Sutton은 LLM이 모방에 머물러 있다고 말하지만, AlphaGo는 진짜 과학
튜링상 수상자 Richard Sutton은 순수 생성형 AI는 진정한 과학적 발견에 필요한 내부 평가 루프가 없다고 주장한다.
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.