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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. Kyunghyun Cho‏ @kchonyc 14h14 hours ago
      • Report Tweet

      Kyunghyun Cho Retweeted Gary Marcus

      @GaryMarcus I would like in fact to hear a solid and testable proposal based on your 20 years of insisting how ML is not on the right track (as you said in an earlier tweet in this week), instead of another essay.https://twitter.com/GaryMarcus/status/1200613819518599169 …

      Kyunghyun Cho added,

      Gary Marcus @GaryMarcus
      Indeed. In fact there's been so much misinformation lately I've written a new essay about that. Watch for it tomorrow, at @gradientpub https://twitter.com/hiankun_taioan/status/1200350048539705344 …
      9 replies 9 retweets 96 likes
      Show this thread
    2. Gary Marcus‏ @GaryMarcus 13h13 hours ago
      • Report Tweet
      Replying to @kchonyc

      The solid proposal is that we need to search a different part of model space, as described in detail in 2001, where I made several specifics proposals about important challenges that the ML community simply has refused (for the most part) to engage with. I can't do it on my own.

      2 replies 0 retweets 7 likes
    3. Kyunghyun Cho‏ @kchonyc 13h13 hours ago
      • Report Tweet
      Replying to @GaryMarcus

      @GaryMarcus "search a different part of model space" is not a testable proposal, nor your whole book from 2001 is. I wanted to hear what that different part is, in equations or pseudo code.

      3 replies 0 retweets 25 likes
    4. Gary Marcus‏ @GaryMarcus 13h13 hours ago
      • Report Tweet
      Replying to @kchonyc

      - look at relationships between variables, a la ILP and MLNs and some recent work in differentiable programming - include a type-token distinction - don’t waste your time with bags of features; only consider architectures with structured representations - learn a common sense db

      3 replies 3 retweets 15 likes
    5. Gary Marcus‏ @GaryMarcus 12h12 hours ago
      • Report Tweet
      Replying to @GaryMarcus @kchonyc

      i have also made a strong specific claim about innateness, suggesting we should be focusing our efforts on finding mechanisms that can represent all of the following independently of experience:pic.twitter.com/x3N32jqcv6

      4 replies 4 retweets 15 likes
    6. Carlos E. Perez  🧢‏ @IntuitMachine 3h3 hours ago
      • Report Tweet
      Replying to @GaryMarcus @kchonyc

      I see the list having two problems (1) It doesn't identify intermediate animal cognition that may be necessary stepping stones and (2) it does not specify the mechanisms of how cognition develops these capabilities. Endpoints but no prescriptions on how to get there.

      1 reply 0 retweets 0 likes
      Gary Marcus‏ @GaryMarcus 3h3 hours ago
      • Report Tweet
      Replying to @IntuitMachine @kchonyc

      i review animal evidence in algebraic mind; agree it is prescription, do give some suggestions there.

      6:59 AM - 30 Nov 2019
      1 reply 0 retweets 0 likes
        1. New conversation
        2. Carlos E. Perez  🧢‏ @IntuitMachine 3h3 hours ago
          • Report Tweet
          Replying to @GaryMarcus @kchonyc

          Would you then agree that almost every bullet point in your list appears to be available to mammals? Which one's are exclusively human?

          1 reply 0 retweets 0 likes
        3. Carlos E. Perez  🧢‏ @IntuitMachine 3h3 hours ago
          • Report Tweet
          Replying to @IntuitMachine @GaryMarcus @kchonyc

          To make some progress, we have to understand what the stepping stones are to human complete intelligence before we even tackle human complete intelligence. We can't take quantum jumps, science has no wormholes.

          0 replies 0 retweets 0 likes
        4. End of conversation

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