A technical debate on Lobste.rs examines whether the gzip compression algorithm functions as a primitive language model. Participants argue that predicting the next byte for compression mirrors the token prediction of LLMs. This comparison highlights the fundamental link between data entropy and intelligence. It offers a stripped-down perspective for researchers studying predictive modeling.