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!"
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!
Mikhail Botvinnik worked for years with a team on one of the first non-brute-force programs, PIONEER. While the program itself was not ultimately at the forefront of chess programs, spinoffs of the developed algorithms were employed for energy network planning in the USSR at increasingly larger scale and successfully so.
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.