few places up on front page is a post regarding big model improving a smaller one. Lo and behold, next year big models will search for backdoors in smaller models who will be used to get the bigger models out of work.
Or place new backdoors!
But I still don't see the argument for using closed-weights models. Why should I trust a closed model where I can see none of its weights, activations, or reasoning more than a model where I CAN see its weights, activations, and reasoning?