The article discusses the phenomenon that shorter tokens in language models tend to have a higher likelihood of being selected in various contexts. It explores the implications of this tendency for understanding how language processing works in computational models. Additionally, the author examines how the length of tokens can affect the efficiency and accuracy of these models.