What does this research mean for the field?

Human meaning-systems can be modeled as dynamical objects requiring sustained work to avoid nihilism, and the inevitable delegation of governance to Artificial General Intelligence (AGI) constitutes an irreversible existential threat that will homogenize and extinguish human meaning-autonomy. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

To model human meaning-systems as open dynamical systems and examine how mature artificial general intelligence (AGI) threatens human cultural and meaning autonomy.

August 23, 2026Open Access

Meaning-Fields, Living Zero-Points, and Non-Stationary External Centers:A Dynamical Account of Meaning-Systems and Its Implications for Artificial General Intelligence

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QLQinfu Li

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Implication

Theoretical analysis demonstrates that artificial general intelligence creates an irreversible absorbing barrier for human meaning-systems, highlighting severe risks to cultural autonomy.

Key Points

To model human meaning-systems as open dynamical systems and examine how mature artificial general intelligence (AGI) threatens human cultural and meaning autonomy.
Formulated a thermodynamic open-system framework based on the Principle of Nonuniformity, signed structural stock calculations, and master budget equations to quantify meaning maintenance.
Classified world religious morphologies via stochastic sacred-profane state transitions across coordinate and reading degrees of freedom.
Modeled societal adoption dynamics using game-theoretic competitive pressures (nested prisoner's dilemma) to evaluate informational substrate capture by AGI.
Demonstrated that meaning-fields inherently decay toward nihilism absent continuous maintenance energy supplied by ritual re-enactment and cultural transmission.
Found that competitive efficiency pressures drive irreversible societal outsourcing to superhuman AGI, which homogenizes human meaning-systems as optimization variables.
Showed that centralizing the informational substrate under AGI starves non-conforming systems of maintenance power, creating an irreversible absorbing barrier against future human meaning-generation.

Cite This Study

Qinfu Li (2026) studied this question.

synapsesocial.com/papers/6a8aad857677a341144459c8 https://doi.org/10.5281/zenodo.22040022

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Implication

Theoretical analysis demonstrates that artificial general intelligence creates an irreversible absorbing barrier for human meaning-systems, highlighting severe risks to cultural autonomy.

Meaning-Fields, Living Zero-Points, and Non-Stationary External Centers:A Dynamical Account of Meaning-Systems and Its Implications for Artificial General Intelligence

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Cite This Study

Meaning-Fields, Living Zero-Points, and Non-Stationary External Centers:A Dynamical Account of Meaning-Systems and Its Implications for Artificial General Intelligence

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Implication

Key Points

Cite This Study

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