this post was submitted on 20 Jul 2023
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Over just a few months, ChatGPT went from correctly answering a simple math problem 98% of the time to just 2%, study finds. Researchers found wild fluctuations—called drift—in the technology’s abi...::ChatGPT went from answering a simple math correctly 98% of the time to just 2%, over the course of a few months.

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[–] RufusLoacker@feddit.it 2 points 1 year ago (2 children)

Why are people using a language model for math problems?

[–] gratux@lemmy.blahaj.zone 0 points 1 year ago (1 children)

It was initially presented as the all-problem-solver, mainly by the media. And tbf, it was decently competent in certain fields.

[–] MeanEYE@lemmy.world 1 points 1 year ago

Problem was it was presented as problem solved which it never was, it was problem solution presenter. It can't come up with a solution, only come up with something that looks like a solution based on what input data had. Ask it to invert sort something and goes nuts.

[–] Fixbeat@lemmy.ml 0 points 1 year ago (1 children)

Because it works, or at least it used to. Is there something more appropriate ?

[–] bassomitron@lemmy.world 1 points 1 year ago

I used Wolfram Alpha a lot in college (adult learner, but that was about ~4 years ago that I graduated, so no idea if it's still good). https://www.wolframalpha.com/

I would say that Wolfram appears to probably be a much more versatile math tool, but I also never used chatgpt for that use case, so I could be wrong.