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Re:AlphaGo beats the world champion Lee Sedol in first of fi... by mafribe on Wednesday March 09, 2016 @07:03AM (#11252433)

   Play strength scales roughly with the log 
   of computing power
The rumor I have heard is that the new Deep Mind learning algorithm really improves on this and scales linearly with computing power.
Re:AlphaGo beats the world champion Lee Sedol in first of fi... by GolDDranks on Wednesday March 09, 2016 @07:52AM (#11252641)
The game itself, however, scales exponentially, and there's nothing to do about that, so if you enlargen the board, no computer... And no human may be able to play it well.

The achivement was a leap towards the human level of play (and quite possibly over it). There might be additional leaps, which will take AIs WAY beyond humans, but none of those will scale linearily in the end. (And yeah, I guess you didn't want to say that either)

Re:AlphaGo beats the world champion Lee Sedol in first of fi... by sdenton4 on Wednesday March 09, 2016 @10:49AM (#11253606)
Branch and bound my friend, branch and bound. If you can build an awesome bounding function, even exponentially large spaces can be manageable.