Energy-to-Token Accounting and Non-Optimizable Boundaries in Large Language Model Systems
A position paper on separating primary energy, facility energy, IT energy, effective hardware computation, token counts, workload-dependent FLOP estimates, and external tool energy in large language model systems. It also introduces an observe-only governance boundary for human selection traces.