negatives with our naxi using large batches because of its memory buffer and so when you add when you add these ideas so MLP had which is the G function aaaghh plus which is the Gaussian blur augmentation used in simpler and another detail that was used in sim clear was the cosine learning rate decay which moko didn't use if you add all these details then mokos accuracy linear classifier just arrests in 50 encoder improves all the way up to 71 point one percent that just which is which is two percent better than simply results and