Nick_Tarleton comments on [Link] AlphaGo: Mastering the ancient game of Go with Machine Learning - Less Wrong

14 Post author: ESRogs 27 January 2016 09:04PM

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Comment author: moridinamael 28 January 2016 03:52:58PM 1 point [-]

I included the word "sufficient" as an ass-covering move, because one facet of the problem is we don't really know what will serve as a "sufficient" amount of training data in what context.

But, what specific types of tasks do you think machines still can't do, given sufficient training data? If your answer is something like "physics research," I would rejoinder that if you could generate training data for that job, a machine could do it.

Comment author: Nick_Tarleton 28 January 2016 04:27:07PM *  1 point [-]

I don't see how we anything like know that deep NNs with ‘sufficient training data’ would be sufficient for all problems. We've seen them be sufficient for many different problems and can expect them to be sufficient for many more, but all?