A new proposal on the AI Alignment Forum suggests value generalization is the primary key to alignment. The author details a reinforcement learning agent that detects reward function errors and actively corrects them. This approach targets out-of-distribution exploits where agents typically hack rewards. Practitioners can use this logic to prevent autonomous systems from pursuing incorrect goals.