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

submitted 3 months ago by [email protected] to c/[email protected]

114 comments fedilink hide all child comments

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] 1 points 3 months ago* (last edited 3 months ago) (3 children)

...how is it incapable of something it is actively doing? What do you think happens in your brain when you lie?

[–] [email protected] 7 points 3 months ago

What do you believe that it is actively doing?

Again, it is very cool and incredibly good math that provides the next word in the chain that most likely matches what came before it. They do not think. Even models that deliberate are essentially just self-reinforcing the internal math with what is basically a second LLM to keep the first on-task, because that appears to help distribute the probabilities better.

I will not answer the brain question until LLMs have brains also.

[–] [email protected] 7 points 3 months ago

The most amazing feat AI has performed so far is convincing laymen that they’re actually intelligent

[–] [email protected] 7 points 3 months ago

@Ulrich @ggppjj does it help to compare an image generator to an LLM? With AI art you can tell a computer produced it without "knowing" anything more than what other art of that type looks like. But if you look closer you can also see that it doesn't "know" a lot: extra fingers, hair made of cheese, whatever. LLMs do the same with words. They just calculate what words might realistically sit next to each other given the context of the prompt. It's plausible babble.