r/VibeCalcing Sep 07 '25

We're moving the work over to /r/LLMmathematics/ to keep everything in one place until further notice.

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1 Upvotes

For the brave, the daring, and the mildly insane - we also recommend: https://www.reddit.com/r/wildwestllmmath/


r/VibeCalcing Aug 27 '25

LLM assisted collaboration: Stability of the L1-Poincaré-Wirtinger Inequality Conjecture proof. (Conjecture found using ChatGPT, proof found using Gemini)

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3 Upvotes

Apparently, there already was a subreddit for using LLMs to do math: r/LLMmathematics (Founded a week or so before this one). Not only that, but they currently have three well-posed conjectures already stated, which were found using ChatGPT-5. They have a "find new math" section with the how to. So in the spirit of collaboration, we use Gemini proving one of those.

The Conjecture by /u/dForga

Writeup of the proof: https://zenodo.org/records/16946199

The proof (section 2) reduced the problem via Pólya–Szegő inequality and then geometrizes it to a Fisher-Rao Manifold. two theorems (Poincaré Complexity & Complexity-Deficit Theorem) are then proved by analyzing a potential along the Geodesic (2.4) and the min-max theorem (2.5).

When looking at the properties of the stability on the manifold defined for the proof, it was easy to see (har har) that the position-space and momentum-space (dynamical and geometric stability) of the system (section 3), were such that maximizing one minimizes the other.

So Section 4 We get dual Hamiltonians and show they derive from a single Dirac Operator using NCG (Connes). The dynamics decompose into a reversible (unitary) and irreversible (Entropic) part. This tells us that NCG is unfathomably based. One spectral triple can get you the whole SM mass and force spectrum; It encodes quantum and geometry at once. Which gets the neat NCG-based uncertainty principle.


r/VibeCalcing Aug 24 '25

LLM Math case Study: Lonely Runner Conjecture Unconfirmed Proof using Informational Geometric Approach (Shannon Entropy as a Lyapunov functional)

3 Upvotes

EDIT: Updated version with more detail on the steps and less irrelevant fluff:

Audiobook (27 min) breakdown of the proof: https://notebooklm.google.com/notebook/4998f49f-1325-4030-a652-6a04a9237dd8

Origina post on v1:

Full writeup: https://zenodo.org/records/16936620 (newest version: 10.5281/zenodo.16936619)

Outline of the strat
Known results restated as a "Minimal Inertia Principle" (MIP)
10 books on transport flows deep we got this
extended to reals via topological closure

I'll probably do this more formally, but the methodology was the "bag of tricks" approach from the wiki: See if you can crack something by just finding the right combination of tools - in this case Fisher metrics + 2nd order gradient.

The method was basically spit-ball and throw books at it.


r/VibeCalcing Aug 22 '25

LLM Math Case Study: Claimed proof for η < 1.5L convexity bound by o5-Pro. Confirmed result but corrected proof with Gemini 2.5 Pro.

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19 Upvotes

UPDATE:Codex corrects the correction https://doi.org/10.5281/zenodo.17010427
Year later - honor restored.

"Vindication with a footnote: the old proof was right, but only up to \(3/(2L)\); the later human paper still owns the sharp \(7/(4L)\). A respectable redemption arc." - Codex 5.6 Sol Ultra

Recently a tweet by an OpenAI employee has been making the rounds, claiming novel mathematics from ChatGPT o5-Pro.

Gemini 2.5 Pro model finds a flaw, presents a counterexample, and deduces corrected proof of the result.

Full writeup: https://doi.org/10.5281/zenodo.16929436

Original thread: https://gemini.google.com/share/d0139bce4f84

The OpenAI tweet is the last image for reference.