Research7h ago
Research
Comparing Gzip Compression To Language Modeling
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 is fundamentally similar to token prediction in LLMs. This theoretical exercise highlights the link between data compression and intelligence. It offers a lean perspective on how models learn patterns.