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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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    Joscha Bach‏ @Plinz 2 May 2019
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    Language is a way of composing functions by making them low dimensional and discrete. I think of artificial languages (programming and math) as bottoming out in logical functions, natural languages in perceptual categories (which includes the perception of transitions and agency)

    11:02 PM - 2 May 2019 from Palo Alto, CA
    • 11 Retweets
    • 39 Likes
    • Joe Schmoe Cheese Cheung HAL9000 Raphael Kats ☻ interstice Markie Giammarino Lennart Peters Ben Duffy Albert Orozco
    4 replies 11 retweets 39 likes
      1. New conversation
      2. mere_mortise‏ @mere_mortise 3 May 2019
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        Replying to @Plinz

        The discreteness of language seems to stem from brains seeking a single robust interpretation of the world. For sure humans would encode continuous variables in continuous outputs (e.g. pitch), if they could reliably interpret them, but the channel is just too noisy.

        2 replies 0 retweets 0 likes
      3. Joscha Bach‏ @Plinz 3 May 2019
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        Replying to @mere_mortise

        Our perception is stable but continuous. The discreteness of language may be primarily a learnability constraint for shared protocols.

        1 reply 0 retweets 0 likes
      4. 11 more replies
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      2. gab.ai/murali‏ @muralipiyer 2 May 2019
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        Replying to @Plinz

        How do we transition from one form of language to another? Or, Will machines eventually develop language and protocols for social interactions just like we humans did.

        1 reply 0 retweets 0 likes
      3. Joscha Bach‏ @Plinz 2 May 2019
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        Replying to @muralipiyer

        Language is used to manipulate concepts, which are in turn evoking compositional simulations, which can be re-translated into a different language. I don't think that AI needs to be social, but if it has to negotiate with other intelligences it will come up with language.

        1 reply 1 retweet 3 likes
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      1. Joscha Bach‏ @Plinz 3 May 2019
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        Closures, better relative pointers and loop constructs, better spatial, temporal and hierarchical references, distributions, mnemonics for numbers and paths, ...

        0 replies 0 retweets 4 likes
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      1. Joscha Bach‏ @Plinz 2 May 2019
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        Yes, as a child, and later I looked at synthetic natural languages (Ithkuil etc.) and tried to find improvements. I still think that a designer language could improve our cognitive abilities, but eventually this is just the scripting layer and the hard work is done below that.

        0 replies 0 retweets 1 like
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      1. New conversation
      2. Eli Parra  🌊‏ @elzr 3 May 2019
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        Replying to @Plinz

        Parts-of-speech are the standard function arguments. A lot of the work in phrasing a thought comes in arranging, tagging & reformulating words to better serve their part-of-speech roles. I loved the cleanness of Esperanto (o-nouns, a-adj, e-adv..), like going from CXXIII to 123.

        1 reply 0 retweets 1 like
      3. Joscha Bach‏ @Plinz 3 May 2019
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        Replying to @elzr

        Esperanto is the Dvorak keyboard among languages. 20% better, but that is not enough to give sufficient reason for adoption except among nerds...

        0 replies 0 retweets 2 likes
      4. End of conversation
      1. 3ॐc³‏ @S33light 3 May 2019
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        Replying to @Plinz

        I think natural language reduces perceptual content to low dimensional and discrete perceivables, but math/programming language actually inflates low dimensional perceptual samples (like counting) to a high d intellectual 'perception'. Functions may not be ontological.

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