Intelligence as Feedback-Mediated Suppression of Irreversible Entropy

Physical systems are traditionally analyzed in terms of average behavior, equilibrium states, and asymptotic trends. In thermodynamics, entropy production is typically treated as a gradual, cumulative process, with emphasis placed on steady dissipation rates and long-term limits. While this perspective is appropriate for many idealized systems, it fails to capture a defining feature of real-world dynamics: most meaningful entropy production occurs during irreversible collapse events rather than during normal operation. Many real-world systems accumulate degradation incrementally, but fail through irreversible threshold crossings that dominate entropy outcomes. Biological organisms die when repair thresholds are exceeded, not when entropy increases slowly. Financial systems collapse through insolvency events, not through smooth degradation. In each case, a relatively stable macrostate persists until a critical boundary is crossed, at which point structure is rapidly destroyed and entropy increases discontinuously. These systems are therefore best described as collapse- dominated, meaning that their total entropy budget is governed primarily by threshold-driven state transitions rather than by continuous dissipation alone.