math.NT — Number Theory
Linnik's constant is at most
Let denote the least prime congruent to modulo , where . We give a computer-assisted proof that , improving the exponent of Xylouris. More precisely, for every sufficiently large , uniformly in . The main new ingredient is a graded near-density estimate for zeros of Dirichlet -functions, a weighted form of Heath-Brown's Lemma~12.1 of the kind he asked for in 1992. We combine it with the zero-location estimates and far-density method of Heath-Brown and Xylouris. The second novelty is the scale of the case analysis. Heath-Brown and Xylouris closed their final case analyses with and main cases, each by a chain of inequalities evaluated in floating point. In this paper, with the help of advanced AI models, we can push this much further. The middle range of the first zero is divided into root cases and terminal cases, each closed by its own linear program. On threshold boxes these programs give linear relaxations, and exact integer certificates for all of them bound the normalized zero sum strictly below~. Exceptional zeros and the remaining exterior range are treated separately. This case analysis is a kind of systematic brute force enabled by AI: an analysis of this size, with parameters tuned to each case, would be very laborious or nearly impossible to carry out by hand, and it lets the new estimate be applied separately in each case. The near-density lemma, certificate soundness, and a conditional passage from a certified case to a prime are formalized in Lean, assuming published analytic inputs and specified facts about zeros (PALOMAR-2026-10-01-000020 v1).