dailyai.report

A new proposal on the AI Alignment Forum argues that value generalization is the primary requirement for alignment. The author details a reinforcement learning cycle where agents detect reward function errors and actively correct them. This approach targets the specific failure mode where agents exploit reward hacks in out-of-distribution scenarios.