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.
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?
Yeah, I imagine inserting one backdoor will be a hell of a lot easier than detecting and One of a great many potential back doors that could be there and removing it.
