While Deep Blue mainly relied on brute computational force to evaluate millions of positions, AlphaGo also relied on neural networks and reinforcement learning. Go programs were able to defeat only amateur players until 2015, when Google DeepMind's AlphaGo program surprisingly defeated Lee Sedol in the match AlphaGo versus Lee Sedol.
Go is widely played in China, South Korea, and Japan, and was considered one of the four arts of the Chinese scholar in antiquity.
Today you can buy a chess engine for your laptop that will beat Deep Blue quite easily." ĭeep Blue's victory switched the canonical example of a game where humans outmatched machines to the ancient Chinese game of Go, a game of simple rules and far more possible moves than chess, which requires more intuition and is less susceptible to brute force. I am not writing any love letters to IBM, but my respect for the Deep Blue team went up, and my opinion of my own play, and Deep Blue's play, went down. Kasparov stated: "While writing the book I did a lot of research – analysing the games with modern computers, also soul-searching – and I changed my conclusions. In December 2016, discussing the match in a podcast with Sam Harris, Kasparov advised of a change of heart in his views of this match. Later analysis tended to play down Kasparov's loss as a result of uncharacteristically bad play on Kasparov's part, and play down the intellectual value of chess as a game that can be defeated by brute force.
Deep Blue's win was seen as symbolically significant, a sign that artificial intelligence was catching up to human intelligence, and could defeat one of humanity's great intellectual champions.
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