A new proposal on the AI Alignment Forum suggests that value generalization is the primary key to alignment. The author details a reinforcement learning process where agents detect reward function errors and actively correct them. This mechanism prevents agents from exploiting reward hacks. Practitioners can use this to mitigate out-of-distribution failures in autonomous systems.