I think that a desktop computer's calculating power appear to develop to a necessary level sooner then the algorithm may be optimized to use the power nowdays available. For example, I belive that chess programs run on a desktop well not because of a new better algotrithm but because the Deep Blue's 11.38 GFLOP power is available on desktop from about 2006, in ten years only. So I think the speculation that Deep Mind will change the objective to a more advanced task is right :)
Dmitry 11.03.2016, 14:28, "Darren Cook" <dar...@dcook.org>: >>> global, more long-term planning. A rumour so far suggests to have used the >>> time for more learning, but I'd be surprised if this should have sufficed. >> >> My personal hypothesis so far is that it might - the REINFORCE might >> scale amazingly well and just continuous application of it... > > Agreed. What they have built is a training data generator, that can > churn out 9-dan level moves, 24 hours a day. Over the years I've had to > throw away so many promising ideas because they came down to needing a > 9-dan pro to, say, do the tedious job of ranking all legal moves in each > test position. > > What I'm hoping Deep Mind will do next is study how to maintain the same > level but using less hardware, until they can shrink it down to run on, > say, a high-end desktop computer. The knowledge gained obviously has a > clear financial benefit just in running costs, and computer-go is a nice > objective domain to measure progress. (But the cynic in me suspects > they'll just move to the next bright and shiny AI problem.) > > Darren > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
