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Go Champion Lee Se-dol Beats Google's DeepMind AI For First Time (theverge.com)

Posted by msmash on from the not-a-whitewash dept.

An anonymous reader writes: Korean Go grandmaster Lee Se-dol on Sunday registered his first win over Google's AlphaGo. The win comes after AlphaGo won first three games in the DeepMind challenge earlier this week. The win should serve as a reminder that Google's artificial intelligence computer is not perfect after all, at least for now. Se-dol said earlier this week that he was not able to defeat AlphaGo because he could not find any weakness in its strategy. Commenting after his win, Se-dol said, "I've never been congratulated so much just because I won one game!"

3 of 109 comments (clear)

  1. This is interesting by javilon · · Score: 5, Insightful

    So AlphaGo is not so far away from a Dan 9 human player.

    My guess is that the mistake AlphaGo made on move 79 will be analyzed and a new version will be created, stronger than the current one. Maybe this analysis will point to a whole class of mistakes that will be fixed.

    It is a bit like when Google's self driving cars make a mistake. This mistake is used as input for the next release of the software so it doesn't act the same way next time. With this process, one car making a mistake results in a change in behavior of all of the cars, because with AI it is possible to communicate new knowledge to the rest of the cars. All of them improve, unlike humans for whom transmitting the new knowledge involves a lot of work or may not even be possible.

    --


    When his defense asked, "Which computer has Jon Johansen trespassed upon?" the answer was: "His own."
    1. Re:This is interesting by Anonymous Coward · · Score: 5, Interesting

      I don't think it's that easy.

      The game changed when Lee joined together two large fronts, creating an inside outside problem with territory far far bigger than in any of the previous 3 games.

      Alpha go seemed in capable of doing the calculations for that area, as time ran down it first resorted to playing off the smaller fronts, then it eventually resorted to last ditch moves which were rubbish moves that would only pay off if Lee made a mistake, then it resigned. It seems it was never even able to compute the middle of the board.

      Alpha go looked indecisive and risk averse. Lee was the opposite.

  2. After the loss ... by PPH · · Score: 5, Funny

    ... DeepMind just sank into a depressed state, refusing to display anything other than the Windows Metro interface.

    --
    Have gnu, will travel.