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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. Michael Harries‏ @michaelharries 29 Nov 2018
      • Report Tweet

      Opinion | Artificial Intelligence Hits the Barrier of Meaninghttps://buff.ly/2D5RSJG 

      1 reply 3 retweets 3 likes
    2. James‏ @AwokeKnowing 1 Dec 2018
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      Replying to @michaelharries @RobotLaunch

      always easy to bash AI. There is no 'barrier' it's a continuous spectrum. AI is steadily incrementing its understanding of 'meaning' of various things. True there is a long way to go though. But hiding behind an imaginary 'barrier' isn't going to help us in the end.

      2 replies 0 retweets 1 like
    3. Michael Harries‏ @michaelharries 1 Dec 2018
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      Replying to @AwokeKnowing @RobotLaunch

      Not much imaginary about causal and complex reasoning. For many people, AI="deep learning", and that technique has well documented issues, as @GaryMarcus has been delighting in pointing out. ...

      1 reply 0 retweets 3 likes
    4. James‏ @AwokeKnowing 1 Dec 2018
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      Replying to @michaelharries @RobotLaunch @GaryMarcus

      That's exactly what they said about Go. Required intuition and long term planning. No brute force or simple algo could do it without understanding complex modeling of opponents' intentions.

      1 reply 0 retweets 1 like
    5. Michael Harries‏ @michaelharries 2 Dec 2018
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      Replying to @AwokeKnowing @RobotLaunch @GaryMarcus

      Fair call, and therein lies the trap. Solving go was/is a massive achievement and demonstrates brute force success on that class of problems. It doesn't mean that all problems are amenable to that particular hammer.

      1 reply 0 retweets 1 like
    6. James‏ @AwokeKnowing 2 Dec 2018
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      Replying to @michaelharries @RobotLaunch @GaryMarcus

      On the contrary, I don't think DeepMind characterizes alpha zero as brute force. It it quickly develops an understanding of the problem at super human level without trying even a tiny fraction of the possibilities.

      1 reply 0 retweets 0 likes
    7. Gary Marcus‏ @GaryMarcus 2 Dec 2018
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      Replying to @AwokeKnowing @michaelharries @RobotLaunch

      Albeit still using a ton of computation; depends on your definition. The point about hammers and nails holds, either way.

      1 reply 0 retweets 0 likes
    8. James‏ @AwokeKnowing 2 Dec 2018
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      Replying to @GaryMarcus @michaelharries @RobotLaunch

      Well clearly the human brain uses an enormous amount of computation to develop an understanding of the game of go at professional levels. This is not a mark against intelligence or understanding.

      1 reply 0 retweets 0 likes
    9. Gary Marcus‏ @GaryMarcus 2 Dec 2018
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      Replying to @AwokeKnowing @michaelharries @RobotLaunch

      No, but you might want to check the top right data point here to put things in context:https://blog.openai.com/ai-and-compute/ 

      1 reply 0 retweets 0 likes
    10. James‏ @AwokeKnowing 2 Dec 2018
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      Replying to @GaryMarcus @michaelharries @RobotLaunch

      I think when we thought of computation as a serial logical endeavor, those numbers seemed outlandish for AI. But in the Neural Network parallel training context, it means something more like 'more brain cells', not a deficiency. Brain seems to do petaflops of computation also.

      1 reply 0 retweets 0 likes
      Gary Marcus‏ @GaryMarcus 2 Dec 2018
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      Replying to @AwokeKnowing @michaelharries @RobotLaunch

      Or you can think it of in terms of # games played or energy consumed...

      9:48 AM - 2 Dec 2018
      1 reply 0 retweets 0 likes
        1. New conversation
        2. James‏ @AwokeKnowing 2 Dec 2018
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          Replying to @GaryMarcus @michaelharries @RobotLaunch

          On the energy front there's clearly a massive deficiency due to current compute architectures, for the equivalent amount of 'biological' computation. The compute substrate is orthogonal to 'understanding meaning'. Its also not clear how many games a pro has mentally simulated.

          1 reply 0 retweets 0 likes
        3. Michael Harries‏ @michaelharries 2 Dec 2018
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          Replying to @AwokeKnowing @GaryMarcus @RobotLaunch

          Wikipedia: 4.9M games in three days for AlphaGo Zero - seems a little excessive for humans, but who knows. This is an awesome approach for domains that can be fully simulated (protein folding, etc) but comes at the problem in a very different way to human mind.

          2 replies 0 retweets 0 likes
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