What question did this study set out to answer?

The aim is to explore the contradictions between AI's engineered efficiency and humanity's cognitive limitations.

August 2, 2026Open Access

PFUSRC-124 System Calibration and Cognitive-Layer Meta-Logical Demarcation: Cognitive-Layer Topological Locking and Civilizational Impedance — From Computational Efficiency to Emergence Dysfunction

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Dissects AI’s efficiency versus humanity’s cognitive distortions, highlighting topological challenges to civilization's cognition.

The aim is to explore the contradictions between AI's engineered efficiency and humanity's cognitive limitations.
Analyzed the PFUSRC axiomatic system without introducing new axioms.
Developed four core arguments addressing cognitive-layer topological issues in AI.
Discussed implications of linear cognitive structures on societal knowledge.
Proposed that eliminating computational slack blocks access to higher cognitive thresholds.
Identified fragmented cognition as a result of standardized education and societal influences.
Argued that civilization requires a shift from linear optimization to holistic cognitive development.

Zhenmin Wang (2026) studied this question.

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