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Plinz's profile
Joscha Bach
Joscha Bach
Joscha Bach
@Plinz

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Joscha Bach

@Plinz

FOLLOWS YOU. Artificial Intelligence, Cognitive Architectures, Computation. The goal is integrity, not conformity.

San Francisco, CA
bach.ai
Joined April 2009

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    1. Thomas G. Dietterich‏ @tdietterich 3 Jan 2018
      • Report Tweet
      • Report NetzDG Violation

      Thomas G. Dietterich Retweeted Gary Marcus

      Disappointing article by @GaryMarcus. He barely addresses the accomplishments of deep learning (eg NL translation) and minimizes others (eg ImageNet with 1000 categories is small ("very finite") ?). 1/https://twitter.com/GaryMarcus/status/948364570120335363 …

      Thomas G. Dietterich added,

      Gary Marcus @GaryMarcus
      Top 10 reasons #deeplearning isn’t getting us to artificial general intelligence. A critique of deep learning, 5 years into its resurgence, by @garymarcus https://arxiv.org/abs/1801.00631 
      12 replies 187 retweets 450 likes
      Show this thread
    2. Doug Blank‏ @DougBlank 8 Jan 2018
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      There exists a 3-layer network that is Turing-machine equivalent (Franklin and Garzon, 1990), or can compute any finite, discrete function. (That says nothing about possibility of finding those weights.) The statement about limits is countering Marcus' "impending wall." Context.

      3 replies 0 retweets 3 likes
    3. Shlomo Engelson Argamon‏ @ShlomoArgamon 8 Jan 2018
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      Replying to @DougBlank @tdietterich and

      So then let's just program Turing machines to create #AI! Turing-equivalence is a red herring. The question is whether the constraints (hard and soft) in a particular methodology are useful for creating intelligence.

      3 replies 1 retweet 5 likes
      Joscha Bach‏ @Plinz 8 Jan 2018
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      Replying to @ShlomoArgamon @DougBlank and

      IMHO, intelligence is the ability to create models, i.e. to efficiently approximate an almost arbitrarily complex function. The question is not merely whether a substrate representation is Turing complete, but how well a learning system can construct probabilistic algorithms.

      2:47 PM - 8 Jan 2018
      • 1 Like
      • Doug Blank
      1 reply 0 retweets 1 like
        1. Carlos E. Perez‏ @IntuitMachine 8 Jan 2018
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          Replying to @Plinz @ShlomoArgamon and

          Any cognitive system is Turing complete, this a minimum requirement. This shouldn't even be questioned. It's the learning that is critical. As you said, learning how to create models is key.

          0 replies 0 retweets 0 likes
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