not generating valid things but they kind of can handle this they really have this flexibility of kind of you know feeling exciting from an unsupervised learning perspective you give them some data distribution of like Python programs or something and you just have a you know train over that and then you get something that looks like it's really drawn from that distribution so we kind of like talking out through like a lot of the early work here and although there was one example with the Thomas pickle off paper of Thomas paper