instead to reward effective representations we're outperforming very well-engineered very tuned state-of-the-art systems that were like squeezing as much performance as they could add award vectors and they're getting you know quite large numbers here where you see you know 10 20 % relative or sorry yet relative error improvements and importantly they kind of have that clean sweep of very many different tasks like question-answering entailments coreference ner so even classical tests like you know part of speech recognition like and you know