“I’m not saying I want to forget deep learning... But we need to be able to extend it to do things like reasoning, learning causality, and exploring the world .” - Yoshua Bengio, not unlike what I have been saying since 2012 in The New Yorker.https://www.technologyreview.com/s/612434/one-of-the-fathers-of-ai-is-worried-about-its-future/ …
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Replying to @GaryMarcus
There's a couple problems with this whole line of attack. 1) Saying it louder ≠ saying it first. You can't claim credit for differentiating between reasoning and pattern recognition. 2) Saying X doesn't solve Y is pretty easy. But where are your concrete solutions for Y?
3 replies 1 retweet 68 likes -
Replying to @zacharylipton
But I did say this stuff first, in 2001, 2012 etc? Not about louder. And no, I don’t know how to solve the problems, but I have pointed to specific directions that are finally getting some air (explicit operations over variables, in particular) that for a long time were dismissed
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Replying to @GaryMarcus
There's nothing new added to this conversation on account of deep vs not deep. Basic questions about the limits of mining associations (vs reasoning) have been plumbed far earlier and far deeper by Rubin, Robins,
@yudapearl, no?3 replies 0 retweets 15 likes -
Replying to @zacharylipton @yudapearl
The basic question IMHO is symbol-manipulation - do we need it or not? Two entirely different classes of problems. No real causal reasoning with out it, but people like Hinton and LeCun dismiss it, and even ridicule it (eg https://sites.google.com/site/krr2015/home/schedule …)
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If only "symbol manipulation" meant anything precise in algorithmic, statistical, or information-theoretic terms (contrast causal inference, for which
@yudapearl et al provided precise distinctions). As it is, "symbol manipulation" is the AI/cogsci analog of intelligent design.3 replies 1 retweet 27 likes -
Replying to @earnmyturns @GaryMarcus and
Strange. Isn't any Turing m/c manipulating symbols in the most precise terms? As in Newell & Simon's physical symbol system hypothesis.
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Replying to @AlanMackworth @GaryMarcus and
Always worth re-reading Section 9 of Turing 1936. The post-Turing confusion is mixing the symbol-on-paper metaphor for sharply distinguishable states with the everyday idea of symbol-as-reference. TM symbols do not refer, they are just parts of the TM's total state.
1 reply 0 retweets 3 likes
Good thing symbolic programming languages (ie all of them) still work.
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