The alternative approach is to start with a small[er] model, but derive reliable uncertainty estimates, only moving to a larger model if necessary (i.e., if the probability of the predictions is lower than needed for the task).
And I agree that the leaderboards don't currently reflect the quantities of interest typically needed in practice.
And I agree that the leaderboards don't currently reflect the quantities of interest typically needed in practice.