@typesafeai has shown with Jev that most people use LLMs as a universal interface despite that, sometimes, the underlying problem has a narrower structure
and that somebody can create a new (and constrained!) model to solve that problem in a much better way than relying on LLMs
so then the next obvious question is:
what other problems are LLMs solving that can be better served by a new or different model architecture that unlocks more capabilities due to speed/accuracy/cost improvements?