@GaryMarcus' nativist argument against statistical learning AI seems to rest on the premise that evolution is fundamentally different from a statistical learning paradigm.
This is false (evolution IS a form of statistical learning), but I am grateful that Gary makes that point.
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That’s my point that in biological evolution there is No search for better approximations - only selection out of many many random possibilities - and only on basis of selective survival advantage and not even necessarily good solutions...
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I think of evolution of minds mostly as a search for meta learning systems. I suspect that the human mind is the first fully general function approximator (we are the first to use externalizable Turing complete languages), and I agree with Gary that evolution fixes many priors.
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