You may not be trying, but that doesn’t mean that’s not a potential outcome. GOFAI died for a reason, dude...https://twitter.com/garymarcus/status/1003281087974531072 …
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Replying to @tyrell_turing
of course it could die; if we maintain the current ratio of hype to genuine innovation, without achieving robustness, it will.
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Replying to @GaryMarcus
1/ It’s not about “hype”, or “genuine innovation”, that’s pretty meaningless word play. The Q is whether abandoning NNs in favour of innate symbol proc systems is a good idea for anyone to pursue.
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Replying to @tyrell_turing @GaryMarcus
2/ I don’t think innate symbol proc is a good path for anyone to go down. Why? Because of what I’ve learned about natural intelligence in real brains.
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Replying to @tyrell_turing @GaryMarcus
3/ There are innate priors in the brain’s architecture, but everything is plastic. I spent my PhD sculpting receptive field in the midbrain visual systems of *frogs*. All species’ brains are adaptable by experience.
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Replying to @tyrell_turing @GaryMarcus
4/ Plus, ppl can’t do symbol proc innately. We *learn* to do symbol proc. And it’s difficult for us. Language isn’t a counterexample - ppl struggle with many sentences that are technically grammatical. Chompskian UG never accounted for real human data well.
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Replying to @tyrell_turing @GaryMarcus
1/ Symbol proc may be difficult for humans. But we are the only species that has the capability to do so. Doesn't it indicate that symbol proc has to do something with humal-level intelligence.
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actually lots of evidence for symbol manipulation in other species, I reviewed some n Algebraic Mind, but humans are best at acquiring new rules in new domains
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Replying to @GaryMarcus @nimish15shah
Yeah, I’m totally willing to buy that some other species can do symbol processing (non-human animals can be really smart!). But, as you will have guessed, my bet would be that that is because they too have the general purpose learning algorithms that we do. Time will tell...
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