualitative features from model transcripts. The system splits data into user turns, thoughts, and responses to identify novel behaviors. This method helps AI alignment researchers find surprising correlations. It streamlines how teams analyze target model distributions during RL training and evaluations.