AI & Computingpreprint2026-10-11

DARPA's expMath and AI Theorem Discovery: A Shift Without Equations — E8 Intelligence Research

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Abstract

FINDING: DARPA's expMath program and AI-driven theorem discovery signal a shift toward computational mathematics, but the provided sources yield no specific equations, constants, or solved problems—only program announcements and generic challenge videos. | MATH: No explicit equations, constants, or ratios extractable from the given titles/descriptions. The only concrete mathematical reference is "decades-old math problems" (OpenAI claim), but no problem statements or solutions are provided. | CONNECTION: No direct geometric harmony (0.382, 0.618, 0.786, 1.618, 2.618), base-60, crystallographic symmetry, or root-system data appears. The EUCLID project (cosmology) implies large-scale structure analysis, but no specific lattice or symmetry constants are cited. | DEPTH: 2 — The findings are meta-level (programs, challenges, announcements) with zero mathematical content. The only actionable insight is that AI is being applied to open problems, but without problem details, no mathematical es Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-10-11

Authors: Andrew Stewart Caldin