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!"
Given that it's an self-learning AI, this match will of course be added to the training set, and the neural network will adapt to it. I'd be surprised if there would be a new _version_ of AlphaGo to fix this. There'll rather be an improved neural network - but that's a continuous process as AlphaGo keeps playing against itself and learning from it.
Actually I believe that this was part of AlphaGo's training . . . playing against itself.
Schroedinger's Brexit: The UK is both in and out of the EU at the same time!
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.