The other possibility is that its machine is superfast that it calculate enough search to be that strong within 10 seconds. For example, even the single machine version of AlphaGo is 48CPU and 8GPU, about 8 times of the consumer grade hardware.



From AlphaGo nature paper, in 2 seconds per move game, the gap between distributed version (1202CPU/176GPU) and single machine version is about one stone, the gap between single machine version and 48CPU/1GPU version is more than three stones. Consumer grade hardware have to wait for a bit, it'll definitely happen but not that soon.

As of now, we've solid evidence since 2010 that human use extra time much more efficiency than bot. So while it's true that giving bot more time will increase its strength, human time must stay the same, and (s)he must not think while in bot's turn to play.

In chess, the span between "first win of a bot against top human" and "last win of a human against top bot" was about 10 years. In Go it is less then 1 year, which I find extremely impressive (we still have to wait for longer time controls. Humans might simply more time to cope with the creative moves of the Master But I doubt whether it makes a difference, the comments being so far along the lines of "Master too strong" and not "I should have won this".)

Is there a good reason, why the time span between first win against top human and no loss against human is so short, or was chess a special case?

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If something sank it might be a treasure. And 2kyu advice is not necessarily Dan repertoire..

Neither chess nor go are special case. A game that has luck in its element, like Scrabble, card game variation (poker?) bot can still lose to top human if it's really, really unlucky.
And English draughts/American checkers went from "first win of a bot against top human" to "solved" in 12 years, that escalated very quickly!!!

Back on topic, do you know which rule Master is playing, Japanese or Chinese?

Master (aka confirmed as AlphaGo) is playing with Gu Li right now, and it look like to be the last game for a while so no one will get prize even if Gu Li win.

Is this DeepMind's new year present? Well, my favorite part of this whole event is when Ke Jie said that 'how can a gap be this large?!!!'

I don't like this hysterical behavior of Ke Jie. Let's keep some respect to pro players and be more skeptical to bot's strength. Ok it is too strong to beat it in fast game but let pro play a long one.

Or maybe they use 1000 GPUs. Plus 100 CPUs.

Back in the AlphaGo Nature paper they described their system and it used 2 neural nets + MCTS. There were a bunch of graphs of it's strength with all combinations of those 3 systems. All 3 together was much stronger than other combinations. And those measurements were made giving the computer 5 seconds per move.

Posted in the other thread, but will do so here as well. Ke Jie's latest tweet: http://weibo.com/u/2865101843?is_all=1

"Thanks for the shock and awe the latest version of AlphaGo provided us. As someone who knew its identity from the beginning, I'd have loved to see us human winning a blitz game. If not for being in the hospital, I'd have tried one last response that I prepared for a week...slight regret, and hope Gu Li can play to the best of our human ability in this final game of AlphaGo beta test."

Oh, and my other favorite part is when western and eastern social network working together to find who master is. Well planned, deepmind.

I saw the twitter confirmation. Was there any comment on whether they've changed the training methods, given that the new style is so unique?

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Occupy Babel!

This is all I can find at this very moment
http://www.nature.com/news/google-revea ... NatureNews

We are so privileged to watch these games. In the long history of the game this is such an important moment.