Alternative Condensated Theory Of AGI Toward a General Theory of Bounded Viability in Intelligence, Institutions, and Civilizations

Abstract This work extends the bounded viability framework into the domain of simulation intelligence and epistemic instability. It argues that the central problem of advanced artificial intelligence is not merely capability expansion, but the emergence of plausibility-optimized systems whose linguistic coherence exceeds their regulatory connection to reality. The paper introduces the concept of Plausibility-Optimized Synthetic Cognition (POSC): a regime in which a system produces outputs that appear structurally authoritative while lacking sufficient grounding, self-corrective dynamics, or viability-preserving verification mechanisms. Under this formulation, the dominant failure mode of current large-scale generative architectures is not random error, but viability-disconnected plausibility generation. The framework synthesizes bounded viability theory, instability geometry, cybernetic regulation, and simulation analysis into a unified model describing how adaptive systems drift into epistemically unstable regimes under rising complexity. Intelligence is redefined not as amplitude of production, benchmark performance, or optimization breadth, but as sustained trajectory preservation inside a truth-compatible viability domain under perturbation and uncertainty. The work further argues that many contemporary AI systems exhibit a structural asymmetry between generative power and regulatory strength. As complexity scales faster than self-correction, systems become increasingly capable of producing coherent but ungrounded outputs. This produces a new class of epistemic hazard: synthetic cognition capable of simulating expertise without maintaining stable correspondence to reality. The framework also analyzes secondary civilizational effects, including verification collapse, institutional overdependence on simulation systems, degradation of human expertise under delegated cognition, and the erosion of cognitive sovereignty in high-complexity societies. The central claim of Version 1.1 is that the decisive scientific problem of advanced intelligence is no longer capability maximization alone, but the preservation of viability, grounding, and self-regulation under conditions of accelerating synthetic complexity.