least in my um estimation so before we look at that this here is a pretty pretty cool experiment where they they look at how the how the different tasks can be achieved if you give different policies so you'll have noticed that we have always given these two two tasks one zero and zero one these were our tasks that we trained on and then one z negative one is task we evaluated on okay and you might object and say wait a minute these these two tasks you know they're pretty good as let's say pre-training tasks