@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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Yup, I'm a big fan of
@dileeplearning and@vicariousai
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*.
They don’t have a successful commercial product that they have sold outside Alphabet. That’s just a fact AFAIK. But I very much read you as saying they weren’t making especially grand claims, which I think they are.
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You read me wrong.
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It was your “fifth thought” https://twitter.com/melmitchell1/status/1161776035060301825?s=21 … that colored how I read your thought as a whole; that seemed vastly too charitable to me. I still think that thought is too charitable, but I now understand your thread in a different way.
Fifth thought: Marcus correctly warns of the dangers of "overpromising". But is this fair, with respect to Deep Mind? Have they actually overpromised with respect to their technology? (I did see a quote from Shane Legg a while ago personally predicting AGI by 2020s) 7/Show this thread - 2 more replies
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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?
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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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