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rhyncophorous's profile
R palmarum
R palmarum
R palmarum
@rhyncophorous

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R palmarum

@rhyncophorous

Los Angeles, CA
Joined May 2018

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    1. Gianni‏ @AngloRemnant May 29

      The amount of compute thrown at popular AI training runs has increased 300,000x since 2012. 1/5 the doubling time of Moore's Law.https://blog.openai.com/ai-and-compute/ 

      1 reply 1 retweet 9 likes
      Show this thread
    2. Gianni‏ @AngloRemnant May 29

      True it's not really a 'performance' outcome, but the fact that parties are willing to pile money into this kind of processing means something.

      2 replies 1 retweet 4 likes
      Show this thread
    3. tantum‏ @QuasLacrimas May 29
      Replying to @AngloRemnant

      Is there a clear-cut system for distinguishing between different orders-of-evaluation in training runs?

      1 reply 0 retweets 1 like
    4. tantum‏ @QuasLacrimas May 29
      Replying to @QuasLacrimas @AngloRemnant

      what i mean is that in eg theory of the firm you have fixed (extrinsic) costs, fixed operating costs, and per unit (marginal) costs

      1 reply 0 retweets 0 likes
    5. tantum‏ @QuasLacrimas May 29
      Replying to @QuasLacrimas @AngloRemnant

      likewise in using of computing power you have computing power X used to eg play a game of go... then you have compute Y used to generate heuristics used to play go at cost X... and Z to gen heuristic for heuristic-generation...

      1 reply 0 retweets 0 likes
    6. tantum‏ @QuasLacrimas May 29
      Replying to @QuasLacrimas @AngloRemnant

      so long as the challenge is just “can an AI do this task, ever?” it doesn’t matter that much but to make extrapolations about AI use from Moore’s Law you need the distinction

      1 reply 0 retweets 1 like
    7. Gianni‏ @AngloRemnant May 29
      Replying to @QuasLacrimas

      Yes, model archetecture still constrains the bounds. But within that picture of plot of X_training run size * Y_generalization error..

      1 reply 0 retweets 1 like
    8. Gianni‏ @AngloRemnant May 29
      Replying to @AngloRemnant @QuasLacrimas

      ..it's some kind of s-curve where the gains from X dont seem to be asymptoting. (I dont know enough about the field to say why)

      2 replies 0 retweets 1 like
      R palmarum‏ @rhyncophorous May 29
      Replying to @notaquatica @AngloRemnant @QuasLacrimas

      tantum needs to accept my follo i cant see this conversation

      7:05 AM - 29 May 2018
      2 replies 0 retweets 0 likes
        1. New conversation
        2. tantum‏ @QuasLacrimas May 29
          Replying to @rhyncophorous @AngloRemnant

          flattered by the conceit that my account is exclusive, but ftr if anyone says i won’t let them follow they are confused / twitter is screwing with them

          1 reply 0 retweets 0 likes
        3. tantum‏ @QuasLacrimas May 29
          Replying to @QuasLacrimas @AngloRemnant

          (or with me, which i guess amounts to the same thing)pic.twitter.com/LZp1ScMAWs

          0 replies 0 retweets 0 likes
        4. End of conversation

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