The Entanglement Theorem: Universal Concept Coupling as a Geometric Consequence of High-Dimensional Encoding

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1. Verfasser: McEntire, Jeremy
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Veröffentlicht: Zenodo 2026
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author McEntire, Jeremy
author_facet McEntire, Jeremy
contents Proves that universal entanglement is a mathematical theorem, not an empirical observation. When k concepts are encoded in d>>k dimensions, concentration of measure ensures every direction carries all concepts with EI->c>1 as d/k->infinity. Three lemmas (concentration on sphere, JL preservation, PCA disentanglement) establish the proof. Four corollaries: superlinear amplification, concept-type independence, the specialist bound (compositional architecture as geometric necessity), and the alignment implication (surgical concept editing is geometrically limited). Positions against Mueller et al. (2025), Erogullari et al. (2025), and Liu et al. (2026).
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spellingShingle The Entanglement Theorem: Universal Concept Coupling as a Geometric Consequence of High-Dimensional Encoding
McEntire, Jeremy
entanglement theorem
concentration of measure
Johnson-Lindenstrauss
specialist bound
compositional architecture
AI alignment
concept editing
PCA
high-dimensional geometry
Proves that universal entanglement is a mathematical theorem, not an empirical observation. When k concepts are encoded in d>>k dimensions, concentration of measure ensures every direction carries all concepts with EI->c>1 as d/k->infinity. Three lemmas (concentration on sphere, JL preservation, PCA disentanglement) establish the proof. Four corollaries: superlinear amplification, concept-type independence, the specialist bound (compositional architecture as geometric necessity), and the alignment implication (surgical concept editing is geometrically limited). Positions against Mueller et al. (2025), Erogullari et al. (2025), and Liu et al. (2026).
title The Entanglement Theorem: Universal Concept Coupling as a Geometric Consequence of High-Dimensional Encoding
topic entanglement theorem
concentration of measure
Johnson-Lindenstrauss
specialist bound
compositional architecture
AI alignment
concept editing
PCA
high-dimensional geometry
url https://doi.org/10.5281/zenodo.18880971