but if the other day it's kind of this train test gap where you trained it with one distribution with mask inputs and then you want to test it and and and predict with it on a different one and it turns out though that gap actually looks to contribute to some performance issues the other gap is again it's only predicting 15% of tokens so it may also be learning slower than it could because he would have to F crop six times to see the same same predicted segment of data so when Elektra does is a very clever hybrid system so they have