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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. Thomas G. Dietterich‏ @tdietterich Oct 27
      • Report Tweet

      I just published What does it mean for a machine to ‘understand’? https://link.medium.com/vvNZ4pks80  1/

      26 replies 250 retweets 862 likes
      Show this thread
    2. sandya mannarswamy‏ @sandyasm Oct 27
      • Report Tweet
      Replying to @tdietterich

      reg. your example, Who did IBM’s Deep Blue system defeat?, i would argue (ala @GaryMarcus) that it is not true understanding. Just try rephrasing the question: Who defeated deep blue? -> I get the answer "IBM". if it understood the previous qn, it shouldn't make that mistake 1/

      1 reply 1 retweet 1 like
    3. sandya mannarswamy‏ @sandyasm Oct 27
      • Report Tweet
      Replying to @sandyasm @tdietterich @GaryMarcus

      current QA systems are just picking up the stastical correlations without understanding the question or context, This has been shown in prior work on robustness of current QA systems (@percyliang & @robinomial). 2/

      2 replies 3 retweets 7 likes
    4. sandya mannarswamy‏ @sandyasm Oct 27
      • Report Tweet
      Replying to @sandyasm @tdietterich and

      IMHO, the fact that they end up getting correct answers to many questions is NOT equivalent to "understanding" the question/context. It is more a "clever hans" effect. It is true that "clever hans" effect suffices many tasks, for limited conditions 3/

      4 replies 0 retweets 3 likes
    5. Thomas G. Dietterich‏ @tdietterich Oct 27
      • Report Tweet
      Replying to @sandyasm @GaryMarcus and

      A poor implementation (e.g., statistical correlations, memorized rules) will lead to poor understanding. But it is still understanding some of the cases. "understanding" is a functional notion, whereas pattern matching and ML are implementation methods. 1/

      2 replies 0 retweets 4 likes
    6. Thomas G. Dietterich‏ @tdietterich Oct 27
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      Replying to @tdietterich @sandyasm and

      Your intuition is correct that existing correlation-based ML methods are not going to get you deep understanding. But they can get you something usable, and perhaps they are part of a larger and more comprehensive approach

      1 reply 0 retweets 5 likes
      Gary Marcus‏ @GaryMarcus Oct 28
      • Report Tweet
      Replying to @tdietterich @sandyasm and

      What about GPT-2 responses to prompts the math word problems I shared, often nearly random, yet perhaps very occasionally correct. Those cases are bit like a broken clock that is correct twice a day. = shallow understanding?

      5:33 AM - 28 Oct 2019
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      • Domenico Bellomo Ulrich Junker
      0 replies 0 retweets 2 likes

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