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The blog post leads with:

> This post aims to provide a unifying approach to symbolic and non-symbolic techniques of artificial intelligence.

This is the sort of thing people build academic careers on.

I'm extremely skeptical that a blog post will live up to this claim; I'd expect anything that even approaches to unify the techniques to be on the order of a Ph.D thesis or an extensive postgraduate research report.

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It's a very small unification, and a big, eye-catching claim.

Besides, I said "aims", not "succeeds"! :)

I certainly don't think this is The Big Solution, tho. It's far more mundane. Unifying the techniques is nice, but all that means is that we don't have to think about GOFAI and ML as fundamentally distinct. It doesn't mean that any truly deep problems have been solved, just that there's now a reasonably reliable way to use both that isn't just "simultaneous" but rather "fused".

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