nx_lossless_language.nx

nx_lossless_language.nx -- building a LOSSLESS LANGUAGE to interface with generators (Z-Image, LTX video, music AI): a conditioning language where terms map to intent so precisely that "Diora Baird golfing as a video" generates EXACTLY that, net-new. Fidelity-to-spec is the DISTORTION signal; building the language is RATE-DISTORTION OPTIMIZATION of the conditioning -- the LOSSY-generation sibling of our Kolmogorov/Levin governor (lossless shortest-description). The closed loop the SYSTEM runs (not the human hunting LoRAs by hand): spec -> generate -> MEASURE fidelity-to-spec (nx_image_fidelity / a semantic scorer) -> REFINE the language (better term / caption / identity embedding / control / LoRA) -> repeat until distortion falls below the Council floor = the language is LOSSLESS for that intent. This module models that convergence: given the fidelity attained at each refinement step, it finds WHEN the language became lossless and at what RATE (how much refinement it cost) -- the rate-distortion curve of the language. Each refinement should not regress (a sound search). license_tier: ORIGINAL Refs: Shannon rate-distortion; the precision-measurement loop.