zlacker

> That is indeed true. But we do have classic fuzzy logic, and it can be used to answer these questions. E.g. a "stool" maybe a "chair", but "automobile" is definitely not.

I’m not convinced that classical fuzzy logic will ever solve this - at least not if every concept needs to be explicitly programmed in. What a “chair” is sort of subtly changes at a furniture store and at a campsite. Are you going to have someone explicitly, manually program all of those nuances in? No way! And without that subtlety, you aren’t going to end up with a system that’s as smart as chatgpt. Challenge me on this if you like, but we can play this game with just about any word you can name - more or less everything except for pure mathematics.

And by the way, modern ML approaches understand all of those nuances just fine. It’s not clear to me what value - if any - symbolic logic / expert systems provide that chatgpt isn’t perfectly capable of learning on its own already.