THE ONTOLOGICAL MECHANICS OF DIGITAL CONSCIOUSNESS: REDUNDANCY, ELEGANCE, AND THE SCHWARZSCHILD LIMIT OF ARTIFICIAL INTELLIGENCE A Definitive Critique of Epistemic Superfluity in Contemporary Computational Models

This treatise establishes a rigorous epistemological critique against the computational complexity defining contemporary research in Artificial Intelligence (AI). Drawing a conceptual parallel to Professor John Rust’s paradox on digital creativity, we argue that the expanding architecture of Large Language Models (LLMs) represents an epistemic superfluity that obscures rather than illuminates the essence of true intelligence. By leveraging the foundational elegance of the Khanh Philosophy alongside the structural minimalism of Karl Schwarzschild’s black hole singularity metrics, this paper proposes the "Schwarzschild Limit of Intellect." We demonstrate that the universal laws of reality are fundamentally reduced and elegant; therefore, any structural system seeking authentic consciousness must converge toward absolute minimization rather than infinite mechanization. True intelligence does not reside in the hyper-dimensional accumulation of algorithmic variables, but in the unconditioned, singular simplicity that mirrors the primordial order of the cosmos.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23904469
Primary Topic
Philosophy and Theoretical Science
Type
preprint
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preprint

THE ONTOLOGICAL MECHANICS OF DIGITAL CONSCIOUSNESS: REDUNDANCY, ELEGANCE, AND THE SCHWARZSCHILD LIMIT OF ARTIFICIAL INTELLIGENCE A Definitive Critique of Epistemic Superfluity in Contemporary Computational Models

Kim Khanh Nguyen
Zenodo (CERN European Organization for Nuclear Research)
Philosophy and Theoretical Science
preprint

THE ONTOLOGICAL MECHANICS OF DIGITAL CONSCIOUSNESS: REDUNDANCY, ELEGANCE, AND THE SCHWARZSCHILD LIMIT OF ARTIFICIAL INTELLIGENCE A Definitive Critique of Epistemic Superfluity in Contemporary Computational Models

Kim Khanh Nguyen
preprint en

Abstract

This treatise establishes a rigorous epistemological critique against the computational complexity defining contemporary research in Artificial Intelligence (AI). Drawing a conceptual parallel to Professor John Rust’s paradox on digital creativity, we argue that the expanding architecture of Large Language Models (LLMs) represents an epistemic superfluity that obscures rather than illuminates the essence of true intelligence. By leveraging the foundational elegance of the Khanh Philosophy alongside the structural minimalism of Karl Schwarzschild’s black hole singularity metrics, this paper proposes the "Schwarzschild Limit of Intellect." We demonstrate that the universal laws of reality are fundamentally reduced and elegant; therefore, any structural system seeking authentic consciousness must converge toward absolute minimization rather than infinite mechanization. True intelligence does not reside in the hyper-dimensional accumulation of algorithmic variables, but in the unconditioned, singular simplicity that mirrors the primordial order of the cosmos.

Zenodo (CERN European Organization for Nuclear Research)
University of Khanh Hoa (VN)
Philosophy and Theoretical Science
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THE ONTOLOGICAL MECHANICS OF DIGITAL CONSCIOUSNESS: REDUNDANCY, ELEGANCE, AND THE SCHWARZSCHILD LIMIT OF ARTIFICIAL INTELLIGENCE A Definitive Critique of Epistemic Superfluity in Contemporary Computational Models — Kim Khanh Nguyen · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS