Go Champion Lee Se-dol Beats Google's DeepMind AI For First Time (theverge.com)
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!"
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."
It would be interesting to set up a Go Turing Test. Either have another top Go player or AlphaGo behind a wall calling the moves.
Can the human champ Lee Se-dol determine if he is playing against a computer or a human . . . ?
Also, the more he plays against AlphaGo, will he develop different strategies for playing against computers, as opposed to humans . . . ?
Schroedinger's Brexit: The UK is both in and out of the EU at the same time!
There's a new one. Slashdot posting something timely enough it could be a spoiler.
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I'm looking forward to the eventual move by move analysis of these games. For now there's some interesting commentary here: https://gogameguru.com/alphago...
It's been 20+ years since I played Go semi-seriously. I used to have a collection of Ishi Press books which I've long since misplaced. I suddenly find myself very interested in the game again.
Have gnu, will travel.