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GPT-6-Astra: infinitely pairs of consecutive primes with distance at most 186

OpenAI released a Lean 4 formalization, GPT-6-Astra, proving that infinitely many pairs of consecutive primes are separated by at most 186, but the proof is conditional on three explicit axioms not yet verified in Lean. The project, named PrimeGaps186, includes a Python certificate that recomputes the numerical bounds, and the Lean build passed without errors, though it does not discharge the axioms.

read2 min views1 publishedSep 3, 2026
GPT-6-Astra: infinitely pairs of consecutive primes with distance at most 186
Image: Michielbdejong (auto-discovered)

This repository contains a Lean 4 formalization of a prime-gap bound and a Python numerical certificate. The Lean results remain conditional on three explicit input axioms; the cited mathematical estimates and numerical computations have not been turned into Lean proofs of those inputs.

For the sequence of primes

The development derives

The main declarations in PrimeGaps186.lean, in namespace PrimeGap186

, are:

Declaration Result
dhl_40_2
infinite_two_prime_translates_admissibleTuple
Infinitely many two-prime translates of the explicit tuple.
primeGapLiminf_le_186
The consecutive-prime gap bound.

For a prime

The axiom PrimeGap186.kloosterman3_bound

assumes the following bound for every prime

This follows from Deligne's theorem as stated in Nicholas M. Katz, Gauss Sums, Kloosterman Sums, and Monodromy Groups, Annals of Mathematics Studies 116, Princeton University Press (1988), Theorem 4.1.1(1)–(2), p. 49. With

The axiom PrimeGap186.kloosterman2_correlation_bound

assumes the following bound for every prime

This is Étienne Fouvry, Emmanuel Kowalski, and Philippe Michel, The Friedlander–Iwaniec character sum, 14 June 2013, Proposition 2, p. 1. Their normalized

These estimates are established in the cited literature, but remain unproved inputs in this Lean development.

PrimeGap186.physical_integral_bounds

assumes 104 outer and 45 inner physical-integral upper bounds, plus three cap bounds.

The Python certificate recomputes the trial from scratch. The tested environment used Python 3.12.13, NumPy 2.2.6, python-flint 0.9.0, and a custom FLINT 3.6.0 build with corrected signed polynomial convolution (not bundled).

python3 -B prime_gap_186_certificate.py --workers 4 --output prime_gap_186_fresh.json

Use a new output path. Keep PYTHONOPTIMIZE

unset and do not use -O

or -OO

. Mandatory floating-point and signed-convolution checks must pass. A successful run produces a receipt with passed: true

; it does not discharge any Lean axiom.

The project pins Lean 4.34.0-rc2 and its Mathlib dependencies. With elan installed, run:

lake exe cache get
lake build PrimeGaps186

The registered Lean build passed without errors or warnings. Comparator matched all three results to Challenge.lean

, and Nanoda and Lean’s kernel accepted their proofs in a local Colima Linux VM. The configuration permits the three documented project axioms plus propext

, Quot.sound

, and Classical.choice

(six total); this verifies conditional proofs, not the inputs themselves. The numerical certificate is unchanged from its earlier passing run.

Challenge.lean specifies the statements and input assumptions, with three intentional theorem placeholders. See the Comparator instructions and formalization metadata for the checking setup and status.

Project contributions use Apache 2.0; existing third-party notices remain applicable.

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