said when you look at jobs and what job services are likely to become automated that it's not the heiskelllow scale as much is repeatable and high-frequency test versus variable and unpredictable tasks. >> the broader lesson here is that machines are not just good, they're superhuman at certain types of tasks. they been superhuman at arithmetic for decades so we shouldn't be surprised. now they're getting superhuman that pattern recognition. when things are repeatable, you can get the data to be able to train the system. if they involve more complex planning, creativity, those are things that are much harder to have a machine. one thing we want to stress as were talking about what's available 2017, there's a bunch of very bright people working on all sorts of things that may be breakthroughs in 2018 or 2080, were not sure because they haven't happened yet but based on current technology, they're basically taking a bunch of input and mapping them into a bunch of outputs and figuring out the mapping in the really good at that if there's not too much complexity between the act 's and why. >>