Thermodynamic Governance of Entropic Systems

This paper introduces a general framework for governing entropic systems across a broad range of disciplines, including macroeconomics, climate systems, artificial intelligence safety, and cognitive-social systems. The central insight is the discovery of a unifying equation that models system stabilization through oscillatory feedback, represented as: dG/dt = P / I
    where G denotes system performance or coherence over time, P is productive input (such as capital, energy, or cognitive load), and I is cumulative burden or drag on the system. This equation serves as the foundation of what I term 'Thermodynamic Governance' — a new scientific discipline aimed at designing feedback-controlled stabilization mechanisms for complex, entropy-prone systems.