That's a very exotic take. Language (semantic embeddings) is a good mediator for a lot of tasks, which makes it easier for ML models to generalize. The intersection of old school ML and LLMs is a fascinating place, I've never seen it dismissed like that. Do you have any reading you'd recommend on the subject?