Another uh interesting thing that um is changing in base models now is that you is this whole advent of mid-training, uh which is exposing the model to the distribution that it would see during post-training in RL and at a longer context, so for things like agentic traces to be allowed into the mix and uh to kind of help prepare the model that way. Um a lot of models though are training with much longer context in pre-training and there's no reason that these data sets can't be pulled back into the mix to allow for more stable representations from the very beginning.