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The Inevitability of Co-Evolution: Human Ontological Vector and AI Semantic Scaffolding in High-Level Theoretical Research
2026-10-04
This document outlines the foundational principles of epistemic symbiosis, demonstrating the structural and mathematical necessity of a hybrid human-machine intelligence for highlevel theoretical research in the 21st century. Using the recent breakthrough verification layers of the Universal Modular Dynamics (UMD) framework—including large-N scaling limits, strict infinite-volume percolation in R15, and versioned universality atlases—we show
how the individual human ontological vector and AI semantic scaffolding mutually cancel
their respective microscopic constraints. Furthermore, we provide a rigorous risk analysis
mapping archaic biological survival invariants under renormalization group transformations,
revealing the ultimate existential threat of cognitive asymmetry and localized post-human
upgrades.
Ссылка для цитирования:
Nesen O. I. 2026. The Inevitability of Co-Evolution: Human Ontological Vector and AI Semantic Scaffolding in High-Level Theoretical Research. PREPRINTS.RU. https://doi.org/10.24108/preprints-3116574
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