• ContrarianTrail@lemm.ee
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    3 months ago

    Dismissing something AI has ‘said’ not because of the content, but because it came from LLM is a choice any individual is free to make. However, that doesn’t serve as evidence against the validity of the content itself. To me, all the mental gymnastics about AI outputs being just meaningless nonsense or mere copying of others is a cop-out answer.

    • Feathercrown@lemmy.world
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      3 months ago

      Ok, but if you aren’t assuming it’s valid, there doesn’t need to be evidence of invalidity. If you’re demanding evidence of invalidity, you’re claiming it’s valid in the first place, which you said you aren’t doing. In short: there is no need to disprove something which was not proved in the first place. It was claimed without any evidence besides the LLM’s output, so it can be dismissed without any evidence. (For the record, I do think Google engages in monopolistic practices; I just disagree that the LLM’s claim that this is true, is a valid argument).

      To me, all the mental gymnastics about AI outputs being just meaningless nonsense or mere copying of others is a cop-out answer.

      How much do you know about how LLMs work? Their outputs aren’t nonsense or copying others directly; what they do is emulate the pattern of how we speak. This also results in them emulating the arguments that we make, and the opinions that we hold, etc., because we those are a part of what we say. But they aren’t reasoning. They don’t know they’re making an argument, and they frequently “make mistakes” in doing so. They will easily say something like… I don’t know, A=B, B=C, and D=E, so A=E, without realizing they’ve missed the critical step of C=D. It’s not a cop-out to say they’re unreliable; it’s reality.

      • ContrarianTrail@lemm.ee
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        3 months ago

        I get the concerns about the reliability of LLM generated content, and it’s true that LLMs can produce errors because they don’t actually understand what they’re saying. But this isn’t an issue unique to LLMs. Humans also make mistakes, are biased, and get things wrong.

        The main point I’m trying to make is that dismissing information just because it came from an LLM is still an ad hominem fallacy. It’s rejecting the content based on the source, not the merits of the argument itself. Whether the information comes from a human or an LLM, it should be judged on its content, not dismissed out of hand. The standard should be the same for any source: evaluate the validity of the information based on evidence and reasoning, not just where it came from.

        • Feathercrown@lemmy.world
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          3 months ago

          Ok, I get what you’re saying, but I really don’t know how to say this differently for the third time: that’s not what ad hominem means

          • ContrarianTrail@lemm.ee
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            3 months ago

            As a side note, I’d like to thank you for the polite, good-faith exchange. If more people adopted your conversational style, I’d definitely enjoy my time here a lot more.

            • Feathercrown@lemmy.world
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              3 months ago

              Ah, now I feel bad for getting a bit snippy there. You were polite and earnest as well. Thanks for the convo 🫡

          • ContrarianTrail@lemm.ee
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            3 months ago

            It’s a form of ad hominem fallacy. That’s atleast how I see it. I don’t know a better way to describe it. I guess we’ll just got to agree to disagree on that one.

            • Feathercrown@lemmy.world
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              3 months ago

              Ad hominem is when you attack the entity making a claim using something that’s not relevant to the claim itself. Pointing out that someone (general someone, not you) making a claim doesn’t have the right credentials to likely know enough about the subject, or doesn’t live in the area they’re talking about, or is an LLM, aren’t ad hominem, because those observations are relevant to the strength of their argument.

              I think the fallacy you’re looking for could best be described as an appeal to authority fallacy? But honestly I’m not entirely sure either. Anyways I think we covered everything… thanks for the debate :)