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

Tweets

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. Joscha Bach‏ @Plinz 8 Dec 2017
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      AlphaZero turning Chess into a kind of TicTacToe in four hours is depressing if you were hoping for a future of AI augmented humans in which every contribution of the human is not making things worse

      2 replies 3 retweets 14 likes
    2. Justin Stares‏ @JustinStares 8 Dec 2017
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      Replying to @Plinz

      Do you mean that AlphaZero suggests AI will be more powerful than expected?

      2 replies 0 retweets 0 likes
    3. Joscha Bach‏ @Plinz 8 Dec 2017
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      Replying to @JustinStares

      Well, what did you expect?

      1 reply 0 retweets 0 likes
    4. Justin Stares‏ @JustinStares 8 Dec 2017
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      Replying to @Plinz

      I was trying to understand what you meant when you wrote that the results were "depressing"...

      1 reply 0 retweets 0 likes
    5. Joscha Bach‏ @Plinz 8 Dec 2017
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      Replying to @JustinStares

      I found the fact that for a while human players with chess programs were better than chess programs alone quite consoling. Do we want our societies, economic units and scientific research programs to be administered by machines, or can we justify to keep a human in the loop?

      2 replies 0 retweets 3 likes
    6. Justin Stares‏ @JustinStares 8 Dec 2017
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      Replying to @Plinz

      I see. That said, chess is nowhere near as complex as, say, language. Perhaps better to postpone depression until machines can fathom meaning (are you listening, Siri?)

      1 reply 0 retweets 0 likes
    7. Joscha Bach‏ @Plinz 8 Dec 2017
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      Replying to @JustinStares

      I think the functional realization of the representation of meaning is not hard. The difficulties are still in finding ways to efficiently approximate more general classes of functions than we can do with stochastic gradient descent.

      1 reply 0 retweets 4 likes
    8. Justin Stares‏ @JustinStares 8 Dec 2017
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      Replying to @Plinz

      Google translate vectors are in my opinion a step forward, but I have seen no true "functional realization of the representation of meaning". Is there one? If it's "not hard", then surely this problem should have been solved already?

      1 reply 0 retweets 0 likes
      Joscha Bach‏ @Plinz 8 Dec 2017
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      Replying to @JustinStares

      The conceptual manifold that the translate vectors operate on can be thought of as an address space to the actual mental representations: the predictive functions that generate the virtual dream world that you perceive as reality.

      4:31 AM - 8 Dec 2017
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      • Shobith Alva Jing 靖源
      1 reply 0 retweets 2 likes
        1. New conversation
        2. Justin Stares‏ @JustinStares 8 Dec 2017
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          Replying to @Plinz

          Agreed: the theory of 'word space'. But vector values used by G. translate are based on big data (written input). The vector values I use in my "virtual dream world" are different: they are multi-sensory. I'm not saying it's impossible, just that it hasn't been done yet.

          1 reply 0 retweets 1 like
        3. Joscha Bach‏ @Plinz 8 Dec 2017
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          Replying to @JustinStares

          Because the conceptual manifold is tied to language and shared between speakers, its shape can be inferred from statistics over text. But to imagine what things look like, you need to infer their shape from patterns on your retina and skin.

          1 reply 0 retweets 0 likes
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