but  but  but  uh , to orthogonalize them  but   but they were not , uh , processed through a neural net. And Stephane 's idea with that , as I recall , was that  you 'd have one part of the feature vector that was very discriminant and another part that wasn't ,
Mm - hmm.
uh , which would smooth things a bit for those occasions when , uh , the testing set was quite different than what you 'd trained your discriminant features for. So , um , all of that is  is , uh  still seems like a good idea. The thing is now we know some other constraints. We can't have unlimited amounts of latency. Uh , y you know , that 's still being debated by the  by people in Europe but ,  uh , no matter how they end up there , it 's not going to be unlimited amounts ,
Yeah.