Independent Researcher
AI Epistemology | Political Theology of Technology | Computational Complexity | Cognitive Neuropsychology
My work operates at the intersection of theoretical computer science, epistemology, and systematic theology. I investigate the structural mechanics governing synthetic information—from the computational hardness of SAT solvers to the semiotic capture of sacred language in generative systems.
Key focus areas include:
- AI Epistemology & Political Theology: Deconstructing synthetic narrative generation. Investigating the "Confabulation Framework" in LLMs and the "Mimetic Architecture" of religious deception through weaponized divine invocation.
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Theoretical Computer Science: Empirical phase-transition threshold analysis, SAT solver mechanics, and computational hardness within the
$P$ vs$NP$ paradigm. -
Analytic Number Theory: Numerical verification and spectral properties of the Riemann zeta function
$\zeta(s)$ .
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The Borrowed Name: Counterfeit Sanctity, Artificial Intelligence, and the Architecture of the Final Deception
Status: Deployment Phase / Peer Review
Repository: SocArXive (OSF)
Abstract: Proposes that the eschatological "Final Deception" functions via a weaponized mimesis of sacred language. Identifies Generative AI as the first historical apparatus capable of producing "religiously fluent counterfeit sanctity" at a planetary scale, decoupling the sound of the divine from ontological presence. -
The Confabulation Engine: Why Artificial Intelligence Doesn't Lie — It Confabulates
Status: Under peer review at Ethics and Information Technology (Springer Nature)
Preprint: PsyArXiv (OSF)
Abstract: Frames LLM outputs through Gazzaniga’s left-hemisphere interpreter theory, separating synthetic confabulation from human moral deception.
A constructive theological and political critique of AI. Features the full manuscript, a structural table of technological-scriptural analogues, and a proposed "Pneumatological Epistemology" for the digital age.
Theoretical framework and architectural critique of generative AI outputs. Establishes formal criteria separating agency, mechanism, and epistemic conditions in synthetic speech.
🧮 PvsNP | 📐 RiemannHypothesis
Computational investigations into fundamental mathematical hardness and the distribution of non-trivial zeros.
- Personal Site & Writings: sergiocayuqueo.com
- ORCID: 0009-0006-7867-8112
- LinkedIn: sergiocayuqueovi
- Contact:
sergiocayuqueo4@gmail.com



