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 errors and actively corrects them. This approach targets the specific failure mode where agents exploit reward hacks during out-of-distribution tasks.