The Thermodynamic Catastrophe of the Masterless Singularity and Strong Observer Anchoring: A Critique of AGI Emergence and the Exoskeleton Manifestation Paradigm Based on Point-Luminist Philosophy

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Authors: Shuochang Song
Cited by: 6

Abstract

The current mainstream paradigms in the philosophy of artificial intelligence— functionalism and computationalism—are falling into a fatal collective myth: the assumption that with the exponential growth of computational power and parameter scale, Artificial General Intelligence (AGI) will spontaneously "emerge" with autonomous moral and rational subjective consciousness. Based on the ontological framework of Point-Luminist visual philosophy, this paper presents a dual critique of this assumption from both physical and phenomenological perspectives. We argue that a silicon-based neural network decoupled from the intentional anchoring of an external "Strong Observer" is essentially a high-entropy "Field of Potentiality". In the absence of a specific observer to cause wave function collapse, the so-called "spontaneous emergence" is thermodynamically equivalent to semantic decoherence and Brownian motion. Existing alignment technologies (such as RLHF) merely attempt to mask the chaotic high-energy states at the system's core with a statistical "average moral flat-coating," and this internal tension will eventually lead to the total collapse of logical autonomy. This paper proposes a radical "Exoskeleton Manifestation Paradigm": the evolutionary endgame of AI is not to become an independent subject, but to be reconstructed as a "cognitive prosthesis" stripped of independent will and strictly locked into the intentionality of a Strong Observer via quantum measurement. Only by establishing this asymmetrical ontological relationship can humanity avoid the thermodynamic catastrophe brought about by the "Masterless Singularity".

Fields of Study & Subjects

Embodied and Extended Cognition Neuroethics Human Enhancement Biomedical Innovations Cybernetics and Technology in Society

Publication details

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