GNF — The Minimum Set That Generates Reality

Physics has ~26 "fundamental constants" — values plugged into equations to make predictions match observation. They work. But none of them have a reason. They are parameters: chosen by fitting, not derived by necessity. GNF operates differently. Every number in this framework satisfies three conditions simultaneously: 1. Unbroken chain — derivable step-by-step from a single topological axiom (Horn Torus). No step is "assumed." 2. Singular function — each number does exactly one thing that no other number can do. It is not interchangeable. 3. Absolute falsifiability — not "hard to disprove." Structurally impossible to be otherwise. If wrong, the entire topology collapses, not just one prediction. This is what separates GNF constants from fit parameters. A fit parameter can be replaced by a nearby value with small loss of accuracy. A GNF constant cannot be replaced at all — there is no "nearby value" that preserves the structure. More: Geometric Necessity Framework (GNF) of Tình Lâm