It's not that you want it to be faster, but you want the latency to be predictable and reliable, which is much more the case for local inference than sending it away over a network (and especially to the current set of frontier model providers who don't exactly have standout reliability numbers).
> which is much more the case for local inference than sending it away over a network
Of course, but that isn't what unclear here.
What's unclear is why a 7b LLM model would be better for those things than say a 14b model, as the difference will be minuscule, yet parent somehow made the claim they make more sense for verification because somehow latency is more important than accuracy.