in farming, michelle. and presumably, unlike autonomous cars, an autonomous tractor is easier because there is less people, buildings, obstacles around. so by far and away we're on private land. we can geofence and tag every field so there's a boundary that it can't go outside of. so it is... safety is critical, but we're able to embed that in the design of the product and how it's used to to ensure that we don't have those sorts of issues. so we hit resume. i have to say, this is a mixture of incredible, but also at the same time underwhelming because literally with the press of a button, you've let me take control of a tractor. it's really exciting for us. and the ability to do this is it's extremely complicated because every decision that someone would be making the machine is having to make itself through sensors and perception systems. and machine learning is driving this. well, this is a first here at ces being able to actually drive this on—camera.