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antirez
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antirez
@antirez
Reproducible bugs are candies. I like programming too much for not liking automatic programming.
Sicily, Italy
invece.org
Joined May 2007
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  • Pinned
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    antirez
    @antirez
    Nov 22, 2023
    My second short story release in English is ready: Tales of Illustrious Computer Scientists: Iola Varga, nun and computer scientist. invece.org/iola.html
    287K
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    antirez
    @antirez
    Aug 2
    I try to push this argument since 2023 btw. And even much earlier.
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    antirez
    @antirez
    Dec 16, 2023
    Replying to @fchollet
    That's undisputed, but the argument of the skepticals was a bit different: that even in the local space represented by the training set, LLMs could not interpolate on the realm of a deeply inferred representation, just on a shallow almost-already-seen one (parrot model).
    22K
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    antirez
    @antirez
    Aug 2
    It looks like I should merge the MXFP4 branch
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    mzba
    @LiMzba
    Aug 2
    Deepseek v4 flash 0731 running on M2 Ultra 192GB speed via @antirez's ds4 mxfp4, very usable, now we are pretty much token free.. will use it to try some interesting idea 🧙‍♂️
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    25K
  • user avatar
    antirez
    @antirez
    Aug 2
    The anti LLMs folks continuously interpolate their skeptical vision with the current AI progresses. They were doing the biggest public perpetual error in the history of science. I don't care about Marcus (I focus on ideas that interest me) but this happened with actual top AI
    user avatar
    Matt Shumer
    @mattshumer_
    Aug 1
    Gary Marcus is right that math ≠ all of science. But his bar just keeps moving: 2012: deep learning is "at best, only a small step toward the creation of truly intelligent machines" 2022: "deep learning is hitting a wall" months before ChatGPT 2023: fine, chatbots, but they
    37K
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    antirez
    @antirez
    Aug 1
    Realistic point of view.
    user avatar
    Ivan Fioravanti ᯅ
    @ivanfioravanti
    Aug 1
    So what's your feeling on DeepSeek V4 Flash 0731? Surely great model for Local AI and coding but clearly not at GLM 5.2 or Kimi K3 level. Obviously, because it's a different category. For Frogger I tried 3 times using omp, but I always get a game too complex to play or with
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    24K
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