#AlphaGo won game 3 and the match! Historic moment. In complete awe of Lee Sedol’s incredible genius, and proud of the amazing AlphaGo team!
— Demis Hassabis (@demishassabis) March 12, 2016
That takes AlphaGo up 3-0 versus Sedol, who initially expressed surprise at losing the first game, but was left “speechless” following the second. This victory is the second landmark win for AlphaGo, following its first 5-0 win against another human player in the latter months of 2015.
Unlike a game of chess, machines can’t be taught to play Go by algorithms alone. AlphaGo needed to learn 30 million or so moves, as well as learning to create its own strategies, like a human player would. Like a person playing the game, AlphaGo developed its own strategies by playing internal games countless times and developed its own methods. What’s interesting about watching AlphaGo play is that it doesn’t think like a human, and so doesn’t play like a classically-taught Go player would.