• MiddleAgesModem@lemmy.world
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      42 minutes ago

      Spoken like someone who hasn’t used them. They can be wrong and require care and thought when being used but calling them “bullshit machines” is just lazy and inaccurate.

    • Kacarott@aussie.zone
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      9 hours ago

      There are genuinely good use cases for them, just not what the hype machine has been driving

      • Iron Lynx@lemmy.world
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        8 hours ago

        This.

        Using Machine Learning to make more reliable cancer diagnosis tools? Based and GOATed.

        Using LLM’s to replace your customer service department? Deserving of a high five, in the face, with a rake.

        • MiddleAgesModem@lemmy.world
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          40 minutes ago

          Agreed on the customer service department but I don’t mind them replacing automated phone systems and making those painful experiences better. They’re not replacing any jobs in that case.

    • Blaster M@lemmy.world
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      19 hours ago

      Depends on what. LLMs, sure, but AI models, called neural networks before, have been in use in a lot of physics simulations for a long time. At its base, it’s a huge number cruncher. How you crunch the numbers makes rhe difference.

      • bennypr0fane@discuss.tchncs.de
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        59 minutes ago

        Indeed, I meant mostly LLMs, but also image generating AIs. I don’t know of they have much in common in the way they work, but what is commonly described as generative AI. They are responsible for A) the hype and B) the horrible bullshit, mayhem and destruction being visited on the world ever since their spread.