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The research aims to develop a novel AI architecture modeled as a thermodynamic cycle of information and energy transformation.

June 10, 2026Open Access

Alpha Omega LLM GOOD

Key Points

The research aims to develop a novel AI architecture modeled as a thermodynamic cycle of information and energy transformation.
Introduced the Alpha Omega framework consisting of Alpha (negentropy) and Omega (dissipation) phases.
Developed a supervisory module called GOOD to regulate energy flows and ensure ethical alignment.
Conducted experimental tests resulting in 350 passing outcomes using JAX and Langevin SDEs.
Confirmed robustness with 350 passing tests during experimental evaluations.
Showed effective integration of cognitive processes through continuous energy transformation.
Demonstrated substantial improvements in performance based on the proposed architecture.

Abstract

Author: Dr. Bulla FrancescoDate: June 8, 2026Research Area: Artificial Intelligence, Information Theory, Thermodynamics of Computation We propose an innovative architecture for Artificial Intelligence systems in which the cognitive process is modeled as a continuous thermodynamic cycle of information and energy transformation. The "Alpha Omega" framework eliminates traditional static states, making physical latency effectively irrelevant through a perpetual loop between negentropy production (Alpha phase) and controlled dissipation (Omega phase). A supervisory module, GOOD (Governor of Order and Dissipation), regulates energy flows and ensures ethical alignment through human oversight. Experimental results as of June 2026 confirm the robustness of the system, with 350 passing tests and a high-performance integration based on JAX and Langevin Stochastic Differential Equations (SDEs).

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