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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 Oct 19
      • Report Tweet

      Since @OpenAI still has not changed misleading blog post about "solving the Rubik's cube", I attach detailed analysis, comparing what they say and imply with what they actually did. IMHO most would not be obvious to nonexperts. Please zoom in to read & judge for yourself.pic.twitter.com/R7HgnyyNRj

      52 replies 866 retweets 2,365 likes
      Show this thread
    2. Woj Zaremba‏ @woj_zaremba Oct 19
      • Report Tweet
      Replying to @GaryMarcus @OpenAI

      1. The first three of your arguments are the same. 2. The generalization is from simulation to reality. It’s not between objects. 3. We have results with not instrumented object which are slightly weaker. 4. Are you convinced that we won’t push performance to 100%?

      11 replies 3 retweets 80 likes
    3. Alex Dautel‏ @howtodowtle Oct 19
      • Report Tweet
      Replying to @woj_zaremba @GaryMarcus @OpenAI

      How can 4. be a serious reply to a criticism of a low success rate? You wouldn't publish a paper on ImageNet with 20 % accuracy and defend it by saying "but we're aiming for 100 %".

      3 replies 0 retweets 14 likes
    4. Woj Zaremba‏ @woj_zaremba Oct 19
      • Report Tweet
      Replying to @howtodowtle @GaryMarcus @OpenAI

      It’s 20% success rate to solve the most difficult configuration of Rubik’s cube. However, on average the success rate is 60%. Moreover, the failure is by dropping the cube. The hand always solves the Rubik’s cube if you put it back the cube after the drop.

      3 replies 0 retweets 8 likes
    5. A Wojcicki‏ @pretendsmarts Oct 20
      • Report Tweet
      Replying to @woj_zaremba @howtodowtle and

      More interesting question is why the drop in performance with face angles taken from vision compared to the "GT" from Giiker. It's a simple case for tracking (cube with distinctive colors). Transferring to real world problems will be (near) impossible with this approach.pic.twitter.com/6YE44BrpqV

      1 reply 0 retweets 1 like
    6. Woj Zaremba‏ @woj_zaremba Oct 20
      • Report Tweet
      Replying to @pretendsmarts @howtodowtle and

      There is a decrease in performance because it's not trivial to predict the exact face angle. Nonetheless, in the meanwhile, we have improved the state estimation performance by just increasing the resolution of input images (not yet reported).

      1 reply 0 retweets 3 likes
    7. Gary Marcus‏ @GaryMarcus Oct 20
      • Report Tweet
      Replying to @woj_zaremba @pretendsmarts and

      humans probably use a lot of haptic information here, which would be another way to go

      2 replies 0 retweets 1 like
    8. Grady Booch‏Verified account @Grady_Booch Oct 20
      • Report Tweet
      Replying to @GaryMarcus @woj_zaremba and

      I was involved in a project that had a robotic arm put a very small pin into a very small hole with very small tolerances. A human solves this by jiggling the pin until it slips in....you can just “feel” it. ..

      2 replies 0 retweets 2 likes
    9. Woj Zaremba‏ @woj_zaremba Oct 20
      • Report Tweet
      Replying to @Grady_Booch @GaryMarcus and

      The robot can indirectly feel despite not using touch. It can feel objects by observing how they move while being pushed.

      2 replies 0 retweets 1 like
      Gary Marcus‏ @GaryMarcus Oct 20
      • Report Tweet
      Replying to @woj_zaremba @Grady_Booch and

      right. i am actually trying to help you here, though, saying that you might be able to get rid of sensors and use a consumer (uninstrumented) cube if you had better haptics.

      4:55 PM - 20 Oct 2019
      • 1 Like
      • Dr Bernd Porr
      2 replies 0 retweets 1 like
        1. New conversation
        2. Rebel Science‏ @RebelScience Oct 20
          • Report Tweet
          Replying to @GaryMarcus @woj_zaremba and

          Haptics would be good. But even without haptics, a system with adequate visual scene understanding and accurate joint sensors would have no trouble handling a Rubik's cube. But it would need a perceptual control system based on predictions and goals. No learning necessary.

          1 reply 0 retweets 0 likes
        3. Dan Greenberg‏ @titudeadjust Oct 20
          • Report Tweet
          Replying to @RebelScience @GaryMarcus and

          Agreed. See purpose-built machine here: (wow) https://youtu.be/by1yz7Toick  @OpenAI can't beat that, which implies a real demo for them would be showing it manipulating multiple "cubes": 3X3, 4X4, pyramid (I have one they can borrow), etc.

          1 reply 0 retweets 2 likes
        4. 1 more reply
        1. Grady Booch‏Verified account @Grady_Booch Oct 20
          • Report Tweet
          Replying to @GaryMarcus @woj_zaremba and

          Yep.

          0 replies 0 retweets 0 likes
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