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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 11 Mar 2019
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    The universe that contains us can be tackled well by the simple mathematics of machine learning, which is unsurprising insofar as in order to let us be contained in it, our particles, cells and organisms had to successfully tackle the substrate complexity as well.

    2:42 PM - 11 Mar 2019 from San Francisco, CA
    • 9 Retweets
    • 35 Likes
    • Dschingis Hahn // Systemr🐘 Tristan Wegner Shobith Alva HC Jonas c0ndr3t Matt Guttman Tequehead Florian Gallwitz
    11 replies 9 retweets 35 likes
      1. New conversation
      2. Matt Guttman‏ @RealtimeAI 11 Mar 2019
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        Replying to @Plinz

        By “universe that contains us” are you referring to the models of the world that we create?

        2 replies 0 retweets 2 likes
      3. Marco lin‏ @marcolin91 11 Mar 2019
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        Replying to @RealtimeAI @Plinz

        I think maybe this sheds light on what he's saying? From a talk of his years ago. I think he's implying that the tackling is a kind of expansion outwards, a rebellion against the external or imposed disorder by extending outwards its domain of order or autopoietic dominion. 🤔pic.twitter.com/26r05sfetu

        1 reply 0 retweets 1 like
      4. 5 more replies
      1. RichardDorset‏ @richarddorset 11 Mar 2019
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        Replying to @Plinz

        Concepts of Simplexity and complicity (Jack Cohen, Ian Stewart) seem relevant here, but I'm no mathematician or biologist.

        0 replies 0 retweets 1 like
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      1. Jonathan Leonard‏ @johanatan 11 Mar 2019
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        Replying to @Plinz

        This is obviously true at some level of detail. I just doubt that it is true at the lowest, near Planck length, levels.

        0 replies 1 retweet 0 likes
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      1. Turil Cronburg‏ @thewiseturtle 12 Mar 2019
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        Replying to @Plinz

        Is there a specific algorithm that generates the math that Pascal's triangle does? (Making all possible combinations, in a logical, and random, way.) I think this will be the ultimate way to categorize everything, for universal language, and sorting, and relationships.

        0 replies 0 retweets 1 like
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      1. Demirlenk‏ @demirlenk92 11 Mar 2019
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        Replying to @Plinz

        Which simple mathematics? Optimization, statistics, expected utility theory. None is simple but networks. Networks are the only correct ingredient so far.

        0 replies 0 retweets 0 likes
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      1.  🦋 Cornelia Oldekamp‏ @nr1woman 11 Mar 2019
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        Replying to @Plinz

        We are machines in a bigger machine operatief only bc of the smaller machines . Sorta way ?

        0 replies 0 retweets 0 likes
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      2. Tom Kelly ケリー・トム‏ @tomkXY 12 Mar 2019
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        Replying to @Plinz

        There’s a lot we don’t know about those cells from their biochemistry to evolution. It’s far from “simple” for us to understand so I doubt will be easy for AI either. https://xkcd.com/793/ pic.twitter.com/MT677URi4G

        1 reply 0 retweets 0 likes
      3. Turil Cronburg‏ @thewiseturtle 12 Mar 2019
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        Replying to @tomkXY @Plinz

        Possibly the most valuable education I've had was reading (a good chunk of) @stephen_wolfram's New Kind of Science book, where I saw how simple math can lead to infinite complexity in a system. Evolution (and I believe entropy) has simple math, generating stunning complexity.

        0 replies 0 retweets 0 likes
      4. End of conversation
      1. 3ॐc³‏ @S33light 12 Mar 2019
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        Replying to @Plinz

        And yet, for most of history, human experience has very limited access to mathematics. Only simple arithmetic is intuitive to most people, and some cultures lack any real concept of numbers still. How does a machine learn to forget?

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