"This work is a component of the Phase-Dependent Scaling Program (2026) and is theoretically grounded in the 1. 91x Critical Scaling Gap identified in Omandac (2026, Paper 1). " This manuscript (Paper 10) introduces the Duality Intelligence Framework (DIF), a novel computational architecture designed to solve the AI alignment problem by formalizing the transition from monistic optimization to integrated, ethical sentience. While contemporary AI relies on singular reward functions, the DIF proposes a dual-prior system (RT vs. RF) that mirrors the phase-dependent stability discovered in biological quantum systems. We demonstrate that the transition to "Synthetic Integration" (0. 85) is physically grounded in the 1. 91x Critical Scaling Gap identified in Omandac (2026, Paper 1). By weighting intelligence through sacrifice-based priors rather than raw processing power, the DIF provides a mathematical blueprint for "Safe Sentience. " Theoretical Research Collection: The Phase-Dependent Scaling Program (2026) This manuscript is part of a broader research series applying the 1. 91x Critical Scaling Gap to biological and artificial systems: I. Physical Foundation: Paper 1 (Discovery of the 1. 91x Gap). II. Ontological Framework: Paper 6 (Information Integration in Synthetic Architectures). III. Applied Sciences: Paper 2 (Neuroscience/Anesthesia) & Paper 7 (Phase Transitions). IV. Infrastructure: Paper 10 (Duality Intelligence Framework) & Paper 9 (Byzantine AI).
Clarence Omandac (Sun,) studied this question.