The Dual-Inertia Constraint: Physical and Relational Mass as Natural Limits to Emergent Intelligence

This technical note introduces the Dual-Inertia Constraint, a proposed organizing principle that limits the rate at which coherence and synchronization can emerge in complex systems. The framework distinguishes between two complementary forms of inertia: physical mass, which constrains the rate of change of individual components, and relational mass, which constrains the rate at which distributed systems can integrate and synchronize through coupling and feedback. The interaction of these two inertial forms establishes intrinsic bounds on emergence dynamics across physical, biological, and artificial systems. In this view, increasing coupling can enhance eventual coherence while simultaneously introducing relational drag, producing a natural latency that limits how rapidly global order can form. Applied to artificial intelligence, the framework suggests that even highly advanced systems remain subject to coherence-rate constraints imposed by network structure, feedback depth, and synchronization cost.