Broadly. All AI models are bad at math. By math I mean mathematical reasoning, not arithmetic. (It’s already well-known they’re bad at arithmetic unsupplemented.)
Actually – they’re pretty good at math as far as a typical undergrad goes. But they still make a lot of mistakes; 40% of the time is not an unreasonable estimate, depending on use case.
If you want an AI to be an expert, you should only feed it data from experts. But these are trained on so much more. So much garbage.
This is not correct. Even if trained on purely peer-reviewed and published math papers, it will still make math errors.
Which one?
which of what category?
I’m confused. Are you saying all AI models are bad at math, or one in particular? You’re speaking broadly, so I assume the former.
Broadly. All AI models are bad at math. By math I mean mathematical reasoning, not arithmetic. (It’s already well-known they’re bad at arithmetic unsupplemented.)
Actually – they’re pretty good at math as far as a typical undergrad goes. But they still make a lot of mistakes; 40% of the time is not an unreasonable estimate, depending on use case.