be correlated because the path to them is the same partially so how you arrange the classes here is very important and there has been a lot of work in this but as I said this is rather a distraction right here hierarchical softmax is a way to solve this however they went with a different way right here they went with this approach called negative sampling negative sampling has been it's been very influential not only in word to vecna --get of sampling is one of the cornerstones of the current trend in self supervised learning in contrastive