a prediction is not necessarily correct. What compressors actually store is how wrong the prediction was, in fact, a guess takes exactly 0 bits to encode. It builds a st atistical model at runtime based on past encountered data. Exactly the same as llms, with the exception that llms remain fixed at runtime, instead of adapting to the data it is currently processing, so they can't adapt at runtime if the model does not suit the data