I'm certainly not resigned to that, at least for classification.

Even non-frontier models are absurdly good at this in a broad sense.

Which would make it hard to judge "a model that will never produce unreliable outputs in the first place" against something that is already really, really good and exceptional in domain-specific areas with the tiniest amount of elbow grease.

Speed and cost look good though (for now)!