This not only shows the insane advances in computer AI, but an incredible advancement between the Fan Hui games and this one. Im still going through the kifu to get a sense of how could it have improved so much in only 6 months.
AlphaGo beats the world champion Lee Sedol in first of five matches
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Re: AlphaGo beats the world champion Lee Sedol in first of five matches
#12The thing that was supposed to take at least 10 years happened. Only last month people were still saying that no way AlphaGo will beat the champion and that it will be crushed. Today everybody will have seen it coming and say that it was normal.
Yet people will still tell that worrying about AI taking over is like worrying about overpopulation on Mars, and that this is a problem at least 50 years out.
Re: AlphaGo beats the world champion Lee Sedol in first of five matches
#13A historic moment here, folks. Incredible, and in my opinion a little terrifying.
What's more terrifying is that AlphaGo can learn even further, from these and other matches. Just hard to imagine what lies ahead.
Re: AlphaGo beats the world champion Lee Sedol in first of five matches
#14What an incredible moment - I'm so happy to have experienced this live. As noted in the Nature paper, the most incredible thing about this is that the AI was not built specifically to play Go as Deep Blue was. Vast quantities of labelled Go data were provided, but the architecture was very general and could be applied to other tasks. I absolutely cannot wait to see advancements in practical, applied AI that come from this research.
Re: AlphaGo beats the world champion Lee Sedol in first of five matches
#15"AlphaGos Elo when it beat Fan Hui was 3140 using 1202 CPUs and 176 GPUs. Lee Sedol has an equivalent Elo to 3515 on the same scale (Elos on different scales aren't directly comparable). For each doubling of computer resources AlphaGo gains about 60 points of Elo."
Re: AlphaGo beats the world champion Lee Sedol in first of five matches
#16This is my generation's Gary Kasparov vs. Deep Blue. In many ways, it is more significant. Several top commentators were saying how AlphaGo has improved noticeably since October. AlphaGo's victory tonight marks the moment that go is no longer a human dominated contest. It was a very exciting game, incredible level of play. I really enjoyed watching it live with the expert commentary. I recommend the AGA youtube chann…
I know absolutely nothing about Go, and I enjoyed the deepmind channel and found the commenting very good.
I was actually thinking about playing a game with another total noob, just for fun, since the rules can be explained in 1 minute (unlike chess).
Re: AlphaGo beats the world champion Lee Sedol in first of five matches
#17Does this mean in the next few decades, computers will make better sex partners and companions than any human?
Re: AlphaGo beats the world champion Lee Sedol in first of five matches
#18This not only shows the insane advances in computer AI, but an incredible advancement between the Fan Hui games and this one. Im still going through the kifu to get a sense of how could it have improved so much in only 6 months.
I feel like it started being more aggressive, playing more fighting moves....whereas in the last match it was playing mostly a defensive game (I'm not an expert by any stretch of the imagination, though).
Re: AlphaGo beats the world champion Lee Sedol in first of five matches
#19Earlier quoted context omitted.
Not that terrifying? It's a very special purpose-built tool. We'll still always have Calvinball! https://xkcd.com/1002/
The way AlphaGo plays is more general purpose than other game playing systems. It doesn't have any heuristics, rules, or game rule books programmed into it, it learned to play Go like you would. The same technique could be applied to other areas, the same way DeepMind originally got super-human level Atari 2600 game performance purely by having it watch pixels.
Unless I'm wrong, the AlphaGo paper doesn't mention transfer learning at all. Yes, the methods are new and exciting, but I mean there are hand-crafted features in the MCTS.