Under reviewMathematics & computer science3 min read

Ten results, ten different mathematical questions

A research release spanning geometry, groups, codes, and complexity.

OpenAI · Astra research team · mathematical communities

Where this stands

An unusually broad release of research claims and formal artifacts. Improved bounds, resolved conjectures, and community acceptance should be tracked separately.

Start with the question

The problem

These are separate research questions: how densely spheres pack, how large error-correcting codes can be, whether every group is sofic, and how difficult certain computations are, among others.

Before the news

Understand the mathematics

The established mathematics behind the story, step by step. What is new, and who claims it, follows below with sources.

Packings and codes

Several results concern how tightly objects fit. A binary code of length nn and minimum distance dd is a set of strings in {0,1}n\{0,1\}^n, any two of which differ in at least dd positions; such a code corrects up to t=⌊(d−1)/2⌋t = \lfloor (d-1)/2 \rfloor errors. Balls of radius tt around the code words cannot overlap, which gives the Hamming bound on the largest size A(n,d)A(n, d):

A(n,d)≤2n∑i=0t(ni).A(n, d) \le \frac{2^n}{\sum_{i=0}^{t} \binom{n}{i}}.

Spherical codes ask the same question for points on a sphere kept at least a given angle apart, and sphere packing asks it for balls in space. Improving a bound in these problems means either a better construction or a sharper proof that no configuration can do better.

Permanent versus determinant

The determinant and the permanent of an n×nn \times n matrix differ only in their signs:

det⁡A=∑σ∈Snsgn⁡(σ)∏i=1nai,σ(i),perm⁡A=∑σ∈Sn∏i=1nai,σ(i).\begin{aligned} \det A &= \sum_{\sigma \in S_n} \operatorname{sgn}(\sigma) \prod_{i=1}^{n} a_{i, \sigma(i)}, \\ \operatorname{perm} A &= \sum_{\sigma \in S_n} \prod_{i=1}^{n} a_{i, \sigma(i)}. \end{aligned}

Yet Gaussian elimination computes the determinant in polynomial time, while computing the permanent is #P-hard (Valiant, 1979). Arithmetic circuit complexity asks how many additions and multiplications a formula for the permanent needs; proving it needs many is an algebraic version of the P versus NP question.

Ramsey numbers

Colour every edge of the complete graph KnK_n with one of kk colours. The multicolour Ramsey number Rk(3)R_k(3) is the smallest nn for which a triangle with all three edges the same colour is unavoidable. For two colours R2(3)=6R_2(3) = 6, and for three colours R3(3)=17R_3(3) = 17. Beyond that only bounds are known: Rk(3)R_k(3) grows at least exponentially in kk and at most like e⋅k!e \cdot k!.

Sofic groups

A group GG is sofic if its multiplication can be imitated by permutations of finite sets: for every finite F⊆GF \subseteq G and ε>0\varepsilon > 0 there is a map ϕ:G→Sym⁡(n)\phi: G \to \operatorname{Sym}(n) that is almost multiplicative on FF and sends each g≠1g \neq 1 in FF to a permutation that moves almost every point. Many conjectures are known to hold for sofic groups, and whether every group is sofic was a long-standing open question. For each of the ten topics, the precise theorem is in the manuscript and its Lean module.

01

From an evaluation to a research collection

OpenAI attributes the arguments to an internal Astra model, with humans preparing manuscripts using the model and subsequent Lean formalizations. Its announcement presents the results as invitations for mathematical engagement. A shared release date should not be mistaken for a shared level of independent review. [1]

02

What is inside

The release covers sphere packing; binary and spherical codes; non-sofic groups; Connes rigidity; arithmetic circuits for the permanent; quantum parallel repetition; closest-vector approximation; Ehrhart’s volume conjecture; multicolor triangle Ramsey numbers; and compactness and degeneracy conjectures in extremal graph theory. [1][2]

03

Read one theorem at a time

The repository gives each result a named Lean module and provides comparator challenges. Its README distinguishes improved bounds from counterexamples and constructions. That map lets readers choose a subject, inspect the precise statement, and compare it with the manuscript instead of treating “ten proofs” as a verification status. [2]

Inspect the evidence

The Lean formalization

Ten public Lean modules and comparator challenges

The repository pins Lean 4.32.0 and supports building All or an individual module such as SpherePacking. Follow its own pinned instructions. We have inspected the repository documentation, not independently compiled or reviewed all ten arguments.

Sources & further reading

Reviewed 9 Sept 2026. X permalinks were recovered from indexed posts and linked discussions; direct X pages were not consistently accessible. They document the conversation, not proof correctness.

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    Levent Alpöge’s response to the release ↗X post

    Public reaction linked for context; the mathematical claims should be assessed from the manuscripts and formal statements.

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