Beyond Tool Convergence: Why Intelligent Life Evolves Through Sensory Divergence, Not Technological Substitution

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Authors: Chen Ruotong
Cited by: 0

Abstract

CMEM Framework Collection Link This work presents a structural analysis of intelligent life evolution, arguing that long-term intelligence does not emerge through technological tool convergence, but through biological sensory divergence aligned with ecological conditions. Modern civilization assumes that external tools—such as artificial lighting, screens, and continuous energy supply—can indefinitely replace biological adaptation. This paper demonstrates that such substitution represents a temporary stabilization under energy surplus conditions (E ≥ G), where external energy interfaces overwhelm biological regulation capacity. While this enables short-term expansion, it suppresses sensory evolution and accumulates systemic biological debt. Using principles from evolutionary biology, sensory ecology, and systems theory, the study shows that genuine intelligence evolves through specialization and constraint, not universal augmentation. Civilizations that rely on technological substitution rather than sensory restructuring experience perceptual degradation, circadian collapse, cognitive overload, and demographic decline—not as social phenomena, but as biological feedback signals. The paper reframes industrial and post-industrial development as an evolutionary shortcut that delays adaptation rather than advancing it, and argues that sustainable intelligent civilizations must diverge biologically rather than converge technologically. This work is part of the CMEM (Civilization–Memory–Energy Model) framework and serves as a diagnostic analysis of civilization-scale evolutionary mismatch.

Fields of Study & Subjects

Space Science and Extraterrestrial Life Embodied and Extended Cognition Earth Systems and Cosmic Evolution

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN
Document type
Preprint