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AI outperforms law professors in Stanford Law study

law.stanford.edu

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Re: AI outperforms law professors in Stanford Law study

#381

Earlier quoted context omitted.

I think this is probably true for most skilled professions. AI is best used in the hands of folks already knowledgeable in the skills/professions they are using it for. I liken it to me googling things as a sysadmin vs. Jane from accounting doing it. The non-tech end user is far more likely to make the problem worse, or install something sketchy from the ad riddled results than I am, or one of my help desk employees…

> sysadmin Another domain where LLMs are very effective at confidently leading people down a messy path. I have a roommate using LLMs to guide him through setting up some ollama stuff in my WSL (I happen to have the half-decent GPU here) and after multiple rounds of the bot trying to get him to do things that were redundant if not in the wrong direction entirely (and vaguely insulting as a matter of course), I had to…

Yeah, the models are pretty unreliable for sysadmin type tasks. It also really highlights where the training data was lacking. Trying to use LLMs for PowerShell is an effort in frustration. Even opus constantly hallucinates cmdlets often enough to be borderline useless. Not sure if there was a lack of PowerShell in the training data, or its the Verb-Noun naming convention of the cmdlets that throw it off.

Re: AI outperforms law professors in Stanford Law study

#382

Earlier quoted context omitted.

It doesn't even need to 'improve' at the same rate to have extraordinary impact in society. Even if the frontier models stayed roughly the same in cost and capability for just 1-2 years, the harnesses and processes built around them would mature. We have not yet metabolized these models. Frankly, a lot of this feels like late 80s early 90s complaints about how office computerization wasn't happening yet--it was, just…

> I just wish people would take a step back and think about the timescales here. Language Models are Unsupervised Multitask Learners was in 2019. Here we are seven years later and LOOK AROUND. The landscape is unrecognizable. It's worth thinking about who, in those seven years, had an accurate estimate of the future and whose estimate fundamentally failed. And just as it is valuable to note where propaganda about pro…

Ok? The point isn’t that people can’t disagree it’s that “things will settle down to normal soon” is more a prayer than an argument.

Re: AI outperforms law professors in Stanford Law study

#383

I'm going to need some legal help for my startup. But I can't pay much. So I figured I will ask AI all relevant questions, as well as forms filled etc. Perhaps even create a patent-application for me. THEN I find a human lawyer and give AI's answers to them and say "Can you find any errors in this? Can you improve it?" . That way I think my legal bills should be smaller because the AI has already done most of the wor…

You are probably going to pay about the same. While you might find a lawyer who bills fewer hours, think about what would happen if you got a second legal opinion from another human lawyer. The second lawyer would still need to do essentially the same work. In fact, their ethics would likely require them to independently review the facts, documents, and legal issues before giving you advice. So even if AI gives you a…

I'm thinking of more simple cases, not like going to court for some reason, but make contracts and file all legal paperwork required. Ensure the company is compliant with whatever laws there are.

Re: AI outperforms law professors in Stanford Law study

#384

Earlier quoted context omitted.

Sure, but in two years AI has gone from “impressive tool, but not a replacement for knowledge workers” to “the study where it beats our highest caliber of knowledge workers may have some methodological deficits.” In another two years it’s going to be curtains.

The issue is, it almost always outperforms knowledge workers. IF the right questions are asked, and IF steered into and corrected at a few crucial points. IF not it goes off in the wrong direction really quick and that's a problem that's still mostly unsolved in the last 2 years. And that can be catastrophic in high risk environments, like legal, medical or high risk software products where being wrong in the wrong p…

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