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

  • ayyy@sh.itjust.works
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    1 hour ago

    “No we don’t need databases anymore, only blockchains.” —Nvidia CEO a few years ago

    • MangoCats@feddit.it
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      3 minutes ago

      And AI can help you migrate your database solutions to blockchain, utilizing 3000W worth of Nvidia co-processing power to validate your blockchain database that used to work on a 0.3W ARM processor.

    • 8oow3291d@feddit.dk
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      41 minutes ago

      The database was an arbitrary example. A more relevant example would be tenserflow layers in a neural network. As I understand it, you can in some cases get a novel solution to a problem just by choosing a smart enough combination, with the right data.

      ChatGPT absolutely knows how to help doing the grunt work setting up the tenserflow configuration, following your directions.

      • MangoCats@feddit.it
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        2 minutes ago

        you can in some cases get a novel solution to a problem just by choosing a smart enough combination, with the right data.

        Smart, lucky, who can tell the difference?

      • baahb@lemmy.dbzer0.com
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        12 minutes ago

        If you are capable of giving good directions…

        I’m probably not arguing with you, and I’m not trying to regardless. You seem like you have tried this, watched it happen, go “huh, neet!” And then get it to take the next step in whatever you were doing in the first place only to find out you didn’t provide adequate requirements for your config.

        • 8oow3291d@feddit.dk
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          7 minutes ago

          Well, yes, that is a central point.

          I am a senior programmer. LLMs are amazing - I know exactly what I want, and I can ask for it and review it. My productivity has gone up at least 3-fold, with no decrease in quality, by using LLMs responsibly.

          But it seems to me that some people on social media just can’t imagine using LLMs in this way. They just imagine that all LLM usage is vibe coding, using the output without understanding or review. Obviously you are very unlikely to create any fundamentally new solutions if you only use LLMs that way.