Research18h ago
Research
Languages Viewed As Designed Latent Spaces
A theoretical proposal suggests human languages function as optimized latent spaces for compressing complex concepts. This framework treats linguistic evolution as a form of dimensionality reduction. If proven, it provides a new mathematical lens for LLM tokenization and semantic mapping. Practitioners can use this to refine how models encode abstract knowledge.