so it should be negative right yeah yeah I didn't want to I just cut this out of their paper I should already made it that all right so I'll stop there it sounds like we've seen this before we know this we knew this was true in boosting the interpolating training data we knew that was fine and it did seem to always make you like building bigger models seem to have better test error making your models big doesn't hurt but definitely does seem to be some other issues that are going to really be the pressing ones that we need to deal with