South Korea · Blue Origin · MIT Technology Review
AlphaGo won the game, ultimately triumphing 4-1 over Lee Sedol, one of the greatest professional Go players of all time
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“I thought AlphaGo was based on probability calculation and that it was merely a machine,” Lee said afterwards.
Key facts
- AlphaGo won the game, ultimately triumphing 4-1 over Lee Sedol, one of the greatest professional Go players of all time
- When Deep Blue defeated then reigning world chess champion Garry Kasparov in 1997, it did so by looking six to eight moves ahead per player and evaluating 200 million chess positions per second
- A well-known theory in the behavioral sciences, popularized by Daniel Kahneman, distinguishes between two modes of human thought: System 1 is fast, gut-level, effortless; system 2, slow
- This “intuitive” part regarded move 37 as nothing special—a play that had a roughly one in 10,000 chance of being made by an expert human player
Summary
On an afternoon in Seoul in March 2016, the reporter watched a program the reporter helped build put a stone on the fifth line of a Go board in what looked like a gift to its human opponent. AlphaGo won the game, ultimately triumphing 4-1 over Lee Sedol, one of the greatest professional Go players of all time. When Deep Blue defeated then reigning world chess champion Garry Kasparov in 1997, it did so by looking six to eight moves ahead per player and evaluating 200 million chess positions per second, using rules hard-coded by humans. A stone’s worth depends on how distant groups and territory unfold over dozens of moves. That is why many accounts of AlphaGo’s match against Lee portray move 37 as a flash of pure machine intuition. AlphaGo is made up of two systems.