This is not new knowledge and predates the current LLM fad.

See the Hutter prize which has had “machine learning” based compressors leading the ranking for some time: prize.hutter1.net

It’s important to note when applied to compressors, the model does produce a code (aka encoding) that exactly reproduces the input. But on a different input the same model is unlikely to produce an impressive compression.