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# Mathematical Experiments Are Becoming Abundant Through Human-Machine Teaming

**[Towards Data Science](https://daily.dev/sources/tds)** · 26 min read · 1 upvotes · 0 comments

## Summary

An author spent a weekend running parallel AI agents, exact-arithmetic checkers and the Lean proof assistant against two open math problems: constructing a Hadamard matrix of order 668, and a candidate proof bounding equilibria in Maxwell's electrostatics problem. The Hadamard search closed 44 regions of the search space and audited five nonexistence-proof routes without finding a solution or disproof. The Maxwell effort produced a full proof candidate with a machine-checked algebraic core in Lean, but the geometric bridges remain unformalized and unreviewed by specialists. The piece argues AI is making mathematical experimentation dramatically cheaper (echoing Jeff Dean's propose-implement-evaluate research loop), while proof validation, novelty-checking, and understanding remain expensive human bottlenecks. It surveys related developments (AlphaEvolve, OpenAI's Erdős unit-distance counterexample, Zahavy's induction/deduction/abduction framing) and closes on institutional concerns around attribution, credit, and the need for a searchable registry of claims and failed attempts as AI-generated math proliferates.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/mathematical-experiments-are-becoming-abundant-through-human-machine-teaming>

## Questions this post answers

### Has anyone found a Hadamard matrix of order 668 or proven it doesn't exist?

No, order 668 remains the smallest order for which existence is unknown. A weekend project using parallel AI agents, exact-arithmetic search, and constraint solvers closed 44 precisely defined regions of the search space and audited five standard nonexistence-proof routes (including Bruck-Ryser-Chowla and Hasse-Minkowski), but none supplied the missing obstruction and no matrix was found.

_Developers tracking open problems in computational math can follow these searches unfold on daily.dev._

### Has Maxwell's conjecture about equilibrium points of point charges been disproven?

Yes, a July 2026 paper by Arathoon, Ball, and Kvalheim constructed five point charges with at least 24 nondegenerate equilibria, disproving Maxwell's proposed formula of (k-1)squared for k charges. A separate July 2026 paper by Gabrielov, Novikov, Novikov, and Shapiro sharpened the bound for three positive charges from twelve to six nondegenerate equilibria for every positive Riesz exponent.

_daily.dev helps engineers and researchers keep up with fast-moving math and AI research like this._

### Can Lean fully verify an AI-generated mathematical proof candidate?

Not necessarily the whole argument. In one case, a partial Lean formalization completed successfully with 33 named theorems covering the central moment inequality and endpoint-gap algebra, but it did not formalize the barycentric correspondence, differential identities, global index, or compactness arguments, so Lean checked only the algebraic core rather than the complete theorem.

_Anyone evaluating AI-assisted proofs can track how far tools like Lean actually verify versus assume on daily.dev._

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