Jensen Huang says Nvidia engineers should use AI tokens worth half their annual salary every year to be fully productive — compares not using AI to using paper and pencil for designing chips
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You're not productive if you don't use a lot of AI.

You’re not productive if you don’t use a lot of AI, says guy who makes all of his money selling AI hardware

  • REDACTED@infosec.pubEnglish
    211·
    2 months ago

    Something I don’t understand - AI coding is mostly useful in common code, snippets, easy stuff. What Nvidia is doing (drivers, optimization, chip design, etc.) is something I imagine there is close to zero AI training, so what can they realistically even use it for so much?

    • givesomefucks@lemmy.worldEnglish
      12·
      2 months ago

      so what can they realistically even use it for so much?

      Burn money on AI tokens so it looks like AI could be profitable some day so people keep investing in AI companies that can then buy Nvidia chips…

      You’re thinking of it like “how can AI make a better product”

      They’re looking at it as “how can we sell more chips”

      Two very different questions with very different answers.

      It’s a house of cards and Nvidia can’t afford to acknowledge no one wants AI or knows how to make it profitable.

    • frongt@lemmy.zipEnglish
      2·
      2 months ago

      There’s plenty of driver code available. All of Linux and BSD, plus whatever internal stuff they have. Optimization is pretty generic.

      Chip design maybe not, but I imagine you can train an AI on the principles and generate a bunch of candidates, then benchmark them in simulation.