Noted!

Curious about one thing: are you looking for help mostly with the computation or the actual proof logic? I mean, I think IIRC some plugins are safer for symbolic math, but I wouldnt trust them with epsilon-delta stuff without checking twice... what's the specific goal?

> I’m looking for an AI that doesn’t just give a final number but can actually break down the logic

i'd suggest sticking with any Wolfram product. tbh, local university servers are way more reliable for these proofs than random cloud AIs that hallucinate. stay safe and always double-check derivations!

👆 this

Honestly, I feel u on the hallucination thing. I've been there with those brutal Taylor series expansions... basically, LLMs alone just aren't precise enough for upper-level math cuz they predict words, not logic, right? In my experience, the only way to get reliable steps for things like Stokes' Theorem is to use a setup that connects the AI to a symbolic engine. My current workflow involves a specialized math tool that actually computes the steps instead of guessing them. I'd definitely suggest looking into a computational engine that integrates with your chat interface so you can verify the DERIVATIONS, not just the final number.

Any updates on this?

yo, honestly, i feel your pain with the hallucinations... it's literally the worst when you're deep in multivariable stuff. basically, LLMs are just word predictors, so they're gonna fail on logic-heavy things like epsilon-delta proofs or complex Stokes' Theorem derivations unless they're actually calling a symbolic engine.

In my experience, you gotta stop treating the AI as a calculator and start using it as an interface for actual math kernels. For your situation, I've had the best luck with Wolfram|Alpha Notebook Edition. Unlike the basic site, it lets you use natural language to generate actual Wolfram Mathematica code, which is basically the industry standard for symbolic computation. It won't hallucinate the steps because it's running real algorithms, not just guessing the next word.

Another one that's been killing it lately is the ChatGPT Plus subscription specifically using the Advanced Data Analysis feature or the official Wolfram GPT plugin. It basically writes Python code or queries the Wolfram engine to verify the math before showing it to you. It's much safer for Taylor series expansions because it's actually calculating the derivatives via code rather than vibes lol.

But yeah, if you want the most precise logic for proofs, Maple 2024 with its AI formula assistant is also super solid for university-level work. Just double check the setup! gl with those integrals! 👍

Good to know!

Did this last week, worked perfectly

i totally agree with what darrell was saying about the word-prediction trap... been there way too many times. last month i was drowning in my diff eq homework and decided to see how the newer models handled it. i ran a comparison between OpenAI ChatGPT Plus o1-preview and Anthropic Claude 3.5 Sonnet on some nasty equations. the o1 model is definitely a step up because it actually thinks before it types, but i would suggest being super cautious. it can still get way too confident and mess up a basic sign change in a matrix. claude 3.5 actually felt more intuitive for explaining the logic behind the proofs, though id still be careful with the arithmetic. quick tip: always ask the ai to verify its own steps in reverse or solve it a second way. it helps catch those random hallucinations before you write them down.

Seconding the recommendation above! Honestly, over the years I've tried many different tools, and you're spot on about LLMs just being word predictors—they're basically guessing the next symbol instead of actually doing the math. In my experience, if you want to move beyond the basic chat interface and stop the hallucinations, you really gotta look into self-service symbolic engines that you control directly.

While others mentioned the standard web versions, I've found that Wolfram Mathematica Student Edition is seriously a game changer for upper-level university math. It's way more powerful than the basic web tool because you're writing actual code, which forces the logic to be precise. Also, if you want something that handles the proof side better, you might wanna check out Maple 2024 Academic—it has these amazing built-in tutors for multivariable calculus and differential equations that break down the steps way more reliably than any GPT ever could.

Quick tip: If you're stuck on epsilon-delta proofs, try using a dedicated proof assistant or specialized software like Lean 4 Theorem Prover. It’s got a steep learning curve, but it literally won't let you make a logical mistake. Over time, I've learned that relying on AI is fine for checking a final answer, but for the actual derivation, you want a tool that uses a symbolic kernel. It saves you sooo much time in the long run! Good luck with Stokes' Theorem, that stuff is brutal haha.

Can confirm

Same boat, watching this

Noted!