Generally, training an llm is a bad way to provide it with information. “In-context learning” is probably what you’re looking for. Basically just pasting relevant info and documents into your prompt.

You might try fine tuning an existing model on a large dataset of legalese, but then it’ll be more likely to generate responses that sound like legalese, which defeats the purpose

TL;DR Use in context learning to provide information to an LLM Use training and fine tuning to change how the language the llm generates sounds.

It def adds some flavor to the social media political scene

Looks like they got that number from this quote from another arstechnica article ”…OpenAI admitted that its AI Classifier was not "fully reliable," correctly identifying only 26 percent of AI-written text as "likely AI-written" and incorrectly labeling human-written works 9 percent of the time”

Seems like it mostly wasn’t confident enough to make a judgement, but 26% it correctly detected ai text and 9% incorrectly identified human text as ai text. It doesn’t tell us how often it labeled AI text as human text or how often it was just unsure.

EDIT: this article https://arstechnica.com/information-technology/2023/07/openai-discontinues-its-ai-writing-detector-due-to-low-rate-of-accuracy/

Yeah but capitalism also made reddit great, before making it terrible.

There’s a balance in there somewhere. What we got ain’t it tho.

According to the trump crowd, it’s not even over then.

But…. Isn’t most art made on computers nowadays?

Woah. Big 2010 Reddit vibes.

Haven’t seen an atheism meme in many years.

Alternate title: “Politician is campaigning”

Yeah but trumps lawyers are actually clowns.

Your DS? What’re you 30?

…cries in back pain

There’s a chip shortage. Most people just use web based apps, so stay on their phones / cheap laptops Enthusiasts usually just build their own machines. Everything is more expensive. The list goes on

4 years ago was like an eternity in internet time. Those were pre pandemic times.