scale or contribute on both sides you know there's some gotcha as always with scaling you know things break when you at some point you can't extrapolate too far and things just change so you've got to watch out a bit for that you know for like a model like 2 PT 2 real on one of my collaborators was like we were originally trying to train these deeper bigger models and they just weren't working better and we had to fix an initialization technique and rearm came up with this and it helped you know continue scaling so when you see you're