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And from the other side, how many decades was AI approached from an ineffective direction because it was assumed that Lisp was good at it?

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Has there been any measurable progress in actual AI since, well, ever?

Your thesis here is that Lisp itself was a limiting factor in AI research? What alternate language/direction would have resulted in substantially more progress?

I'm not Miky, but I interpreted his statement to be that doing AI is a whole heck of a lot more complicated than just using an introspective, code-as-data, data-as-code language.

LISP is a hammer in an AI researcher's toolbox. Human-level AI is a monumental skyscraper undertaking. For sure, any construction team would be hard-pressed to build the Empire State Building without the proper tools, but there's a lot more to it than that.

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