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Judges Are Fed up With Lawyers Using AI That Hallucinate Court Cases (www.404media.co)

submitted 1 day ago by [email protected] to c/[email protected]

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But the explanation and Ramirez’s promise to educate himself on the use of AI wasn’t enough, and the judge chided him for not doing his research before filing. “It is abundantly clear that Mr. Ramirez did not make the requisite reasonable inquiry into the law. Had he expended even minimal effort to do so, he would have discovered that the AI-generated cases do not exist. That the AI-generated excerpts appeared valid to Mr. Ramirez does not relieve him of his duty to conduct a reasonable inquiry,” Judge Dinsmore continued, before recommending that Ramirez be sanctioned for $15,000.

Falling victim to this a year or more after the first guy made headlines for the same is just stupidity.

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[–] [email protected] 8 points 21 hours ago (1 children)

Technically it's not, because the LLM doesn't decide to do anything, it just generates an answer based on a mixture of the input and the training data, plus some randomness.

That said, I think it makes sense to say that it is lying if it can convince the user that it is lying through the text it generates.

[+] [email protected] -6 points 20 hours ago (2 children)

it just generates an answer based on a mixture of the input and the training data, plus some randomness.

And is that different from the way you make decisions, fundamentally?

[–] [email protected] 7 points 20 hours ago (1 children)

I don't think I run on AMD or Intel, so uh, yes.

[–] [email protected] -2 points 19 hours ago

I didn't say anything about either.

[–] [email protected] 6 points 20 hours ago* (last edited 20 hours ago)

Idk, that's still an area of active research. I versatile certainly think it's very different, since my understanding is that human thought is based on concepts instead of denoising noise or whatever it is LLMs do.

My understanding is that they're fundamentally different processes, but since we don't understand brains perfectly, maybe we happened on an accurate model. Probably not, but maybe.