Math is hard--for neural networks. Particularly multiplication. New benchmarks, problematic performance. = the perils of trying to learn things that might more sensibly be built in. https://arxiv.org/abs/1910.01888
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Math isn't an intrinsic capability of human cognition.
arguable, see eg literature reviewed in the number instance bt @StanDehaene . but arithmetic is definitely innate to most microprocessors and foolish IMHO not to build into AI.
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building up a synthetic notion of number and quantity the way embodied human-animals acquired it, via practicalities of countable, re-identifiable, categorizable things in the world... ... my $0.02: there will be other payoffs for commonsense reasoning we can optimize later
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But that approach misses the point! Why include extra baggage when all evidence shows that it is not needed? Approximate arithmetic is innate, not exact arithmetic.
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A calculator will be a tool to an AGI, the same way it is a tool to a human. It's possible to design an AGI with internal effectors to directly operate a calculator but what would be the point? A hand with fingers is much more universal since it can operate all sorts of tools.
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