Quick learner
This story has attracted a certain amount of attention but I’m surprised it hasn’t attracted more.
Google says its AlphaGo Zero artificial intelligence program has triumphed at chess against world-leading specialist software within hours of teaching itself the game from scratch.
The firm’s DeepMind division says that it played 100 games against Stockfish 8, and won or drew all of them.
The research has yet to be peer reviewed.
But experts already suggest the achievement will strengthen the firm’s position in a competitive sector.
“From a scientific point of view, it’s the latest in a series of dazzling results that DeepMind has produced,” the University of Oxford’s Prof Michael Wooldridge told the BBC.
“The general trajectory in DeepMind seems to be to solve a problem and then demonstrate it can really ramp up performance, and that’s very impressive.”
There will be unreported caveats and it is reasonable to assume that the two systems ran on different hardware, but on the face of it this achievement looks like a remarkable demonstration of the growing power of AI. Remarkable enough to be disturbing even.
Of course chess is a rule-based environment suited to computation but AlphaGo Zero seems to have taught itself how to play the game to an extremely high standard in a matter of hours.
Strewth was my initial reaction. It still seems appropriate. So much so that I almost hope those caveats douse the whole thing in cold water but I don’t think they will.
Source: http://akhaart.blogspot.com/2017/12/quick-learner.html
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