I don't think you are fully cognizant yet with the formidable scale of AI in the grander scheme of things, as an industry, which is nowadays comparable to transistors circa 1972 in terms of maturity. Long, long ways to go before we sit on "reference" anything. Whether architectures, protocols, models, test standards, it's a Far West as we speak.
You make excellent points in principle, which are important to keep in mind in guiding us all along the way, but now is not the time to set things in stone. More like the opposite.
The matter of the fact is that someone will eventually grab the old and new benchmarks, prove superiority in both, and by that point the new is the one to beat since it would be presumably error-free this time.