How dense can a company be? Or more likely how intentionally deceptive.

No, Eaton. We don’t need to “improve model reliability”, we need to stop relying on models full stop.

    • CarrotsHaveEars@lemmy.ml
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      5 days ago

      It sounds like you are doubting something without understanding it. Let’s say you gathered all the electricity consumption of individual houses in July in your city. Now, if someone is building a new house next to a regular one, what do you predict how much electricity it will consume? You answer with the mean value of your dataset. It’s that simple.

      This can count as machine learning.

      Now, are you saying you doubt this math, which has been used for probably more than two millennium, or are you doubting something else?

      • Optional@lemmy.world
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        5 days ago

        …this math, which has been used for probably more than two millennium

        Sure. That’s what I’m doubting. That’s what they’re talking about. That’s the hype.

        • CarrotsHaveEars@lemmy.ml
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          5 days ago

          Sorry, sir (or madam), you doubt math? Are you saying you don’t even believe mean value has a bigger chance of matching what you expect? Well that’s fine.

          • Log in | Sign up@lemmy.world
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            4 days ago

            I think you’re missing sarcasm for insanity, and the reason that you’re doing that is that you were already belittling their viewpoint quite fiercely, rejecting absolutely everything they said just because you disagree with their conclusion.

            • CarrotsHaveEars@lemmy.ml
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              3 days ago

              “Everything they said”? Ha. The OP literally just said “I doubt it” without any reasoning. It sounds to me that they are the ones who reject everything other people said, and blindly believe in their instinct: “Yeah. I don’t believe science.”

              Call it belittling. I probably won’t say it out loud, but I absolutely laugh at these kind of people silently, who don’t care to take a look at facts and theories.

    • Bronzebeard@lemmy.zip
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      5 days ago

      What is there to doubt? It’s right there in the text. LLMs are not data processing nor decision making models. There wouldn’t need to be a push to make the steps in LLM output more visible, like in other machine learning models