His point is that "evolution by selection" also includes that transformers are easy to implement with modern linear algebra libraries and cheap to scale on current silicon, both of which are engineering details with no direct relationship to their innate efficacy at learning (though indirectly it means you scale up the training data for more inefficient learning).