Brad Templeton is Chairman Emeritus of the EFF, Singularity University founding computing faculty, software architect and internet entrepreneur, robotic car strategist, futurist lecturer, photographer and Burning Man artist.
This is an "ideas" blog rather than a "cool thing I saw today" blog. Many of the items are not topical. If you like what you read, I recommend you also browse back in the archives, starting with the best of blog section. It also has various "topic" and "tag" sections (see menu on right) and some are sub blogs like Robocars, photography and Going Green. Try my home page for more info and contact data.
In 2010, I proposed the idea of planes with no landing gear which land on robotic platforms. The spring loaded platforms are pulled by cables and so can accelerate and turn with multiple gees, so that almost no matter what the plane does, it can't miss the platform, and it can even hit hard with safety.
I've been electric car shopping, but one thing has stood out as a big concern. Many electric cars are depreciating fast, and it may get even faster. I think part of this is due to the fact that electric cars are a bit more like electronics devices than they are cars. Electric cars will see major innovation in the next few years, as well as a decline in their price/performance of their batteries. This spells doom for their value. It's akin to cell phones -- your 2 year old cell phone still functions perfectly, but you dispose of it for a new one because of the pace of innovation.
While I've been in love for a long time with the idea of mobility-on-demand and the robocar taxi, I continue to have some privacy concerns. The first is simply over the idea that a service company gets a map of all your travels. Of course, your cell phone company, and companies like Google with their Location History (Warning, don't click or you will be freaked out if you didn't know about this) know this already, as does the NSA and probably all the other spy agencies in the world. That doesn't make it much better to add more trackers.
NHTSA, the federal car safety agency has been talking about getting into the robocar game for a while, and now declares it wants more involvement with two important details:
Hot on the heels of my CES Report is the release of the latest article from Chris Urmson on The View from the Front Seat of the Google Car. Chris heads engineering on the project (and until recently led the entire project.)
I'm back from CES 2016 with a raft of news, starting with robocars. Some news was reported before the show but almost everybody had something to say -- even if it was only to have something to say!
I have many more photos with coverage in my CES 2016 Photo Gallery.
Ford's CEO talks like he gets it. Ford did not have too much to show -- they announced they will be moving to Velodyne's new lower cost 32-laser puck-sized LIDAR for their research, and boosting their research fleet to 30 vehicles. They plan for full-auto operation in limited regions fairly soon.
Ford is also making its own efforts into one-way car share (similar to Daimler Car2Go and BMW DriveNow) called GoDrive, which pushes Ford more firmly into the idea of selling rides rather than cars. The car companies are clearly believing this sooner than I expected, and the reason is very clearly the success of Uber. (As I have said, it's a mistake to think of Uber as competition for the taxi companies. Uber is competition for the car companies.)
Ford is also doing an interesting "car swap" product. While details are scant, it seems what the service will do is let you swap your Ford for somebody else's different Ford. For example, if somebody has an F-150 or Transit Van that they know they won't use the cargo features on some day or weekend, you drive over with your ordinary sedan and swap temporarily for their truck -- presumably with a small amount of money flowing to the more popular vehicle. Useful idea.
The big announcement that didn't happen was the much-rumoured alliance between Ford and Google. Ford did not overtly refute it but suggested they had enough partners at present. The alliance would be a good idea, but either the rumours were wrong, or they are waiting for another event (such as the upcoming Detroit Auto Show) to talk about it.
The big disappointment of the event was the silly concept racecar shown by Faraday Future. Oh, sure, it's a cool electric racecar, but it has absolutely nothing to do with everything we've heard about this company, namely that they are building a consumer electric car-on-demand service with autonomous delivery. Everybody wondered if they had booked the space and did not have their real demo ready on time. It stays secret for a while, it seems. Recent hires, such as Jan Becker, the former head of the autonomous lab for Bosch, suggest they are definitely going autonomous.
Google's car drives by having super-detailed maps of all the roads, and that's the correct approach. Google is unlikely to hand out its maps, so both Here/Navteq (now owned by a consortium of auto companies in Germany) and TomTom have efforts to produce similar maps to licence to non-Google robocar teams. They are taking fairly different approaches, which will be the subject of a future article.
One interesting edge is that these companies plan to partner with big automakers and not just give them map data but expect data in return. That means that each company will have a giant fleet of cars constantly scanning the road, and immediately reporting any differences between the map and the territory. With proper scale, they should get reports on changes to the road literally within minutes of them happening. The first car to encounter a change will still need to be able to handle it, possibly by pulling over and/or asking the human passenger to help, but this will be a very rare event.
MobilEye has announced a similar plan, and they are already the camera in a large fraction of advanced cars on the road today. MobilEye has a primary focus on vision, rather than Lidar, but will have lots of sources of data. Tesla has also been uploading data from their cars, though it does not (as far as I know) make as extensive use of detailed maps, though it does rely on general maps.
Lyft announced a $500M investment from GM with $500M more, pushing them to a $5.4B valuation, which is both huge and just a tenth of Uber. This was combined with talk of a push to robocars. (GM will provide a car rental service to Lyft drivers to start, but the speculation is that whatever robocar GM gets involved in will show up at Lyft.)
Yahoo Autos is reporting rumours that Google and Ford will announce a partnership at CES. Google has always said it doesn't want to build the cars, and Ford makes sense as a partner -- big, but with only modest R&D efforts of its own, and frankly a brand that needs a jolt of excitement. That means it will be willing to work with Google as a partner which calls many of the shots, rather than just viewing them as a supplier, which gets to call few of them.
Be careful what you wish for -- yesterday the California DMV released its proposed regulations for the operation of robocars in California. All of this sprang from Google's request to states that they start writing such regulations to ensure that their cars were legal, and California's DMV took much longer than expected to release these regulations, which Google found quite upsetting.
This summer, I started wondering what you might do to build a small farming robot to manage a home garden. I then discovered the interesting Farmbot project, which has been working on this for much longer, and has done much of what I thought might be useful. So I offer kudos to them, but thought it might be worth discussing some of the reasons why this is interesting, and a few new ideas.
Another road trip has meant fewer posts -- this trip included being in Paris on the night of Nov 13 but fortunately taking a train out a couple of hours before the shooting began, and I am now in South Africa on the way to Budapest -- but a few recent items merit some comment.
I'm pleased to announce today the unveiling of a new self-driving vehicle company with which I am involved, not building self-driving cars, but instead small delivery robots which are going to change the face of retailing and last-mile delivery and logistics.
In the buzz over the Tesla autopilot update, a lot of commentary has appeared comparing this Autopilot with Google's car effort and other efforts and what I would call a "real" robocar -- one that can operate unmanned or with a passenger paying no attention to the road. We've seen claims that "Tesla has beaten Google to the punch" and other similar errors. While the Tesla release is a worthwhile step forward, the two should not be confused as all that similar.
Last night, one day early, I attended Stanford's unveiling of their newest research vehicle for self-driving. In order to do experiments with drifting (where you let the rear wheels skid freely) they heavily modified an old Delorean.
They managed to get Jamie Hyneman of Mythbusters to host the event so there was a good crowd. He asked "Why a Delorean?" and instead of saying the obvious line:
"The way I see it, if you're going to build a self-driving drifting car, why not do it with some style?"
Some bigger news today, though anticipated for a few months, is Tesla's release of a highway cruise update for Model S cars from the last year.
During a very busy September of travel, I let a number of important stories fall through the cracks. The volume of mainstream press articles on Robocars is immense. Most are rehashes of things you have already seen here, but if you want the fastest breaking news, there are now some sources that focus on that. Here I will report the important news with analysis.
Last week, I commented on the VW scandal and asked the question we have all wondered, "what the hell were they thinking?" Elements of an answer are starting to arise, and they are very believable and teach us interesting lessons, if true. That's because things like this are rarely fully to blame on a small group of very evil people, but are more often the result of a broad situation that pushed ordinary (but unethical) people well over the ethical line. This we must understand because frankly, it can happen to almost anybody.
The ingredients, in this model are:
There's no question that VW has a culture like that. Many successful companies do, some even attribute their excellence to it. Here's a quote from the 90s from VW's leader at the time, talking about his desire for a hot new car line, and what would happen if his team told him that they could not delivery it:
"Then I will tell them they are all fired and I will bring in a new team," Piech, the grandson of Ferdinand Porsche, founder of both Porsche and Volkswagen, declared forcefully. "And if they tell me they can't do it, I will fire them, too."
Now we add a few more interesting ingredients, special to this case:
The team is asked to develop an engine that can deliver power and fuel economy for the US and other markets, and do it while meeting the emissions standards. The team (or its leader) says "yes," instead of saying, "That's really, really hard."
They get to work, and as has happened many times in many companies, they keep saying they are on track. Plans are made. Tons of new car models will depend on this engine. Massive marketing and production plans are made. Billions are bet.
Not too many months before ship date, it is reported, the team working on the engine -- it is not yet known precisely who -- finally comes to a realization. They can't deliver. They certainly can't deliver on time, possibly they can actually never deliver for the price budget they have been given.
Now we see the situation in which ordinary people might be pushed over the line. If they don't deliver, the company has few choices. They might be able to put in a much more expensive engine, with all the cost such a switch would entail, and price their cars much more than they hoped, delivering them late. They could cancel all the many car models which were depending on this engine, costing billions. They could release a wimpy car that won't sell very well. In either of these cases, they are all fired, and their careers in the industry are probably over.
Or they can cheat and hope they won't get caught. They can be the heroes who delivered the magic engine, and get bonuses and rewards. 95% they don't get caught, and even if they are caught, it's worse, but not in their minds a lot worse than what they are facing. So they pretend they built the magic engine, and program it to fake that on the tests.
This proposal on the upcoming federal election talks about some interesting gaming of the voting system.
In Canada, there are 3 (and sometimes more) strong parties. This is true in much of the world; in fact the two-party USA is somewhat unusual. However, with "plurality" style elections, where the candidate with the most votes takes the seat even though they might have well under a majority, you can get a serious difference between the popular vote and the composition of the house. Americans see the same in their Electoral college and in gerrymandered districts.
The author, who wishes to defeat the incumbent Conservative party, proposes a way for the other two parties (Liberals and New Democrats) to join forces and avoid vote splitting. The Liberals and NDP are competitors, but have much more affinity for one another than they do for the Conservatives. They are both left-of-centre. This collaboration could be done at a national party level or at the grass roots level, though it would be much harder there.
Often in parliaments, you not only get splitting within the race for each seat, you get a house where no party has a majority. For minority governments, one party -- usually the largest -- strikes a deal with another party for a coalition that allows them to govern. Sometimes the coalition involves bitter enemies. They cooperate because the small party gets some concessions, and some of their agenda is passed into law, even though far more of the dominant party's agenda gets passed. Otherwise, the small party knows it will get nothing.
Among the most common questions I have seen in articles in the mainstream press, near the top is, "Who is going to be liable in a crash?" Writers always ask it but never answer it. I have often given the joking answer by changing the question to "Who gets sued?" and saying, "In the USA, that's easy. Everybody will get sued."
Yesterday I attended the "Silicon Valley reinvents the wheel" conference by the Western Automotive Journalists which had a variety of talks and demonstrations of new car technology.
Now that robocars have hit the top of the "Gartner Hype Cycle" for 2015, everybody is really piling on, hoping to see what's good for their industry due to the robocar. And of course, there is a great deal of good, but not for several industries.
Let me break down some potential misconceptions if my predictions are true: