Open Access Journal of Applied Science and Technology(OAJAST)

Department of Family Medicine, Dong-eui Medical Center, Yangjeong-ro, Busanjin-gu, Busan, Republic of, Korea

Publications

• Research Article   
  Topological Relaxation of Spin-Network Spacetime as the Physical Basis for Emergent Computational Depth in Large-Scale AI Reasoning
  Author(s): Chur Chin*
  
  Background: The accelerating expansion of the universe and the progressive deepening of reasoning in large-scale AI systems share a profound structural analogy: the gradual relaxation of topologically complex configurations toward lower-energy states. Methods/Hypothesis: Within the Loop Quantum Gravity (LQG) framework , we model dark energy as the topological elastic energy stored in spin-network knots, stabilized by gauge boson confinement [1-3]. We map this onto layer-by- layer energy dissipation in transformer-based LLMs via Decaying Topological Attention (DTA): A(l) = Softmax(QKT/√d − γh·l), with γ = 0.001 governing both cosmological stability and AI reasoning depth [9,14]. Results: The energy density ρ_Λ(t) = ρ0·exp[−(Γ_unknotting + β)t] rep.. Read More»
  

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