What question did this study set out to answer?

To examine the structural failure of closed-loop AI and advocate for open systems to sustain intelligence.

November 21, 2025Open Access

The Entropy of Closed-Loop AI: Why Sustainable Intelligence Demands Open Systems

Key Points

To examine the structural failure of closed-loop AI and advocate for open systems to sustain intelligence.
Analysis of closed-loop AI systems and their failure modes.
Examination of thermodynamics, information theory, and frame theory.
Discussion of human cognition as an open system and its necessity for sustainability.
Closed-loop AI accumulates entropy and loses informational fidelity.
Models that are closed systems experience distributional collapse and error amplification.
Proposed principles for sustainable intelligence include negative-entropy ingestion and human presence.

Abstract

Description The Entropy of Closed-Loop AI: Why Sustainable Intelligence Demands Open SystemsCivilization Physics — Entropy Integrity preserves truth and structure.Presence × Integrity = a stable Frame capable of resisting entropy. The whitepaper concludes that the future of reliable, powerful AI lies not in sealed autonomous AGI, but in open, human-anchored systems that continuously exchange information with reality. Sustainable intelligence depends on remaining open—a structural law, not a preference. Keywords: Closed-Loop AI · Entropy · Information Inbreeding · Model Collapse · Frame Theory · Presence × Integrity · Negative Entropy · Open-System Design · Semantic Drift · Human-in-the-Loop · Sustainable AI · Civilization Physics

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Guo Xiang-yu

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The Entropy of Closed-Loop AI: Why Sustainable Intelligence Demands Open Systems

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