this post was submitted on 18 Jun 2025
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Privacy
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What models have you tried? I used local Llama 3.1 to help me with university math.
It seemed capable of solving differential equations and doing LaPlace transform. It did some mistakes during the calculations, like a math professor in a hurry.
What I found best, was getting a solution from Llama, and validating each step using WolframAlpha.
Or, and hear me out on this, you could actually learn and understand it yourself! You know? The thing you go to university for?
What would you say if, say, it came to light that an engineer had outsourced the statical analysis of a bridge to some half baked autocomplete? I'd lose any trust in that bridge and respect for that engineer and would hope they're stripped of their title and held personally responsible.
These things currently are worse than useless, by sometimes being right. It gives people the wrong impression that you can actually rely on them.
Edit: just came across this MIT study regarding the cognitive impact of using LLMs: https://arxiv.org/abs/2506.08872
Now, I'm not saying you're wrong, but having AI explain a complicated subject in simple terms can be one of the best ways to learn. Sometimes the professor is just that bad and you need a helping hand.
Agreed on the numbers, though. Just use WolframAlpha.
Getting an explanation is one thing, getting a complete solution is another. Even if you then verify with a more suited tool. It's still not your solution and you didn't fully understand it.