• Zwuzelmaus@feddit.org
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    11 hours ago

    the AI makes its own claims that don’t appear in any linked source, and the operator has to answer for them. […] if it gains traction internationally, the fallout could hit not just Google but every AI provider

    And that is a good thing!

    We (the world) need at least some basic level of quality and truth in AI generated answers. FINALLY.

    • THB@lemmy.world
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      10 hours ago

      This appears to be impossible with current LLMs. You would need an actual human to verify every possible search result as the LLM is incapable of doing that for itself

      • [deleted]@piefed.world
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        7 hours ago

        Then LLMs are defective and should not be used as a replacement for web indexes or anything useful.

      • Zwuzelmaus@feddit.org
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        9 hours ago

        appears to be impossible with current LLMs

        Not the court’s problem.

        “Sorry, your honor, my weapon is that faulty so I can never know who it is who will be killed, but I just had to shoot because that’s how I make my money…”

        • THB@lemmy.world
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          9 hours ago

          That’s my point, the problem is the LLM itself shouldn’t even be being used to begin with. I’m not defending AI bullshit by any means. I’m saying “truth” or “quality” are not qualities that an LLM will ever possess by its own nature. The ultimate solution for truth or quality is no LLMs, but I guess that ship has sailed.

          • Zwuzelmaus@feddit.org
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            9 hours ago

            Sometimes it does not even matter if it is truth or not.

            That may actually be such a case here: Factual statements that can create bad reputation for somebody (or some company).

            • JcbAzPx@lemmy.world
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              2 hours ago

              That cannot be libel in most jurisdictions. I’m pretty sure that’s not the case here.

      • benjirenji@slrpnk.net
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        7 hours ago

        You just need to be able to reduce the risk. They all operate like this. You can’t have complete certainty, even pre-LLMs. If the answers are wrong in only 0.001% cases and gravely wrong in 0.00001% cases it may be worth the risk. You gotta be able to sue for damages after all.