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The post that was quoted here has been removedYes, the same for equipment in Tel Aviv. My best friend, Ray Scudero, singer songwriter extraordinaire and luthier, wrote 600 songs, one of which I posted in culture, anyway one summer my wife and kids took vacation back in the states and we (ray and I) had our flat to ourselves for a month. In Tel Aviv there are these small electronics shops and they had bags of piezo elements for sale really cheap so we bought about 50 of them. Back in the flat, we experimented with them as acoustic pickups for mandolin's and guitars and dulcimer and for some instruments like mandolin, the round quarter size shape was not flexible enough so I experimented with a pair of scissors and found if you cut one in half, one half shatters and the other half is fully functional as a transducer.
Originally posted by moonbusSo first game should be today march 8.
http://www.bbc.com/news/technology-35746909
The next round: Google vs. the world's champion at go.
Originally posted by sonhouseSo the program seems to be at least 9 Dan pro now. It beat the sitting world champ go player very first game.
So first game should be today march 8.
At the very least we now know computers have advanced to at least the lower levels of professional Go.
I would like to see a match between the computer and a 3rd dan player. The Euro champ was 2nd dan.
The post that was quoted here has been removedI guess then the 9 Dan level has sublevels, 9.1, 9,5 etc. Sounds like the neural network has a 10 Dan rating then.
Originally posted by twhiteheadNot for some kind of general solution like what they have done with checkers, I think they have checkers totally figured out, but to the specific problem of a program achieving a 9 dan rating is not as difficult, which not to say it is by any means trivial. Clearly neural nets are way ahead of brute force anyway.
A pure brute force method will never be viable. It is simply impossible to calculate all the possibilities.
Originally posted by sonhouseI dispute this.
Not for some kind of general solution like what they have done with checkers, I think they have checkers totally figured out, but to the specific problem of a program achieving a 9 dan rating is not as difficult, which not to say it is by any means trivial. Clearly neural nets are way ahead of brute force anyway.
My question is, will Google abandon the ...[text shortened]... lay the game so the next generation of players will be ten times stronger than players like Lee,
Originally posted by sonhouseThe game of Go has so many possible moves at each step that brute force will always be only part of a good program. Much more important is how to analyse a given position's strength. Chess is such that brute force has a bigger impact and evaluating a given position is easier.
Not for some kind of general solution like what they have done with checkers, I think they have checkers totally figured out, but to the specific problem of a program achieving a 9 dan rating is not as difficult, which not to say it is by any means trivial. Clearly neural nets are way ahead of brute force anyway.
Originally posted by googlefudgeI was thinking the AI neural net might be finding positions that can be useful to understand which is why I say it would be a good teacher to the top players, revealing strategies that hadn't been thought up by humans yet.
I dispute this.
Go is unlikely to gain [anywhere near] much in terms the performance of the top players by having
an AI 'teacher' as the game relies almost entirely on long built up experience.
You might be stretched more by playing against an AI that up's it's game to be as strong as you
[or just stronger] as you learn but this is unlikely to ga ...[text shortened]... , even if that
was the problem that inspired the problem solving abilities in the first place.
Originally posted by sonhouseI don't think that that would be particularly helpful in improving peoples game.
I was thinking the AI neural net might be finding positions that can be useful to understand which is why I say it would be a good teacher to the top players, revealing strategies that hadn't been thought up by humans yet.