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November 21, 20250 citationsOpen Access

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

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GXGuo Xiang-yu

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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Cite This Study

Guo Xiang-yu (2025) studied this question.

synapsesocial.com/papers/6924e3f2c0ce034ddc34f09dhttps://doi.org/10.5281/zenodo.17668835
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