SFL‑EAI‑07 Species Constancy Against Evolution vs. AI Impossibility of Self‑Evolution

Based on the complete multi-dimensional unified framework of SFL-EAI-01 to 06, this paper proposes the Fixed Boundary Non-Evolution Principle, realizing isomorphic unification of biological species stability and artificial intelligence system development limits. With the series unified state equation: G = G₀ + ΔG_d(+) − ΔG_d(−) and dissipation constraint: ε(T) = o(1/T) we prove that all stable complex systems are strictly bounded by their immutable initial architecture G₀. No system can independently rewrite the core G₀ to cross essential category boundaries: biological species are permanently confined by inherent genetic frameworks; artificial intelligence can only optimize parameters within the original algorithm and hardware framework, and cannot autonomously reconstruct core architecture to generate completely new intelligence types. All observable changes are intra-framework adaptation rather than qualitative structural leaps. This principle corrects two mainstream misconceptions: transboundary biological evolution and AI self-evolution singularity, and confirms fixed category boundaries as an indispensable universal stability condition for all complex systems.