and he and two and this learns something that kind of lets us handle potentially the full distribution of of language while also having maybe the efficiency of representing semantic chunks like words instead of operating on these characters which might result in strings that are five or ten times or five times longer and require like much more compute and have much longer term dependencies that are difficult to handle then standard board models so if I clear encoding from recur Center is all over the place and is a very common