Geometric Containment and Fluid-Cognitive Coherence: An Integrated Framework for AGI Governance and LLM Safety rev. 1.1 OPEN

AbstractThis paper presents an integrated theoretical framework combining Pool Theory (Rev2.1) and Geometric Containment (ESC 5.0) to address the governance challenges of Artificial General Intelligence (AGI) and Large Language Models (LLMs). We introduce a novel mathematical formalism based on stress tensor integration yielding the 0.752 coherence factor, resonance synchronization at 42.2 Hz, and strict boundary enforcement through Dirichlet/Neumann conditions. We demonstrate the practical application of this framework through a conceptual CLI extension with integrated coherence engineering modules, establishing a geometric foundation for safe human-AGI symbiosis. The framework provides falsifiable validation criteria, operational protocols for boundary governance, and a new paradigm for professional value in the post-AGI era. Keywords: AGI containment, geometric coherence, fluid dynamics, symbiotic intelligence, boundary governance, LLM safety