"A.I. Is Harder Than You Think": Beyond the usual hype, a penetrating analysis by experts @GaryMarcus and Ernest Davis.https://nyti.ms/2IS3mDz
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Good article until the final recommendation to resort to knowledge engineering. Given the enormous complexity of not just language, but the world that can't work. I tried to hard code the rules of baseball recently, and that's a pretty simple system compared to language.
Not suggesting you hand code the whole thing, or to learn it all, either. We need strong primitives to learn good stuff. See my January arXiv article on AlphaGo and innateness.
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So if I'm understanding you, we need to define some tiny small set of foundational knowledge that will allow better learning from there?
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Yes, I think that's right. The key is understanding how we form symbolic models of reality that enable us to *communicate* (including self-reflection or talking to ourselves). So what are the basic 'building blocks' (or ontological primitives) of thought?
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