dailyai.report

A theoretical exploration posits that human languages function as optimized latent spaces for compressing information. This perspective treats linguistic evolution as a form of lossy compression. It suggests that LLMs are not just mimicking patterns but interacting with these pre-existing structural efficiencies. Practitioners can use this framework to better understand tokenization bottlenecks.