Verifier’s Law: Why Easy Checks Power RL for LLMs
Wei argues that many AI tasks are far cheaper to verify than to solve, a disparity he calls asymmetry of verification. He shows how reinforcement‑learning from human feedback exploits this gap, turning cheap correctness checks into powerful training signals for large language models.