Back when I was in high school, I remember our computer studies teacher telling us that a computer only does what it’s told to do, and so mistakes are not the machine’s, but rather the user’s. With neural networks and machine learning, that is no longer true. AlphaGo, DeepMind’s specialist Go-playing machine, has proved as much. AlphaGo has been programmed to learn from its mistakes, and can err all on its own.
The AI-powered system failed to recover from an error against Lee Sedol in their fourth game, and eventually lost. In the fifth game, however, it made a mistake and was able to win the series in seemingly dramatic fashion.
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