Darorad@lemmy.world 5 months ago
Why do people keep expecting a language model to be able to do literally everything. AI works best when it’s a model trained to solve a problem. You can’t just throw everything at a chatbot and expect it to have any sort of competence.
Because you can talk to it and it’s programmed to make you think it knows a lot and is capable of doing so much more.
People expect it to do more because chatgpt was trained to make people expect it to do more.
It’s all lies, of course. Chargpt fails at more than the simplest of tasks and can’t use any new information because the internet is full of ai generated text now, which is poison to training models. But it’s good at pretending.
The thing that really annoys me is the people who are most enamoured with Chat GPT also seem to be the ones least capable of judging its accuracy and actual output quality.
I write for a living; a newspaper. So naturally, some of the people in our company - sales people - wanted to test it. And they were delighted with the stuff it wrote. Which was terrible to read, factually incorrect, repetitive and just not something we’d put in the paper. But they loved it. Because they weren’t writers and don’t know how to write an engaging article with proper sources.
I tested it as well. Wanted to form my own opinion and read up on the limitations, how to write good prompts, etc. So I could guve it a fair chance.
I had it write a basic 500 word article about things to see in our city, with information about the tourist info office. That’s something a first year intern can do in his second week with us.
Basically, it ended up ‘inventing’ two museums that don’t exist, it listed info for a museum on the other side of the country, it listed an ‘Olympic stadium’ (we never hosted the Olympics) and it gave a completely wrong address for the tourist info, even though it should have it.
It was factually incorrect in just about every sentence. But it all sounded plausible enough and was written with such confidence that anyone not from this city might assume it to be true.
I don’t want that fucking thing anywhere NEAR my newspaper. The sales people are pretty much monkeys with Chat GPT-typewriters, churning out drivel instead of Shakespeare.
Sounds like the Gell-Mann Amnesia Effect. Except instead of a newspaper, you’re reading something not generated by humans.
You open the newspaper to an article on some subject you know well… You read the article and see the journalist has absolutely no understanding of either the facts or the issues. Often, the article is so wrong it actually presents the story backward… and then turn the page to national or international affairs, and read as if the rest of the newspaper was somehow more accurate about Palestine than the baloney you just read.
Like the newspaper, though, I would argue that generative AI is being presented as if it knows everything about everything already, or at least collective inertia implies it does.
the internet is full of ai generated text now, which is poison to training models. But it’s good at pretending.
This misconception shows up again and again. It’s wishful thinking from people who want to think AI researchers are idiots and AIs are going to kill themselves.
These models aren’t trained on “the internet”. They don’t just thoughtlessly rip everything that’s ever been posted every time they want to make an updated bot. The vast bulk of training data was scraped years ago, predating the current tide of generative muck, and additions are carefully curated to avoid the exact thing you’re talking about. A scrape of the 2018 internet is plenty, and will remain so for years and years.
Because Google’s med palm 2 is a medically trained chatbot that performs better than most med students, and some med professionals. Further training and refinement using new chatbot findings like mixture of experts and chain of thought are likely to improve results.
Exactly, med-palm 2 was specifically trained for being a medical chatbot, not general purpose like chatgpt
Train with the internet, get results like it is in Internet. Are medical content in Internet good? No, it is shit, so it will give shit results.
These are great base models, understanding larger context is always better for LLM, but specialization is needed for these kind of contexts.
Because when you use the SotA model and best practices in prompting it actually can do a lot of things really well, including diagnose medical cases:
We assessed the performance of the newly released AI GPT-4 in diagnosing complex medical case challenges and compared the success rate to that of medical-journal readers. GPT-4 correctly diagnosed 57% of cases, outperforming 99.98% of simulated human readers generated from online answers. We highlight the potential for AI to be a powerful supportive tool for diagnosis
The OP study isn’t using GPT-4. It’s using GPT-3.5, which is very dumb. So the finding is less “LLMs can’t diagnose pediatric cases” and more “we don’t know how to do meaningful research on LLMs in medicine.”
These articles may be more so about “it’s not for medical uses you fucking morons” and less so “WOAH WHO KNEW MAN”
Especially not now it has been nerfed to shit
xkforce@lemmy.world 5 months ago
The average person isn’t very smart. All they see is a magical black box that goes brr.
JaymesRS@literature.cafe 5 months ago
My wife is a physician and I’ve talked with her about this with regards to healthcare in general. Most people still think of healthcare like a visiting a wizard for a potion or somatic incantation.
So throw 2 black box-type problems at each other and have no doubt that a lot of people would be surprised that the results are crap.
TheGoldenGod@lemmy.world 5 months ago
Pretty much this.