about the simplest possible linear model that you want to get working but in principle you can aggregate context using neural networks right like we have really powerful neural networks for context aggregation like continents or transformers or LST amps so why not actually try to put this all together use the contrast loss that were to accuse is to predict the neighbors in a nonparametric softmax but try to replace all these embeddings of individual words and surrounding words with very powerful expression you know networks so that