interesting but they involve more more handcrafted details as to how you go about doing simultaneous loss optimizations where it's in several ways be training is small like just think it moral destroy it once and then use it everywhere so it's much more elegant that way so here is the final Pascal vo C numbers which is also a benchmark that people have cared about in in terms of transfer learning for self supervised learning there's always been this thing that some supervised learning will is only Garant considered to work if if the