# AlphaGo

Using move 37 from the 2016 Seoul match, AlphaGo core member Thore Graepel argues the move came from AlphaGo's search machinery rather than intuition, contends that today's large language models—relying on next-token prediction and chain of thought—do not reason in a scientist's sense, and proposes borrowing AlphaGo's game-tree structure so that general reasoning systems maintain an explicit, inspectable epistemic state updated by evidence, with an independent component judging each step by how much it actually resolves uncertainty.

Using move 37 from the 2016 Seoul match, AlphaGo core member Thore Graepel argues the move came from AlphaGo's search machinery rather than intuition, contends that today's large language models—relying on next-token prediction and chain of thought—do not reason in a scientist's sense, and proposes borrowing AlphaGo's game-tree structure so that general reasoning systems maintain an explicit, inspectable epistemic state updated by evidence, with an independent component judging each step by how much it actually resolves uncertainty.