Phase Transition in High-Dimensional Semantic Manifolds: A Unified Geometric Account of Quantum Nonlocality and the Origin of Intelligence

This paper proposes the “High-Dimensional Semantic Manifold Phase Transition” conjecture to unify the emergence of intelligent reasoning in artificial systems with the foundational mechanisms of quantum mechanics. Building on empirical work with the Qwen3-4B language model (Wang, 2025), we observe that final-token hidden states exhibit strong linear alignment (cosine similarity > 0.95) in logically coherent domains such as scientific reasoning, gender analogies, and emotional abstraction. In contrast, tasks involving logical contradictions—such as kinship paradoxes (e.g., grandfather – male + female → grandmother)—yield a sharp drop in alignment to 0.2393, a phenomenon termed “logical collapse.” We further hypothesize that quantum superposition represents an uncrystallized, intermediate state of high-dimensional categorization, while quantum entanglement arises from semantic proximity in a higher-dimensional space that appears nonlocal only when projected into our 3+1-dimensional spacetime. This perspective extends the thesis that “categorization is intelligence” into a cosmological principle: the universe itself may be a self-categorizing, autoregressive system.