Two excerpts follow about driverless cars. The first is swooning review of a Mercedes robocar from Alex Davies of Wired, the second, from Google X’s Astro Teller at Backchannel, examines the more mundane problems of making autonomous a reality.

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From Davies:

There will come a time, within a few decades, when people simply will not drive anymore. This is a hard truth for automakers like Mercedes-Benz and Audi to acknowledge, given the time and money they spend portraying their cars as fun to drive. So they serve every shot of “Your car will drive itself!” with a chaser of “But you can always drive your car if you want to!” This will make sense as the transition to autonomous cars begins: You’ll take the wheel of your SL-Class when driving through the winding hills, it’ll take over on your boring commute.

But the day is coming when we won’t even do that. That explains why the steering wheel in the F 015 is largely vestigal.

I didn’t get behind the wheel of the F 015, and I had no desire to: It isn’t a car anyone would ever want to drive. For one thing, it’s huge. No amount of torque from the electric motors Mercedes happened to slap into this thing will ever make it an exhilarating performer. It’s also somewhat cumbersome; that epic wheelbase does nothing for its agility (Hutzenlaub says Mercedes would consider giving the car four-wheel steering if it ever considered production.)

But all of that is moot. As I nestled deeper into the leather seats, the idea of leaving the touch screens alone and taking the wheel seemed genuinely stupid. After all, you don’t leave first class to sit in the cockpit.

The F 015 one of the most thrilling cars I’ve ever seen. And I don’t want to drive it.•

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From Teller:

One of our projects is focused on building a fully self-driving car. If the technology could be made so that a car could drive all the places a person can drive with greater safety than when people drive in those same places, there are over a million lives a year that could be saved worldwide. Plus there’s over a trillion dollars of wasted time per year we could collectively get back if we didn’t have to pay attention while the car took us from one place to another.

When we started, we couldn’t make a list of the 10,000 things we’d have to do to make a car drive itself. We knew the top 100 things, of course. But pretty good, pretty safe, most of the time isn’t good enough. We had to go out and just find a way to learn what should be on that list of 10,000 things. We had to see what all of the unusual real world situations our cars would face were. There is a real sense in which the making of that list, the gathering of that data, is fully half of what is hard about solving the self driving car problem.

A few months ago, for example, our self-driving car encountered an unusual sight in the middle of a suburban side street. It was a woman in an electric wheelchair wielding a broom and working to shoo a duck out of the middle of the road. You can see in this picture what our car could see. I’m happy to say, by the way that while this was a surprising moment for the safety drivers in the car and for the car itself I imagine, the car did the right thing. It came autonomously to a stop, waited until the woman had shoo’d the duck off the road and left the street herself and then the car moved down the street again. That definitely wasn’t on any list of things we thought we’d have to teach a car to handle! But now, when we produce a new version of our software, before that software ends up on our actual cars, it has to prove itself in tens of thousands of situations just like this in our simulator, but using real world data. We show the new software moments like this and say “and what would you do now?” Then, if the software fails to make a good choice, we can fail in simulation rather than in the physical world. In this way, what one car learns or is challenged by in the real world can be transferred to all the other cars and to all future versions of the software we’ll make so we only have to learn each lesson once and every rider we have forever after can get the benefit from that one learning moment.•