But your definition of compression as prediction is tautological. How would you operationalize that into a measurable metric of compression?

The crucial idea is that once you do that and start optimizing for compression, at some point more compression on the training dataset can lead to worse predictions on the futures you care for. Which is very incompatible with the poster statement.