Easy take: calling linear algebra “quantum physics” and “artificial intelligence” is hype. Deeper: the huge influx of physicists into AI has produced an intellectual monoculture that isn’t capable of addressing key problems in the field.https://twitter.com/WIRED/status/1181437300414275584 …
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This seems very different from the original assertion, now more like "Are ideas adapted from physics sufficient to solve the main problems of AI?" Seems the answer is "obviously not", though of course exploring ideas from many different domains seems likely a good thing.
Hopfield networks, Boltzmann machines, renormalization group explanations of machine learning models - I'm glad all these things are being explored, although I have low confidence any will turn out to be on the critical path to AI.
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Is the point here that these are diverse intellectual traditions, although all based in physical analogies? (I suspect I'm not seeing where you are pointing)
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No, I just mean it's good to have lots of ideas from lots of different fields (including physics, though certainly not only!) And, to your point, of course lots of first principles study, too, independent of any prior tradition.
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To your original point about monoculture: in each case, some determined exploration seems good. Taking over the field is bad. Funny: systemic positive feedback effects mean that directions seem to be either greatly underexplored or overexplored.
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Ah, yes, we agree strongly about this!
End of conversation
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