@GaryMarcus In your paper "DL: A Critical Appraisal" you mention a test you did for generalization during 1998. Its is still a good generalization test? Which is in your opinion the best generalization test for a AI?
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Why should they sell outside of Alphabet? The 'only made $100 million' line in your article was similarly baffling -- what's your point of comparison?
Just to clarify from my previous posts: I wasn't saying that DeepMind doesn't hype their work; they absolutely do. I was just questioning your criticism that they don't have a successful deep RL *commercial product*.
if they had a real product, why not? deepmind does have an applied/product division, and has had one maybe since inception. on the latter surely the notion of comparing revenue with costs didn’t originate me.
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Internal products are still products, $100M is noteworthy given the basic research focus. The notion of using revenue/costs to assess scientific merit is rather unique to you. What lab is doing better by this metric? Has it historically been a precursor to larger innovation?
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@Zergylord please reread; i absolutely did not judge the scientific value of DRL on $revenue. multiple paragraphs pointing out other limits, before economic analysis. - 1 more reply
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