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GaryMarcus's profile
Gary Marcus
Gary Marcus
Gary Marcus
@GaryMarcus

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Gary Marcus

@GaryMarcus

CEO/Founder of http://Robust.AI ; cognitive scientist, and best-selling author. New book: http://Rebooting.AI : Building Artificial Intelligence We Can Trust

garymarcus.com
Joined December 2010

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    1. Gary Marcus‏ @GaryMarcus 20 Dec 2018
      • Report Tweet

      Gary Marcus Retweeted Dan Brickley

      Indeed, once upon a time, Hinton was interested in the same sorts of unification that I believe to be so important.https://twitter.com/danbri/status/1075653592596377600 …

      Gary Marcus added,

      Cover of book, Connectionist Symbol Processing, edited by Geoffrey Hinton
      Dan Brickley @danbri
      Finally, the godfather of Deep Learning is paying attention to @GaryMarcus 's critique... pic.twitter.com/V4MdPNVM5h
      5 replies 14 retweets 62 likes
    2. Yann LeCun‏ @ylecun 21 Dec 2018
      • Report Tweet
      Replying to @GaryMarcus

      Correction: you are attempting to hijack an opinion that Hinton was arguing for in 1991, while you were still in a larval stage. Hinton's view on the topic hasn't changed: how to implement reasoning with neurons and make it compatible with gradient-based learning.

      7 replies 22 retweets 128 likes
    3. Gary Marcus‏ @GaryMarcus 21 Dec 2018
      • Report Tweet
      Replying to @ylecun

      This is a total misrepresentation of Hinton. Hinton was explicitly, then, trying to represent symbols & neurons in a common framework; he explicitly doesn’t want that now. You falsely equate “reasoning with neurons” (which we all agree brains do) with answer to symbol question

      1 reply 1 retweet 7 likes
    4. Dan Brickley‏ @danbri 21 Dec 2018
      • Report Tweet
      Replying to @GaryMarcus @ylecun

      Dan Brickley Retweeted Dan Brickley

      the preface to the book bears up very well (and deserves citing and quoting). Apologies for the hasty phonecam digitization, but again see https://twitter.com/danbri/status/1075686400031305729?s=19 …https://twitter.com/danbri/status/1075794211062968320?s=19 …

      Dan Brickley added,

      couple paragraphs from book, happy to transcribe if anyone needs or is curious just ping me. Talks about connectionist research prioritizing learning over symbol processing formalisms
      Dan Brickley @danbri
      Replying to @GaryMarcus @eigenhector @hardmaru
      not sure what counts as early, he was probably pondering this in the 60s, but the commentary from the preface explicitly highlights that researchers *as a community* were entirely aware of these choices, tradeoffs and challenges in the 80s. (it's also prescient re end-to-end) pic.twitter.com/jgX3vsMEck
      1 reply 0 retweets 2 likes
    5. Dan Brickley‏ @danbri 21 Dec 2018
      • Report Tweet
      Replying to @danbri @GaryMarcus @ylecun

      "Most connectionist researchers are aware of the gulf in representational power between a typical connectionist network and a set of statements in a language such as predicate calculus." [...]

      1 reply 0 retweets 1 like
    6. Dan Brickley‏ @danbri 21 Dec 2018
      • Report Tweet
      Replying to @danbri @GaryMarcus @ylecun

      "They continue to develop the connectionist framework not because they are blind to its current limitations but because they aim to eventually bridge the gulf by building outwards -" [...]

      2 replies 0 retweets 1 like
      Gary Marcus‏ @GaryMarcus 21 Dec 2018
      • Report Tweet
      Replying to @danbri @ylecun

      yes, exactly, and a research program i fully approve of. and now compare that (“eventually bridge”) with the symbols-are-like-aether stance that he had adopted by 2015, https://sites.google.com/site/krr2015/home/schedule … & at recent G7 talk. the two stances can’t both be right.

      10:26 AM - 21 Dec 2018
      • 1 Retweet
      • 2 Likes
      • Michael Payton Alessandro Suglia
      2 replies 1 retweet 2 likes
        1. New conversation
        2. Dan Brickley‏ @danbri 21 Dec 2018
          • Report Tweet
          Replying to @GaryMarcus @ylecun

          "The ability to represent complex hierarchical structures efficiently and to apply structure sensitive operations to these representations seems to be a essential. Most connectionist researchers accept this," [...]

          1 reply 0 retweets 1 like
        3. Dan Brickley‏ @danbri 21 Dec 2018
          • Report Tweet
          Replying to @danbri @GaryMarcus @ylecun

          ..."[Most connectionist researchers accept this], though they expect that this ability may be implemented in ways that have not been anticipated within the standard symbol processing tradition." Pretty clear, and consistent with modern efforts and attitudes.

          1 reply 0 retweets 1 like
        4. 3 more replies
        1. Dan Brickley‏ @danbri 21 Dec 2018
          • Report Tweet
          Replying to @GaryMarcus @ylecun

          Dan Brickley Retweeted Adam Santoro

          https://twitter.com/santoroAI/status/1076161340681715714?s=19 … already said it - "cannot handle structured knowledge" can be taken as a statement on these artifacts' capabilities in the world (remembering our shopping lists, traffic laws) or a claim about how they work. Latter is looking increasingly aetherial...

          Dan Brickley added,

          Adam Santoro @santoroAI
          Replying to @tyrell_turing @GaryMarcus and 2 others
          Lets not muddle representation with computation. Humans can reason about symbols, but this doesn't mean the cognitive capacity under the hood is a "symbolic reasoning"-based one. There's nothing new about distributed systems using localist representations (symbols), as you imply
          0 replies 0 retweets 1 like
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