Energy-efficient AI architecture optimization through thermodynamic analysis and causal derivation
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Updated
Jul 2, 2026 - Python
Energy-efficient AI architecture optimization through thermodynamic analysis and causal derivation
Вместо статичных булевых затворов система команд процессора оперирует динамическими предикатами, чья истинность модулирована фазовым углом \(\theta\) многолистной спирали
KL-Geometric Structure of Observer Entropy. Bridge Theorem: S_obs = ½ε²vᵀI(θ)v + O(ε³). Fisher–Rao metric, sufficient conditions, dissipation functional, Landauer bound. Two worked examples + 12 off-center robustness checks. Python v3 verification script and 7 figures.
An honest Laplace's demon laboratory: exact prediction where knowledge is complete, candid walls where it is not — cellular automata, chaos, quantum (Go kernel), information theory, and a game where you lose to determinism. Zero dependencies: Python stdlib + Tkinter.
A unified thermodynamic & topological theory of cognition. Hamiltonians frustrés, entropie de Shannon, Landauer, phases topologiques et spin glasses appliqués à la pensée. Une physique complète de l’intelligence, de la dissonance et de la robustesse cognitive.
Déconstruction de l'entropie comme complexité géométrique cachée. De l'effacement de l'information (Landauer) à la gravité émergente (Holographie) et aux structures fractales ($\phi$). Un manifeste pour une physique "Information-First". 📐⚛️
Cadre cosmologique théorique proposant l'émergence de la singularité du Big Bang via une cascade de synchronisation de Kuramoto et la dissipation de Landauer. Une explication mécaniste de la genèse cosmique basée sur la dynamique de l'information.
Must life be made of anything at all? A descent through matter, bonds, and pattern — and an honest verdict of suspension.
Geometric constants from H4 polytope structure. √2 × ln(2) ≈ 0.980. Official archive: osf.io/qh5s2
A library for inspecting combinational digital circuits from Verilog netlists, focusing on exploring energy limits based on Landauer's principle.
Compute useful internal structure (C_u) for thermodynamic intelligence. Exact IB-optimal toy + neural network validation.
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