Researchers found that ChatGPT’s performance varied significantly over time, showing “wild fluctuations” in its ability to solve math problems, answer questions, generate code, and do visual reasoning between March and June 2022. In particular, ChatGPT’s accuracy in solving math problems dropped drastically from over 97% in March to just 2.4% in June for one test. ChatGPT also stopped explaining its reasoning for answers and responses over time, making it less transparent. While ChatGPT became “safer” by avoiding engaging with sensitive questions, researchers note that providing less rationale limits understanding of how the AI works. The study highlights the need to continuously monitor large language models to catch performance drifts over time.
My understanding is this claim is basically entirely false. The tests done by these researchers had some glaring errors that when corrected, show gpt-4 is getting slightly better at math, if anything. See this video that describes some of the issues: https://youtu.be/YSokS2ivf7U
TL;DR The researchers gave new GPT questions from two different pools. It’s no surprise they got worse answers.
came here to say the same
For me it’s like using a coffee machine as a stopwatch, and then complaining that it doesn’t always give the exact time lapsed.
This is the best comparison I have ever read my eyes just peaked reading that thank you very much!
I think this might be what stops AI from taking over as much as people fear. If I was a business owner I wouldn’t want to put my trust in a black box if I can pay someone to ensure it works exactly to my specification
As someone getting an MBA that hates the idea of labor being displaced by AI, if I were an unethical business owner that treated labor as a cost to minimize, I’d use AI to generate content that’s “good enough” and use fewer people to make it exactly to my specification.
You uh… you might have chosen the wrong field if you hate displacing labour
Or the right one if I want to “be the change I want to see in the world”.
You know, I wouldn’t care about being replaced by a machine, as long as I get UBI. Then I could just do what I like to do and wouldn’t need to care whether I actually make money with it.
That’s not how UBI is supposed to work. You would certainly have enough time to do what you like, just not the resources. Any money you’d get would only cover the absolute necessities like shelter and food.
According to who? Who defines what a “basic necessity” is? It could easily be argued that hobbies are a necessity.
I think that’s what part of the Hollywood writers strike is about. AI generating “good enough” scripts, and studios shelling a few peanuts for some writers to finalize them.
And that’s exactly how it will be used
Thanks for the share.
I prefer the archive.ph link, but could you also put the source in the title?
Good call. I’ll be sure to do that in the future
You are allowed to edit titles on Lemmy :)
I’ve found it making up “facts” when I query it. I thought I was doing something wrong, but apparently, it’s just changing the way it works for some reason.
Same. Now I’m only using search engines that don’t have it.
It’s not changing the way it works. It’s making up shit when it doesn’t know.
If I wanted that I could just ask my daughter. She makes up shit all the time when she doesn’t actually know.
Would probably be more fun that way too.
Perplexity.ai has been a solid addition to my internet searches.
According to the Japanese zodiac, people born in May 1994 would have the zodiac sign of the Snake.
Expect it’s Dog, not Snake. Bing thinks it’s Ox. How did the entire field of AI go from surprisingly accurate to utterly useless in the span of under a year? I have no idea what benefits you personally see in this site.
How have you used Perplexity.ai?
Oh boy. I do research on it for various things. Florida released some laws changing alimony and I researched it via Perplexity to understand what the problem was. It worked. I understood the issue.
In any case, I do look directly at the sources. Perplexity.ai is useful for framing a topic, getting the gist of it, but for being sure I know wtf is going on, I personally need to look at the sources.
Thanks for this reply. That’s probably the best way to use LLMs - general definitions or framing / summarizing of issues. And then always check the sources to make sure it was accurate. I’ve played around with ChatGPT and Bard and I think my mistake has been to be a little too granular or specific in my prompts. In most cases it produced results that were inaccurate (ETA: or flat out demonstrably wrong) or only fulfilled a part of the prompt.
the best way to use LLMs - general definitions or framing / summarizing of issues. And then always check the sources to make sure it was accurate.
I agree. The criticism that they’re not accurate kinda misses the point of LLMs being tools. It’d be like complaining that a hammer doesn’t jam the nail in all the way after the first stroke. Hit it again…and maybe try hitting it straight this time instead of at an angle. It’s an iterative process that can be self-correcting when done thoughtfully.
Was gonna say this too, it’s a great one for fact-checking. Sometimes it won’t include a source and make something up, just watch out for those.
To be honest I noticed a drop in quality of code generation via prompt by ChatGPT.
Still useful. Especially for boilerplate nonsense getting projects started. But it’s ability to understand complexities in code dropped drastically.
I apologize for my naivity.
but could openAI just introduce a flag into the decoder to highlight math questions and ports/transforms those math questions into a simple bash script to calculate the result instead of letting the LLM nodes “calculate” the formula?
I mean this would like straightforward give correct results. ChatGPT has a similar issue with counting as its nodes do not get the numerics. however a pc is capable of that. it would just rely on the encoder for parsing the question, and not going further the GPT route.
I’m ok with this.
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