One way to describe intelligence is as "the ability to understand something from a partial description". How minimalist this description can be is a measure of intelligence.
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If your AI needs an excruciatingly exhaustive description of its task (as an explicit handcrafted program, or as a dense sampling of a static data manifold), it isn't actually intelligent. When you operate it, you're just querying the information you put into it. No autonomy.
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Intelligence is the ratio with which your AI converts information about a task into skill at that task. Importantly, the task is typically not static, so "skill" here targets *future* situations, which may be very unlike past ones.
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The conversion is from past operating space to future operating space.
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By this definition, I wonder whether I’m intelligent
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AlphaZero's CNN has about 50M parameters (probably could be reduce 10X easily), still it captures an intuition that can beat the best experts on games and situations it has never seen. I would not call "intelligence", but it neither "just a query" of what was put in.
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The AlphaZero CNN is not the same as a hashtable in the sense that it's capable of performing local generalization via interpolation (much like any parametric function that you fit to a manifold of data). It has non-zero generalization power. But that's still local generalization
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By this definition keypoint based computer vision is more intelligent than dense CNN approaches.
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if handcrafted, then it'd only be an optimization problem and not intelligence
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