A new theoretical framework proposes that human languages function as designed latent spaces for compressing complex concepts. This perspective treats linguistic evolution as an optimization process for information retrieval. By mapping semantic structures to geometric spaces, researchers aim to improve how LLMs handle cross-lingual transfer. It offers a technical lens for understanding token efficiency.