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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. Sarah Constantin‏ @s_r_constantin 31 Dec 2019
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      A lot of people just don’t believe in their hearts that different skills are a thing, that you can be good at one thing and bad at another. And people especially don’t like the notion that you can be better at the stylistic part of writing than the “making sense” part.

      2 replies 3 retweets 15 likes
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    2. Sarah Constantin‏ @s_r_constantin 31 Dec 2019
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      But look: my mom, who worked in academic publishing, could do a brilliant job editing a math manuscript for style without knowing calculus.

      2 replies 1 retweet 14 likes
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    3. Sarah Constantin‏ @s_r_constantin 31 Dec 2019
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      She also subconsciously imitated the accent of whoever she was speaking to. And picked up Romanian by listening to phone conversations. She had a freakishly good ear. I’m convinced this is a single phenomenon.

      1 reply 0 retweets 11 likes
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    4. Sarah Constantin‏ @s_r_constantin 31 Dec 2019
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      If I watch an episode of Peaky Blinders I’ll acquire an Irish accent by osmosis for the next hour. I subconsciously pastiche whichever writer I’ve been reading lately. I can’t *not* mirror conversational tone & emotion. One phenomenon.

      1 reply 0 retweets 12 likes
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    5. Sarah Constantin‏ @s_r_constantin 31 Dec 2019
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      I claim Scott Alexander has the same thing: writes compulsively, great at style pastiche, nobody believes him when he says he’s bad at math.

      3 replies 0 retweets 19 likes
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    6. Sarah Constantin‏ @s_r_constantin 31 Dec 2019
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      I think some people are legitimately better at style than sense or vice versa! They are not faking! Fluent pattern-matching != structural comprehension!

      1 reply 0 retweets 17 likes
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    7. Joscha Bach‏ @Plinz Dec 31
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      Replying to @s_r_constantin

      Spectrum disorders may in part be explained by differences in attention. GPT-2 is a deeper model, but it is not a fully integrated one. Meaning is given by the relationships to a more or less unified model of the universe. I wonder if we need to go deeper, sparser or different.

      1 reply 0 retweets 1 like
    8. Marc‏ @zarzuelazen Dec 31
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      Replying to @Plinz @s_r_constantin

      Pattern matching and prediction has proved sufficient for creativity, but not understanding. I think reflection and *integration* (unification) are the sort of things needed for understanding. Yes, meaning is given by integrating ideas into a global model

      1 reply 0 retweets 1 like
    9. Marc‏ @zarzuelazen Dec 31
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      Replying to @zarzuelazen @Plinz @s_r_constantin

      I really doubt that you can squeeze the round peg of 'understanding' into the square hole of probability theory. Need some sort of extension to probability theory? For understanding, we're not *predicting*, we're *unifying* (integrating)

      1 reply 0 retweets 1 like
    10. Marc‏ @zarzuelazen Dec 31
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      Replying to @zarzuelazen @Plinz @s_r_constantin

      Marc Retweeted John Carlos Baez

      The answer could lie in a brief exchange I had with @johncarlosbaez a while back. I lean towards an extension of probability theory based on some notion of *possibility* rather than *probability*. See here:https://twitter.com/johncarlosbaez/status/1054125666176688128 …

      Marc added,

      John Carlos Baez @johncarlosbaez
      Replying to @zarzuelazen @36zimmer and 2 others
      There's a branch of math called "possibility theory", analogous to probability theory but with probabilities replaced by number 0 (impossible) and 1 (possible): https://en.wikipedia.org/wiki/Possibility_theory … This is less analogous to numbers vs. sets, more analogous to numbers vs. truth values.
      2 replies 0 retweets 0 likes
      Joscha Bach‏ @Plinz Dec 31
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      Replying to @zarzuelazen @s_r_constantin @johncarlosbaez

      I have a short discussion of that here https://youtu.be/e3K5UxWRRuY  (roughly 27:15)

      8:06 PM - 31 Dec 2019
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      0 replies 0 retweets 1 like

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