A technical discussion on Lobste.rs explores using gzip compression as a proxy for language modeling. By measuring how well a compressor predicts the next token, researchers can estimate perplexity without training a neural network. This approach provides a lightweight baseline for data entropy. It serves as a reminder that compression is fundamentally prediction.