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This is the reason I am not so much interested in this field. It is too much "let's try this and see what happens" rather than really engineering a solution.

I guess more people feel that way, and I guess that is a good thing, otherwise everybody would now be working on AI, since it is such a promising field.

Some AI pioneers seem to feel that rule-based symbolic solutions still have a place, e.g.


If we are depending on AI systems to make important decisions, possibly life-or-death decisions, shouldn't we understand how they come to the conclusions that they do?

I cannot deny the tremendous advances in neural networks recently, but I find Sussman's point compelling.

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