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I'm not 100% clear what you mean by heuristic/ad-hoc. The first AI winter happened because researchers (e.g. Lenat) thought they could build true AI (conscious
by nix0n 10y ago
I'm not 100% clear what you mean by heuristic/ad-hoc. The first AI winter happened because researchers (e.g. Lenat) thought they could build true AI (consciousness) out of millions of rules.
If rules, guidelines, and heuristics can beat neural nets at driving (which they might, I agree with you on that) it won't start a new AI winter because it won't erase the other things that neural nets are good at (e.g. classification).
- faragon 10y agoSure, "real" AI is important. I meant that using massive resources for solving simple problems with expensive AI will drive to deception, as soon as someone shows equivalent results by using cheaper AI (e.g. minimax, pathfinding, linear optimization, expert systems, etc.). In my opinion, it is like hunting ducks with cannons when using a simple gun could be enough for it. In my opinion, real advances apart, a large portion of the "new AI bussines" is just a way of getting money from investors telling following magic words: "deep learning", "big data", "jump the wagon before it gets too late", etc.