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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. Manuel Baltieri‏ @manuelbaltieri Nov 10
      • Report Tweet

      Manuel Baltieri Retweeted Gary Marcus

      I swear I'll never understand why people focus so much on representations and symbol manipulation. Causality? We probably just correlate things to the point we believe A causes B. Cost-benefit analysis? Evolution.https://twitter.com/GaryMarcus/status/1193212202334871552 …

      Manuel Baltieri added,

      Gary Marcus @GaryMarcus
      What is the least amount of innate machinery we would need to build an intelligent creature? My proposal from 2018 [https://arxiv.org/pdf/1801.05667.pdf …] is below. (Convolution=translational invariance) cc @WiringTheBrain @TonyZador @Zergylord @ylecun @punkstrategy @pmddomingos pic.twitter.com/MmxDHfSwJ2
      4 replies 0 retweets 5 likes
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    2. Manuel Baltieri‏ @manuelbaltieri Nov 11
      • Report Tweet

      Totally agree. @GaryMarcus seems, as every other advocate of the computational metaphor of the mind, confused by what a system is and ought to do, and the use of metaphors to describe such a system. A Cartesian theatre dressed as unspecified claims about causality.

      1 reply 0 retweets 2 likes
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    3. Gary Marcus‏ @GaryMarcus Nov 11
      • Report Tweet
      Replying to @manuelbaltieri

      by your same argument, if I understand it, computer programs should be locked in a Cartesian theatre, and hence not exist in the real world. I don't really get your concern and how it makes representational computation routine for machines but implausible for humans.

      1 reply 0 retweets 0 likes
    4. Manuel Baltieri‏ @manuelbaltieri Nov 11
      • Report Tweet
      Replying to @GaryMarcus

      A representation for whom? In a personal “computer”, for the real computers: us. In the brain, who for? P, Q, R, S: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=033107DCD41E5B6A32BDCC81DC1AEF57?doi=10.1.1.37.7244&rep=rep1&type=pdf … 1/2

      2 replies 0 retweets 0 likes
    5. Manuel Baltieri‏ @manuelbaltieri Nov 11
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      Replying to @manuelbaltieri @GaryMarcus

      The approach you suggest makes us look for King Kong transistors in a processor: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005268 … 2/2

      1 reply 0 retweets 1 like
    6. Gary Marcus‏ @GaryMarcus Nov 11
      • Report Tweet
      Replying to @manuelbaltieri

      Your approach would have told William Harvey to reject the hypothesis that the heart was a mechanical pump. [Know the paper you cite well, helped shepherd it into being, but conclusion you draw doesn't follow from the paper] Not finding this thread helpful, may not further reply

      1 reply 0 retweets 0 likes
    7. Manuel Baltieri‏ @manuelbaltieri Nov 11
      • Report Tweet
      Replying to @GaryMarcus

      Causality: you claim we need it (why?), but you’re not ready to define it (because it’s useless, you say), and you’re not telling me/us what we need to do to have it (how to operationalise it) after I suggested that Pearl’s definition requires representations. 1/2

      1 reply 0 retweets 1 like
    8. Manuel Baltieri‏ @manuelbaltieri Nov 11
      • Report Tweet
      Replying to @manuelbaltieri @GaryMarcus

      I’m sure other people are genuinely as puzzled as I am. 2/2

      2 replies 0 retweets 1 like
      Gary Marcus‏ @GaryMarcus Nov 11
      • Report Tweet
      Replying to @manuelbaltieri

      so you attack me for logically entailing King Kong transistors, whatever that means? because I am not specific enough about causality? I am out.

      8:24 AM - 11 Nov 2019
      3 replies 0 retweets 0 likes
        1. Manuel Baltieri‏ @manuelbaltieri Nov 11
          • Report Tweet
          Replying to @GaryMarcus

          I am (and I’m sure other people are too) very happy to discuss any of your claims and their merit once you provide enough of an explanation for what you actually mean. Otherwise these are, I will partially agree, not very fruitful discussions.

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        2. Hyon S Chu‏ @hyonschu Nov 11
          • Report Tweet
          Replying to @GaryMarcus @manuelbaltieri

          I may be mistaken, but seems you'd need causality and cost-benefit analysis to break out of the frame and relevance problems. How do I accomplish X? What happens after I accomplish X so that Y is not counter to (or objectively worse than) what I wanted to by accomplishing X?

          1 reply 0 retweets 1 like
        3. Manuel Baltieri‏ @manuelbaltieri Nov 11
          • Report Tweet
          Replying to @hyonschu @GaryMarcus

          That is the intuition. Now, how do we operationalise this idea? If we follow Pearl, "I" is the scientist, "X" and "Y" are random variables on a DAG, interventions are applied by "I" to "X" and/or "Y". 1/2

          1 reply 0 retweets 0 likes
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        1. Rebel Science‏ @RebelScience Nov 11
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          Replying to @GaryMarcus @manuelbaltieri

          LOL. Marcus knows he's out of his comfort zone (telling others what they already know), so he hightails it back to his corner. 😃

          0 replies 0 retweets 0 likes
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