Note we're in a sub-thread about whether 'only data matters, not architecture', so I don't disagree that functionality or revenue are growing _in general_, but that's not we're talking about here.

The point is that core model architectures don't just keep scaling without modification. MoE, inference-time, RAG, etc. are all modifications that aren't 'just use more data to get better results'.