A new proposal on the AI Alignment Forum argues that value generalization is the primary key to alignment. The author details a reinforcement learning example where an agent detects its own reward function is incorrect. By identifying these exploits, the agent actively corrects its goals. This provides a technical path for agents to resist reward hacking.