But is that what AI folks want? Or are they after the ability to perform abstract reasoning and other really intellectual operations better than humans can?
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Replying to @WiringTheBrain @ylecun and
Indeed, what AI folk want is abstract reasoning. They tried jumping straight to it under the Minsky Symbolic AI program, which failed. Maybe we can jump straight to human cognition with ML, but i'm skeptical. I think we need to pass through mouse intelligence. Short jump to human
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Replying to @TonyZador @WiringTheBrain and
a. premature argument to say "symbolic AI" failed (using < .01% current compute) when deep learning could have been dismissed in same way in 2009 b. ignores hybrid neurosymbolic models. c. it's not that short a leap, inasmuch as vast majority of mammals did not evolve language
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Replying to @GaryMarcus @WiringTheBrain and
Yes, most animals didnt evolve language. But language evolved in a blink, ~200Kyrs (or 1Myrs, if you think Neanderthal and Denisovan had language). And population sizes were small, and generations long, which suggests it's a very easy evolutionary step for apes to get language.
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Replying to @TonyZador @WiringTheBrain and
- it’s not that easy or more primates would be talking; the adaptive advantage is likely huge - but yes the only way to evolve language quick is to already have a genome packed chock full of innate tools that are good for cognition. that was key point of The Birth of the Mind
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Replying to @GaryMarcus @TonyZador and
So, then what are those elements of cognition that brains have that AI doesn't? Is it the architecture for predictive processing? Is it that they incorporate value and meaning through experience?
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Replying to @WiringTheBrain @TonyZador and
again my opening bid is the list of 10 things here: https://arxiv.org/abs/1801.05667
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Replying to @GaryMarcus @TonyZador and
Okay, these all seem useful:pic.twitter.com/KSTcTnLpCo
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Replying to @WiringTheBrain @GaryMarcus and
Then the question is what kind of neural architecture can support those computations or cognitive functions?
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Replying to @WiringTheBrain @GaryMarcus and
And do we need to really build all those things in to the architecture or can we build in more primitive neural functions that naturally allow us to learn those functions? (I guess that would be more along
@ylecun's thinking)2 replies 0 retweets 3 likes
i have never seen an architecture induce one of them.
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Replying to @GaryMarcus @TonyZador and
Okay, but how far are we to understanding the kind of architecture that can support "representations of objects" or "operations over variables" (I don't actually know exactly what that refers to here) or "causality"?
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Replying to @WiringTheBrain @GaryMarcus and
How customised do those architectures have to be and how far are they from artificial neural networks?
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