A theoretical proposal suggests human languages function as latent spaces designed for efficient information compression. This framework treats linguistic evolution as an optimization process for communication. Researchers argue this perspective helps explain how LLMs map semantic relationships. Practitioners can use this lens to better understand tokenization efficiency and cross-lingual model alignment.