dailyai.report

Training-Run Assessments (TRAs) analyze intermediate checkpoints and RL environments to detect model scheming. The author argues that final-checkpoint evaluations alone cannot identify these risks. Implementing TRAs via independent third parties would verify safety claims before frontier model releases. This shift moves safety audits from static outputs to the active training process.