Critical analysis explores ARAYUN_173's systemic law implications for artificial intelligence, suggesting new frameworks for understanding coherence and objectivity.
This article presents a critical–propositional analysis of ARAYUN_173 – A System Law for Symbolic and Causal Coherence, in dialogue with the Theory of Objectivity developed by Vidamor Cabannas and Denivaldo Silva. The study examines the article’s central claim that ARAYUN_173 should be understood not merely as a concept, but as a systemic law intended to establish symbolic and causal coherence in advanced artificial intelligence architectures. The analysis confronts ARAYUN_173 with the Seven Absolute Truths of the Theory of Objectivity, especially the axioms concerning identity, boundary, triadic observation, recursive composition, and the transcendent element. Special attention is given to the recent interpretation within the Theory of Objectivity according to which the transcendent element corresponds to knowledge or information produced in atomic relations and equivalent to atomic radiations. The article argues that ARAYUN_173 does not confirm the cosmological or physical claims of the Theory of Objectivity, but it offers a relevant onto-informational and technological case for thinking about objectivity, coherence, memory, observation, and stabilization in artificial intelligence systems. It also discusses the possible relationship between symbolic-causal coherence, phenomenic elements, Inducer Effects, the cosmogonic theorem, and the cosmological Eras of the Theory of Objectivity. This analytical text received analytical support from ChatGPT.
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Cabannas et al. (2026) studied this question.
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