MATH Dataset Quantifies AI Gap, No New Theorems Found — E8 Intelligence Research

FINDING: The search results are dominated by clickbait Olympiad algebra videos and the well-known Collatz Conjecture; the only substantive mathematical artifact is the MATH dataset (12,500 competition problems), which reveals no new theorem but quantifies the gap between human competition problem-solving and current AI/ML capability. | MATH: No novel equations or constants extracted. The Collatz Conjecture is the iterative map: \( f(n) = n/2 \) if \( n \) even, \( f(n) = 3n+1 \) if \( n \) odd; unsolved for all \( n ∈ N \). The MATH dataset provides no intrinsic constants—only problem distributions across 7 subjects (algebra, counting, geometry, etc.) with difficulty tiers. | CONNECTION: None found. No occurrence of 0.382, 0.618, 0.786, 1.618, 2.618, base-60, or crystallographic symmetries in the raw findings. The Collatz map has no known harmonic or lattice structure—its dynamics are chaotic and non-periodic in known regimes. | DEPTH: 1/10 — The findings are pedagogically t Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com