nx_motion_neural.nx

nx_motion_neural.nx -- the NEURAL-MOTION FOUNDATION (S6, MotionGPT/T2M-GPT thesis "motion as language", sovereign + no 491MB LLM load): a motion is discretized into TOKENS by a codebook LEARNED from data (vector quantization = k-means, the exact VQ-VAE quantizer), and a learned token-TRANSITION model GENERATES novel motion-token sequences. This is real learning-from-data (not the parametric keyword->recipe of nx_movelib): the codebook is trained (Lloyd iterations reduce distortion) and the generator composes sequences it was never given whole. Integer fx (rad4096 joint angles) => deterministic, VM-vettable. The token-LM here is an n-gram (the bootstrap); the transformer/our-Qwen over these tokens is the deeper rung. license_tier: ORIGINAL