Here is the trailer for Udacity’s Intro to Self-Driving Cars Nanodegree Program. This is a program we built to prepare the whole world to work on autonomous vehicles.

If working with self-driving cars is something you’ve ever even thought about, you should check out the trailer.

Update: There is a Udacity student discount! Email me directly (david.silver@udacity.com) for the discount code.

Sign up now! Intersect, Udacity’s annual conference on lifelong learning, will be on Tuesday, March 27, at the Computer History Museum, in Mountain View, California.

Early bird tickets expire tomorrow!

I am so excited about this conference. Do recognize these four technology power players?

If not, checkout the Intersect Speakers.

And how about these four?

Seriously, if you don’t recognize any of these speakers, stop reading this post and visit the Intersect Speakers page to learn about how they are changing the world.

Did I mention Udacity always keeps a few big announcements up its sleeve for Intersect?

Plus I will be there! I’ll be talking about self-driving cars, and giving rides in Carla, Udacity’s own self-driving car. Have you ridden in self-driving car recently? Come ride in ours.

Get your ticket now so we can see you there 🙂

CNN has an amusing story about the difficulty of washing a self-driving car with hundreds of thousands of dollars of sensors bolted on the roof.

The story mainly hooks on Avis and the special cleaning techniques they have contracted to perform for Waymo’s self-driving cars. They have to be really careful!

“For example, soap residue or water spots could effectively “blind” an autonomous car. A traditional car wash’s heavy brushes could jar the vehicle’s sensors, disrupting their calibration and accuracy. Even worse, sensors, which can cost over $100,000, could be broken.

A self-driving vehicle’s exterior needs to be cleaned even more frequently than a typical car because the sensors must remain free of obstructions. Dirt, dead bugs, bird droppings or water spots can impact the vehicle’s ability to drive safely.”

Washing Carla, Udacity’s self-driving car, is less of a challenge, because we can pretty easily dismount the roof-based lidar and store it in the trunk. And our cameras are inside the vehicle.

Still, we take Carla to our local brushless carwash every month, and each time I get a little terrified.

How many people in the West even know what Geely is?

Perhaps in Europe, where the Chinese auto manufacturer also owns Volvo, a majority share of Lotus, and now a 10% share of Daimler (itself the parent of Mercedes-Benz).

CNBC reports that Geely Chairman Li Shufu purchased the stake in Daimler because:

“‘No current car industry player is likely to win this battle against the invaders from outside without friends. To achieve and assert technological leadership, one has to adapt a new way of thinking in terms of sharing and combining strength. My investment in Daimler reflects this vision,’ Li said.”

In case you’re not clear what that means:

“Only two or three manufactures will likely survive in the auto industry going forward, a source familiar with Li’s thinking told Reuters, prompting Geely to seek access to carmakers with a technological edge.”

The line between Li Shufu and Geely is a little fuzzy here, as CNBC reports that Li made the share purchases, but Geely now has access to Daimler’s technology.

It looks like there are a few things happening:

1. Geely wants access to Daimler’s battery technology, in advance of upcoming Chinese quotas for electric vehicles.
2. Geely’s ownership of Volvo has seemed to work out well, so it makes sense that they might continue their European expansion.
3. Perhaps Geely is hedging its bets by owning several different automotive manufacturers, on the theory that at least one will survive the transition to autonomous vehicles.

On the other hand, if Li really does believe only a few manufacturers will survive the next few decades, then it is surprising that he would make major acquisitions now, when automotive company valuations are at close to all-time highs.

One of the big worries about self-driving cars is the extent to which they will cause unemployment. Approximately 5 million Americans drive for a living, mainly as long-haul truckers, although also as taxi drivers, local delivery drivers, and other driving occupations.

Will self-driving cars drive unemployment for these workers?

One thing to notice is that “unemployment” is subtly different than “job loss”. If somebody loses a job (say, as a long-haul trucker) but gets a new job (say, as a local delivery driver), then that person has lost a job but is not unemployed. They might be worse off in their new job (or maybe better off!), which is also important track, but they won’t show up in the unemployment statistics.

This is all a long lead in to Scott Alexander’s very, very long blog post: “Technological Unemployment: Much More Than You Wanted To Know”. This isn’t a post on self-driving cars specifically, and it’s not even a post about the future. It’s more about technological unemployment in the present and recent past. But the present and recent past are probably our best guides to the future, so it’s relevant.

The whole post is definitely worth reading. It’s almost unfair to excerpt it, because you can’t appreciate the full power of the meta-research without the run-up, but this the summary:

“Here are some tentative conclusions:

1. Technological unemployment is not happening right now, at least not more so than previous eras. The official statistics are confusing, but they show no signs of increases in this phenomenon. (70% confidence)

2. On the other hand, there are signs of technological underemployment — robots taking middle-skill jobs and then pushing people into other jobs. Although some people will be “pushed” into higher-skill jobs, many will be pushed into lower-skill jobs. This seems to be what happened to the manufacturing industry recently. (70% confidence)

3. This sort of thing has been happening for centuries and in theory everyone should eventually adjust, but there are some signs that they aren’t. This may have as much to do with changes to the educational, political, and economic system as with the nature of robots per se. (60% confidence)

4. Economists are genuinely divided on how this is going to end up, and whether this will just be a temporary blip while people develop new skills, or the new normal. (~100% confidence)

5. Technology seems poised to disrupt lots of new industries very soon, and could replace humans entirely sometime within the next hundred years. (???)

This is a very depressing conclusion. If technology didn’t cause problems, that would be great. If technology made lots of people unemployed, that would be hard to miss, and the government might eventually be willing to subsidize something like a universal basic income. But we won’t get that. We’ll just get people being pushed into worse and worse jobs, in a way that does not inspire widespread sympathy or collective action. The prospect of educational, social, or political intervention remains murky.”

I’m more optimistic about the future than Scott Alexander seems to be, although I am humbled by the research he has done. I am a little tentative disagreeing with him based on what mostly amounts to my own intuition.

It seems to me that technological progress over the long-term has made jobs much better. And these “better” jobs have funded a safety net for people who cannot work, although we can debate the appropriate strength of that safety net.

My hope is that autonomous vehicles provide whole new classes of better jobs for future workers, and progress marches forward.

Listening to Tim Harford on a back episode of EconTalk, I was struck by their extended discussion of the elevator as one of the original autonomous vehicles.

The discussion seems both distant from self-driving cars, but also strangely relevant. Harford and EconTalk host Russ Roberts touch on safety, technological unemployment, and traffic optimization.

https://player.fm/series/econtalk/tim-harford-on-fifty-inventions-that-shaped-the-modern-economy?t=2990