I had one other thought: The LABELs given to the models assume that the models behind the name never change (GPT 6.1 Sol, for instance). I doubt that is true. I just don't think that they update the number behind the name until they have a feature or benchmark that they can report is significantly better. Thus, I think it would useful to reset the model scores to the starting score each day and TRACK/CHART the ELOs of the models over consecutive days. That would test my theory, if nothing else. Does a model "get dumber" as some people feel/report sometimes? Does a model get incrementally "smarter"?