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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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    Gary Marcus‏ @GaryMarcus Oct 15
    • Report Tweet

    #DeepLearning #hype alert: ⁦@OpenAI⁩’s paper on Rubik’s cube solving starts “We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand”; mentions critical hardwired symbol-manipulating cube solver only at ref. 111https://openai.com/blog/solving-rubiks-cube/ …

    7:48 PM - 15 Oct 2019
    • 49 Retweets
    • 145 Likes
    • bearbearbear Sofia Vivas Tiago Martins Peres Mike Fragassi ChinHuiChen (symbol-slayer '(masataro . asai)) Coastal & Corporate Bill Bennett Sarah Constantin
    13 replies 49 retweets 145 likes
      1. New conversation
      2. Gary Marcus‏ @GaryMarcus Oct 16
        • Report Tweet
        Replying to @halhod @OpenAI

        Facts: 1. If it was easy to do as pure neural network, OpenAI probably would have done it. 2. The closest I can find is linked, and is a hybrid system, NOT a pure CNN. 3. The current paper misrepresented what they did, as if it were not a hybrid.https://www.nature.com/articles/s42256-019-0070-z …

        1 reply 1 retweet 17 likes
      3. 1 more reply
      1. New conversation
      2. Mark Gubrud‏ @mgubrud Oct 15
        • Report Tweet
        Replying to @GaryMarcus @j2bryson @OpenAI

        Probably also didn't dwell too much on details of the chips used or the type of flooring in their lab space. They were working on dextrous object manipulation, not solving Rubik's cube.

        1 reply 0 retweets 15 likes
      3. Seyed P. Razavi‏ @monkeyx Oct 15
        • Report Tweet
        Replying to @mgubrud @GaryMarcus and

        Yeah, @GaryMarcus seems to be making a bit of a cheap shot here. Missing the achievement in pursuit of decrying hype as part of a narrative that reaffirms his prior views.

        1 reply 0 retweets 12 likes
      4. 12 more replies
      1. New conversation
      2. un1crom‏ @un1crom Oct 15
        • Report Tweet
        Replying to @GaryMarcus @OpenAI

        Also the set up is one hand and like 12 cameras in a non moving glass box. That’s not human like. At all.

        2 replies 1 retweet 7 likes
      3. Max Little‏ @MaxALittle Oct 15
        • Report Tweet
        Replying to @un1crom @GaryMarcus @OpenAI

        A very pertinent point. A lot is made here about transferring from simulation to real world, but the physical world setup seems so constrained as to effectively undermine that claim.

        0 replies 1 retweet 3 likes
      4. End of conversation
      1. 𝒶𝓁𝓌𝒶𝓎𝓈 🄵🅁🄴🅂🄷‏ @rhyolight Oct 15
        • Report Tweet
        Replying to @GaryMarcus

        pic.twitter.com/j2DRclkYNG

        0 replies 1 retweet 13 likes
        Thanks. Twitter will use this to make your timeline better. Undo
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      1. New conversation
      2. Ulrich Junker‏ @UlrichJunker Oct 15
        • Report Tweet
        Replying to @GaryMarcus @OpenAI

        Does the network pair learn to *solve* the Rubik’s cube puzzle or does it only learn how to *manipulate* a Rubik’s cube with a robotic hand?

        1 reply 0 retweets 3 likes
      3. David Manheim‏ @davidmanheim Oct 16
        • Report Tweet
        Replying to @UlrichJunker @GaryMarcus @OpenAI

        Manipulate only. That's exactly what he's pointing out the paper says when citing ref. 111pic.twitter.com/jjLM7ea9NX

        1 reply 0 retweets 2 likes
      4. 2 more replies
      1. New conversation
      2. Matthew Crosby‏ @MaCroPhilosophy Oct 16
        • Report Tweet
        Replying to @GaryMarcus @OpenAI

        This seems like an odd shot. The linked blog post mentions under the first heading that they use Kociemba’s algorithm for picking solution steps. I never assumed it was about anything but dexterity. I thought the reporting was a step in the right direction for OpenAI.

        1 reply 0 retweets 3 likes
      3. A Wojcicki‏ @pretendsmarts Oct 17
        • Report Tweet
        Replying to @MaCroPhilosophy @GaryMarcus @OpenAI

        The difficult part was sensing/control policy, but the PR department can still do better. Everything is in the paper (including the high failure rate), but most people will just watch the short promo video with some 'inspirational' statements about future of robotics 1/2

        1 reply 0 retweets 1 like
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