Ontological Truth as an Imperative for Evolution and Survival: The CTMinfo Concept

Abstract

Ontological Truth as an Evolutionary Imperative: The CTMinfo Concept” presents a structural, engineering-level framework for solving the global crisis of informational uncertainty. Modern civilization relies on probabilistic data systems (Big Data, statistical AI, language-based models) that are fundamentally incompatible with the requirements of the physical world, where 99% accuracy produces 100% failure in critical processes. CTMinfo introduces a new paradigm based on 100% verified, ontologically structured, SmallData — a fully deterministic information substrate designed for engineering, manufacturing, construction, logistics, robotics, and any domain where physical precision is mandatory. The document outlines: - the crisis of probability as an existential challenge for humanity; - the limitations of language-based and statistical AI models that lack deterministic grounding in physical reality; - the need for a fundamental ontology built from first physical principles (matter, energy, interactions); - the CTMinfo methodology for eliminating ambiguity, duplication, corruption, and systemic friction in global information flows. Rooted in 30 years of real-sector engineering experience, CTMinfo demonstrates that SmallData scales faster and more reliably than Big Data, because it eliminates the noise and structural entropy that dominate conventional datasets. The paper argues that adopting 100% accurate ontological information systems is not merely a technical upgrade but an evolutionary requirement for preventing systemic collapse and enabling long-term survival of complex civilizations. This work is part of the global CTMinfo initiative — a new infrastructural model based on truth, structural clarity, and engineering determinism.