Semi-skeptical discussion of the Google Go-playing paper: https://medium.com/backchannel/has-deepmind-really-passed-go-adc85e256bec#.lar62he8k … (HT @concutere & others)
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Only question is whether the AlphaGo “neural” network did any non-obvious generalization. I don’t have access to the journal article, but >
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> nothing I have read suggests it did. Generally, when analyzing “neural” learning results, I’ve found they didn’t do anything interesting.
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@Meaningness well it's not just brute force, right, because there are too many possible boardstates?Thanks. Twitter will use this to make your timeline better. UndoUndo
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