A new theoretical framework proposes that human languages function as designed latent spaces for compressing information. This perspective treats linguistic evolution as an optimization process for communication efficiency. Researchers argue this mapping helps explain how LLMs internalize semantic structures. It offers a technical lens for improving tokenization and embedding strategies.