A new proposal on the AI Alignment Forum suggests that value generalization is the primary requirement for alignment. The author outlines a four-stage process where an agent detects reward function exploits and actively corrects them. This theoretical approach targets the gap between in-distribution training and out-of-distribution behavior for RL agents.