
nathan.rs
September 22, 2026
4 min read
64/100
Summary
A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, just counting. Fortuitously, I came across the paper Language Modeling is Compression, which mentioned the compression–prediction equivalence: every prediction model is inherently a compressor, and all compression algorithms are prediction mod...