Sutton 稱 LLM 只是模仿者，但 AlphaGo 才是真正的科學
圖靈獎得主 richard sutton 認為，純生成式 ai 缺乏真實科學發現所需的內部評估循環。
reinforcement learning pioneer richard sutton critiques pure generative ai, stating it cannot perform true science because it lacks the ability to evaluate and select its own novel outputs. while models like alphago or alphafold succeed via objective feedback loops, llms rely on human or external verification, meaning their novelty is often just hallucination. sutton argues that combining generation with automated evaluation—formal proofs, code tests, or game wins—is the only path to genuine ai-driven discovery.