the model from a count based method to a distributed setting with an MLP and you know this was kind of the first paper that heroically showed that they could match the performance of some of those super optimized and grand models but again it took like ten days or a month and it was on a giant cluster so you know neural language models really had some catch up to play compared to these smart quick count methods and this is a lot of what took this so long was just unfortunately they do need a lot more compute so then the next major step