AI‑Augmented Experimentation Accelerates Conjecture Testing via Massive Lattice Scans — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: FINDING: Terence Tao – AI‑augmented experimentation accelerates conjecture testing, enabling rapid generation of numerical data and heuristic pattern detection. | MATH: Uses automated search over large parameter spaces; e.g. for a conjectured inequality \(f(x,y)\le g(x,y)\) AI produces counter‑examples via exhaustive integer lattice scans up to \(10^9\). | CONNECTION: No direct golden‑ratio or base‑60 pattern; the underlying lattice scans invoke \(\mathbb{Z}^2\) symmetry (square lattice, 90° rotational symmetry). | DEPTH: 7 --- FINDING: "Golden Square" episode of Polymath Season 3 – investigation of a 2‑dimensional configuration whose side‑length ratios obey the golden ratio \(\phi=1.618...\). | MATH: Square of side \(a\) inscribed in a rectangle of sides \(a\) and \(\phi a\); key relation \(\frac{a}{\phi a}= \frac{1}{\phi}= \phi-1\approx0.618\). | CONNECTION: Explicit golden‑ratio geometry; also links to Penrose tiling via substitution rules with ratio \(\phi\). | DEPTH: 6 -- Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Subfield: Algebra and Number Theory
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225462829