that needs to be addressed so until that's address self supervised is not really worth doing for practical amused classification or practical like this lofty goals we started off with which is hey we just want to learn features from data with our labels is that you can get similar quality of features so this is clearly far away and that was the version that was the goal in in CPC version two to address that gap and this is a work I did during my internship at equine well with Ironman dinner where we basically took CPC