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Brad Ideas



Brad Templeton is Chairman Emeritus of the EFF, Singularity U computing chair, 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



 



NHTSA ODI report exonerates Tesla in fatal crash

Thu, 19 Jan 2017 21:40:34 -0800

NHTSA released the report from their Office of Defects Investigation on the fatal Tesla crash in Florida last spring. It’s a report that is surprisingly favorable to Tesla. So much so that even I am surprised. While I did not think Tesla would be found defective, this report seems to come from a different agency than the one that recently warned comma.ai that:

It is insufficient to assert, as you do, that the product does not remove any of the driver’s responsibilities” and “there is a high likelihood that some drivers will use your product in a manner that exceeds its intended purpose.

(image)

The ODI report rules that Tesla properly considered driver distraction risks in its design of the product. It goes even further, noting that drivers using Tesla autopilot (including those monitoring it properly and those who did not) still had a decently lower accident rate for mile than drivers of ordinary cars without autopilot. In other words, while the autopilot without supervision is not good enough to drive on its own, the autopilot even with occasionally lapsed supervision that is known to happen is still overall a safer system than not having the autopilot at all.

This will provide powerful support for companies developing autopilot style systems, and companies designing robocars who wish to use customer supervised driving as a means to build up test miles and verification data. They are not putting their customers at risk as long as they do it as well as Tesla. This is interesting (and the report notes that evaluation of autopilot distraction is not a settled question) because it seems probable that people using the autopilot and ignoring the road to do e-Mail or watch movies are not safer than regular drivers. But the overall collection of distracted and watchful drivers is still a win.

This might change as companies introduce technologies which watch drivers and keep them out of the more dangerous inattentive style of use. As the autopilots get better, it will become more and more tempting, after all.

Tesla stock did not seem to be moved by this report. But it was also not moved by the accident or other investigations — it actually went on a broadly upward course for 2 months following announcement of the fatality.

The ODI’s job is to judge if a vehicle is defective. That is different from saying it’s not perfect. Perfection is not expected, especially from ADAS and similar systems. The discussion about the finer points of whether drivers might over-trust the system are not firmly settled here. That can still be true without the car being defective and failing to perform as designed, or being designed negligently.




CES Gallery -- Smart Connected IoT home and more

Thu, 19 Jan 2017 12:08:12 -0800

(image) I go to CES first to see the cars but it’s also good to see all the latest gadgets. My gallery, with captions you will see at the bottom as you page through them, provides photos and comments on interesting and stupid products and gadgets for this year.

Gallery of CES gadgets

CES always contains an amazing array of “What are they thinking?” products. This year, more than ever, we had more things that were made “smart” and “connected” for little reason one can discern. I was quite disappointed to read various media lists of top gadgets of CES 2017 and not find a single one that was actually exciting. There are a few that will be exciting one day — the clothes folding robot, the human carrying drone — but they are not here yet.




Rodney Brooks on Pedestrian Interaction, Andrew Ng on Infrastructure, and both on human attitudes

Mon, 16 Jan 2017 21:08:38 -0800

Recently we’ve seen two essays by people I highly respect in the field of AI and robotics. Their points are worthy of reading, but in spite of my respect, I have some differences of course. The first essay comes from Andrew Ng, head of AI (and thus the self-driving car project) at Baidu. You will find few who can compete with Andrew when it comes to expertise on AI. (Update: This essay is not recent, but I only came upon it recently.) In Wired he writes that Self-Driving Cars Won’t Work Until We Change Our Roads—And Attitudes. And the media have read this essay as being much more strong about changing the roads than he actually writes. I have declared it to be the “first law of robocars” that you don’t change the infrastructure. You improve your car to match the world you are given, you don’t ask the world to change to help your cars. There are several reasons I promote this rule: As soon as you depend on a change in the world in order to drive safely, you have vastly limited where you can deploy. You declare that your technology will be, for a very long time, a limited area technology. You have to depend on, and wait for others to change the world or their attitudes. It’s beyond your control. When it comes to cities and infrastructure, the pace of change is glacial. When it comes to human behaviour, it can be even worse. While it may seem that the change to infrastructure is clearer and easier to plan, the reality is almost assuredly the opposite. That’s because the clever teams of developers, armed with the constantly improving technologies driven by Moore’s law, have the ability to solve problems in a way that is much faster than our linear intuitions suggest. Consider measuring traffic by installing tons of sensors, vs. just getting everybody to download Waze. Before Waze, the sensor approach seemed clear, if expensive. But it was wrong. As noted, Andrew Ng does not actually suggest that much change to the infrastructure. He talks about: Having road construction crews log changes to the road before they do them Giving police and others who direct traffic a more reliable way to communicate their commands to cars Better painting of lane markers More reliable ways to learn the state of traffic lights Tools to help humans understand the actions and plans of robocars Logging construction The first proposal is one I have also made, because it’s very doable, thanks to computer technology. All it requires at first blush is a smartphone app in the hands of construction crews. Before starting a project, they would know that just as important as laying out cones and signs is opening the app and declaring the start of a project. The phone has a GPS and can offer a selection of precise road locations and log it. Of course, the projects should be logged even before they begin, but because that’s imperfect, smartphone logging is good enough. You could improve this by sticking old smartphones in all the road construction machines (old phones are cheap and there are only so many machines) so that any time a machine stops on a road for very long, it sends a message to a control center. Even emergency construction gets detected this way. Even with all that, cars still need to detect changes to the road (that’s easy with good maps) and cones and machines. Which they can do. Police redirection I think the redirection problem is more difficult. Many people redirect traffic, even civilians. However, I would be interested to see Ng’s prediction on how hard it is to get neural network based recognizers to understand all the common gestures. Considering that computers are now getting better at reading sign languages, which are much more complex, I am optimistic here. But in any event, there is another solution for the cases where the system can’t understand the advice, namely calling in an operator in a remote control center, which is what Nissan plans to do, [...]



CES News Part 1 -- cars

Sun, 15 Jan 2017 17:30:39 -0800

CES has become the big event for major car makers to show off robocar technology. Most of the north hall, and a giant and valuable parking lot next to it, were devoted to car technology and self-driving demos.

(image)

Gallery of CES comments

Earlier I posted about many of the pre-CES announcements and it turns out there were not too many extra events during the show. I went to visit many of the booths and demos and prepared some photo galleries. The first is my gallery on cars. In this gallery, each picture has a caption so you need to page through them to see the actual commentary at the bottom under the photo. Just 3 of many of the photos are in this post.

To the left you see BMW’s concept car, which starts to express the idea of an ultimate non-driving machine. Inside you see that the back seat has a bookshelf in it. Chances are you will just use your eReader, but this expresses and important message — that the car of the future will be more like a living, playing or working space than a transportation space.

Nissan

The main announcement during the show was from Nissan, which outlined their plans and revealed some concept cars you will see in the gallery. The primary demo they showed involved integration of some technology worked on by Nissan’s silicon valley lab leader, Maarten Sierhuis in his prior role at NASA. Nissan is located close to NASA Ames (I myself work at Singularity University on the NASA grounds) and did testing there.

Their demo showed an ability to ask a remote control center to assist a car with a situation it doesn’t understand. When the car sees something it can’t handle, it stops or pulls over, and people in the remote call center can draw a path on their console to tell the car where to go instead. For example, it can be drawn how to get around an obstacle, or take a detour, or obey somebody directing traffic. If the same problem happens again, and it is approved, the next car can use the same path if it remains clear.

I have seen this technology a number of places before, including of course the Mars rovers, and we use something like it at Starship Technologies for our delivery robots. This is the first deployment by a major automaker.

Nissan also committed to deployment in early 2020 as they have before — but now it’s closer. (image)

You can also see Nissan’s more unusual concepts, with tiny sensor pods instead of side-view mirrors, and steering wheels that fold up.

Startups

Several startups were present. One is AIMotive, from Hungary. They gave me a demo ride in their test car. They are building a complete software suite, primarily using cameras and radar but also able to use LIDAR. They are working to sell it to automotive OEMs and already work with Volvo on DriveMe. The system uses neural networks for perception, but more traditional coding for path planning and other functions. It wasn’t too fond of Las Vegas roads, because the lane markers are not painted there — lanes are divided only with Bott’s Dots. But it was still able to drive by finding the edge of the road. They claim they now have 120 engineers working on self-driving systems in Hungary.  read more »




No, a Tesla didn't predict an accident and brake for it

Tue, 10 Jan 2017 13:30:24 -0800

You may have seen a lot of press around a dashcam video of a car accident in the Netherlands. It shows a Tesla in AutoPilot hitting the brakes around 1.4 seconds before a red car crashes hard into a black SUV that isn’t visible from the viewpoint of the dashcam. Many press have reported that the Tesla predicted that the two cars would hit, and because of the imminent accident, it hit the brakes to protect its occupants. (The articles most assuredly were not saying the Tesla predicted the accident that never happened had the Tesla failed to brake, they are talking about predicting the dramatic crash shown in the video.)

The accident is brutal but apparently nobody was hurt.

width="640" height="360" src="https://www.youtube.com/embed/om3z1yLQtwo" frameborder="0" allowfullscreen>

The press speculation is incorrect. It got some fuel because Elon Musk himself retweeted the report linked to, but Telsa has in fact confirmed the alternate and more probable story which does not involve any prediction of the future accident. In fact, the red car plays little to no role in what took place.

Tesla’s autopilot uses radar as a key sensor. One great thing about radar is that it tells you how fast every radar target is going, as well as how far away it is. Radar for cars doesn’t tell you very accurately where the target is (roughly it can tell you what lane a target is in.) Radar beams bounce off many things, including the road. That means a radar beam can bounce off the road under a car that is in front of you, and then hit a car in front of it, even if you can’t see the car. Because the radar tells you “I see something in your lane 40m ahead going 20mph and something else 30m ahead going 60mph” you know it’s two different things.  read more »




Ford Fusion, Nvidia, MobilEye, HERE, Intel and other partnerships, BMW 7s in 2017 and more CES pre-news

Wed, 04 Jan 2017 23:20:43 -0800

Thursday night I am heading off to CES, and it’s become the main show it seems for announcing robocar news. There’s already a bunch. BMW says it will deploy a fleet of 40 cars in late 2017 Bumping up the timetables, BMW has declared it will have a fleet of 40 self-driving series 7 cars, using BMW’s technology combined with MobilEye and Intel. Intel has recently been making a push to catch up to Nvidia as a chipmaker supplier to automakers for self-driving. It’s not quite said what the cars will do, but they will be trying lots of different roads. So far BMW has mostly been developing its own tech. More interesting has been their announcement of plans to sell rides via their DriveNow service. This was spoken of a year ago but not much more has been said. Intel also bought 15% of “HERE” the company formerly known as Navteq and Nokia. Last year, the German automakers banded together to buy HERE from Nokia and the focus has been on “HD” self-driving maps. Hyundai, Delphi show off cars There are demo cars out there from Delphi and a Hyundai Ioniq. Delphi’s car has been working for a while (it’s an Audi SUV) but recently they have also added a bunch of MobilEye sensors to it. Reports about the car are good, and they hope to have it ready by 2019, showing up in 2020 or 2021 cars on dealer lots. Toyota sticks to concepts Toyota’s main announcement is the Concept-i meant to show off some UI design ideas. It’s cute but still very much a car, though with all the silly hallmarks of a concept — hidden wheels, strangely opening doors and more. Quanergy announces manufacturing plans for $250 solid state LIDAR Quanergy (Note: I am on their advisory board) announced it will begin manufacturing this year of automotive grade $250 solid state LIDARs. Perhaps this will stop all the constant articles about how LIDAR is super-expensive and means that robocars must be super-expensive too. The first model is only a taste of what’s to come in the next couple of years as well. New Ford Model has sleeker design Ford has become the US carmaker to watch (in addition to Tesla) with their announcement last year that they don’t plan to sell their robocars, only use them to offer ride service in fleets. They are the first and only carmaker to say this is their exclusive plan. Just prior to CES, Ford showed off a new test model featuring smaller Velodyne pucks and a more deliberate design. I have personally never understood the desire to design robocars to “look like regular cars.” I strongly believe that, just like the Prius, riders in the early robocars will want them to look distinctive, so they can show off how they are in a car of the future. Ford’s carm based on the Fusion hybrid, is a nice compromise — clearly a robocar with its sensors, but also one of sleek and deliberate design. Nvidia keeps its push Nvidia has a new test car they have called BB8. (Do they have to licence that name?) It looks fairly basic, and they show a demo of it taking somebody for a ride with voice control, handling a lot of environments. It’s notable that at the end, the driver has to take over to get to the destination, so it doesn’t have everything, nor would we expect it. NVIDIA is pushing their multi-GPU board as the answer to how to get a lot of computing power to run neural networks in the car. What’s coming Announcements are due tomorrow from Nissan and probably others. I’ll report Friday from the show floor. See you there. [...]



On voting, sampling, measurement, elections and surveys

Tue, 03 Jan 2017 00:40:37 -0800

Yesterday’s post about the flaws in the so-called “popular vote” certainly triggered some debate (mostly on Facebook.) To clarify matters, I thought I would dive a little deeper about what the two types of Presidential elections in the USA are so different they can’t be added together in a way that isn’t misleading. These matters are studied both by statisticians, who focus on the science of measurement, particularly of things about groups, and election theorists, who also are interested in that but add the study of votes/polls which do not deliberately sample a subset of a population, but attempt to consider the will of the entire group. Both of them are highly concerned about how to deal with the fact a substantial fraction of the population may not participate. One way to look at the difference is to consider this: An election is not supposed to be just a measurement. It is that, but more than that it is an action. It is the actual enactment of the will of the voters. While there are government officials who count the votes and report on them, a person is not put into office by those officials. Rather, it is the voters who put the candidate into office through their votes. (In Canada, it’s different. The Queen and her Governor-General technically have the legal power, and they observe how the people voted and invite the winner to form a government in the Queen’s name.) Because voting is an act, rather than just an expression of opinion, we have come to deal with the non-participators as still acting. By not registering to vote or not showing up, they have still taken an action; they have deferred to the others to select the winner. We tolerate this, though we don’t like it. Low turnouts reduce confidence in the results, and they also mean that election results can be more easily manipulated through “get out the vote” efforts. On the other hand, we get quite upset when people don’t vote for other reasons outside their own will, particularly if somebody else impeded their ability to vote, or manipulated them into not voting. Both voting and not voting must be acts of the free person. Election theorists join with statisticians in some ways. All are interested in making sure that the aggregate will that comes from counting the votes most accurately reflects the aggregate will of the voters. We debate the merits of different counting systems. Many feel that multi-candidate ballots/preferential ballots do a much better job than first-past-the-post plurality systems. But in all case the counting system is simply the means of calculating the voters’ will so it can be enacted. In the US Presidential elections, in spite of what is written on the ballot, the voters are appointing a slate of members of the electoral college. This is done independently in each state. In the swing states, all is as you would expect. Candidates campaign. Major efforts are made to woo voters and to get voters to come out. Voters go to the polls knowing and expecting that their will shall be done. They expect they might be part of the group which gets to designate the slate of electors. In the safe states, it’s very different. In these states, who the electors will be is already well established from polls and the historical patterns of the state. The voters will picks the electors, but it’s a foregone conclusion. Nobody campaigns. There are no major efforts to get out the vote. There will be other races on the ballots which will bring out voters, who will vote within the known constraints. A decent chunk of voters will also show up because “this is how we do things” and together the knowledge that this will happen seals the fate of the state. On top of that, in the safe states, one knows that if things got so far outside the predicted norms as to make[...]



We don't know who won the US popular vote, decent chance it was Clinton

Sun, 01 Jan 2017 13:18:11 -0800

The common statistic reported after the US election was that Clinton “won the popular vote” by around 3 million votes over Trump. This has caused great rancour over the role of the electoral college and has provided a sort of safety valve against the shock Democrats (and others) faced over the Trump victory. I’m here with concerning analysis, which I offer because it is a mistake on the part of the US left to underestimate the magnitude of Trump’s victory, or to imagine it was only because of a flaw in the system which he gamed better than Clinton. The problem is that the US does not officially have a thing called “the popular vote.” That exists nowhere in its rules. There is no popular election of the President. Rather, there 54 elections with popular votes in 51 jurisdictions, which newspaper reporters then sum up into a number they incorrectly describe as “the national popular vote.” Of course, Clinton did win that invalid sum by around 3M votes. But bad statistical practice by the press, though it has created a common convention — for many decades — of calling that number “the popular vote,” does not make it valid. True popular votes involve all voters being free and equal, and we criticise any foreign election that pretends to call itself a popular vote when the voters are not free and equal. A popular vote, by its proper definition, is the vote total in a single election. Not 54 of them. As such, the sum is no more a popular vote total than adding the results of the 2008 and 2012 votes would get you a popular vote for or against Obama. It’s especially invalid because it’s really summing two fairly different types of results. True Popular vote totals from “swing” states where both candidates actively campaigned, turnout was higher, and voters expected their votes to count Low-accuracy popular vote totals from “safe states” which candidates did not contest, and where voters knew their vote would not change the result Statisticians will tell you these are two very different animals. We probably wish we knew who would have won the popular vote, if there had been a real national popular vote. Because there was no such vote, the hard answer is we don’t know what its result would be. In particular, with a statistically invalid sum like the published national popular vote, it is incorrect to say one party “won” or “lost.” There is no actual contest to win or lose, and while you can pretend that a higher total is winning, it is not a mathematically valid conclusion. We do know that in the 16 contested regions, Trump surpassed Clinton in a simple sum by about 500,000 votes. (As you would expect, since he needed to win the swing states to win the college.) In the uncontested states, where the Presidential choice was closer to a self-selected survey than a vote, a sum of those popular votes has her about 3.4M more than Trump. While you can’t add popular votes, each popular vote is a statistic, and you can combine statistics if you follow correct statistical procedures. There are many factors which will introduce error into the results from non-contested states, making it harder to figure out what the actual popular vote might have been. Voters knew their votes didn’t matter. Many stayed home; these states had generally lower voter turnout. The states with the lowest turnout (HI, WV, TN, TX, OK, AR, AZ, NM, MS, NY, CA, IN, UT) were generally safe states with large margins. Average turnout in 16 contested states was 65%, in non-contested states 57%. To get specific, a rough calculation suggests 8 to 9 million more votes would be cast in the non-contested states if they had a 65% turnout. This is a giant disenfranchisement. The two candidates had the l[...]



DMV pulls out big guns, Uber backs off, Waymo minivans emerge & Honda next?

Thu, 22 Dec 2016 09:58:47 -0800

The California DMV got serious in their battle with Uber and revoked the car registrations for Uber’s test vehicles. Uber had declined to register the cars for autonomous testing, using an exemption in that law which I described earlier. The DMV decided to go the next step and pull the more basic licence plate every car has to have if based in California. Uber announced it would take the cars to another state. While I’m friends with the Uber team, I have not discussed this matter with them, so I can only speculate why it came to this. As noted, Uber was complying with the letter of the law but not the spirit, which the DMV didn’t like. At the same time, the DMV kept pointing out that registering was really not that hard or expensive, so they can’t figure out why Uber stuck to its guns. (Of course, Uber has a long history of doing that when it comes to cities trying to impose old-world taxi regulations on them.) The DMV is right, it’s not hard to register. But with that registration comes other burdens, in particular filing regular public reports on distance traveled, interventions and any accidents. Companies doing breakthrough R&D don’t usually work under such regimes, and I am speculating this might have been one of Uber’s big issues. We’ve all see the tremendous amount of press that Google has gotten over accidents which were clearly not the fault of their system. The question is whether the public’s right to know (or the government’s) about risks to public safety supersedes the developer’s desires to keep their research projects proprietary and secret. It’s clear that we would not want a developer going out on the roads and having above-average numbers of accidents and keeping it hidden. And it may also be true that we can’t trust the developers to judge the cause of fault, because they could have a bias. (Though on most of the teams I have seen, the bias has been a safety paranoid one, not the other way around.) Certainly when we let teens start to drive, we don’t have them make a public report of any accidents they have. The police and DMV know, and people who get too many tickets or accidents get demerits and lose licences when it is clear they are a danger to the public. Perhaps a reasonable compromise would have been that all developers report all problems to the DMV, but that those results are not made public immediately. They would be revealed eventually, and immediately if it was determined the system was at fault. Uber must be somewhat jealous of Tesla. Tesla registered several cars under the DMV system, and last I saw, they sent in their reports saying their cars had driven zero miles. That’s because they are making use of the same exemption that Uber wanted to make use of, and saying that the cars are not currently qualifying as autonomous under the law. Pacifica Minivans released by Waymo/Google Waymo has unveiled its 4th generation vehicle, a fleet of 100 Chrysler Pacifica minivans. The partnership was announced in May and the new vehicle has various custom modifications As you can see, the van still has Waymo’s custom 360 degree LIDAR dome on top, and two sensors at the back top corners, plus other forward sensors. The back sensors I would guess to be rear radar — which lets you make lane changes safely. We also see three apparent small LIDARs, one on the front bumper, and the other two on the sides near the windshield pillars with what may be side-view radars. A bumper LIDAR makes sure you can see what’s right in front of the bumper, an area that the rooftop LIDAR might not see. That’s important for low speed operations and parking, or situations where there might be something surprising right up close. I am reminded of repor[...]



Car NAS for semi-offsite backup

Mon, 19 Dec 2016 10:06:34 -0800

Everybody should have off-site backup of their files. For most people, the biggest threat is fire, but here in California, the most likely disaster you will encounter is an earthquake. Only a small fraction of houses will burn down, but everybody will experience the big earthquake that is sure to come in the next few decades. Of course, fortunately only a modest number of houses will collapse, but many computers will be knocked off desks or have things fall on them.

To deal with this, I’ve been keeping a copy of my data in my car — encrypted of course. I park in my driveway, so nothing will fall on the car in a quake, and only a very large fire would have risk of spreading to the car, though it’s certainly possible.

The two other options are network backup and truly remote backup. Network backup is great, but doesn’t work for people who have many terabytes of storage. I came back from my latest trip with 300gb of new photos, and that would take a very long time to upload if I wanted network storage. In addition, many TB of network storage is somewhat expensive. Truly remote storage is great, but the logistics of visiting it regularly, bringing back disks for update and then taking them back again is too much for household and small business backup. In fact, even being diligent about going down to the car to get out the disk and update is difficult.

A possible answer — a wireless backup box stored in the car. Today, there are many low-cost linux based NAS boxes and they mostly run on 12 volts. So you could easily make a box that goes into the car, plugs into power (many cars now have 12v jacks in the trunk or other access to that power) and wakes up every so often to see if it is on the home wifi, and triggers a backup sync, ideally in the night.  read more »




The terrible power of computer espionage in our world of shame

Sat, 17 Dec 2016 11:46:47 -0800

I have some dark secrets. Some I am not proud of, some that are fine by me but I know would be better kept private. So do you. So does everybody. And the more complex your life, the more “big” things you have done in the world, the bigger your mistakes and other secrets are. It is true for all of us. This is one of the reasons the world needs privacy to work. The 2016 US election hack makes clear the big challenge. In a world where everybody has secret flaws, the person who can point the flashlight at their enemies, and not themselves or their friends, has a truly powerful weapon. Now that we conduct our entire lives on computers, those who can penetrate them can learn those secrets. We’re not good at being intellectual about this. When one house has a big pile of dirty laundry in front, we know intellectually that all the other houses almost surely have a similar pile in the basement. But the smell of the exposed one is clear, and it’s bad, and we can’t keep our minds on that fact. So we can be manipulated, even though we know we are being manipulated. In this election, we got to see exposed various flaws at the Democratic National Committee. The flaws were real (though on the scale of such things, not overwhelming.) Our gut reaction, though, is to feel, “it doesn’t matter how we learned this, it’s still bad and not to be ignored.” We feel this even though we know the information was gathered illegally, then disclosed to manipulate us. That’s because generally we do and should love whistleblowers. They are usually brave heroes. But what we learn that the whistleblower revealed the secrets not for the public good, not to expose a wrong, but instead cherry-picked what to expose to manipulate us, we must do something else we normally taught is wrong and “shoot the messenger.” The legal system figured this out long ago. It has detailed rules about how evidence can be collected and used. If those rules are violated, the system attempts to disregard the evidence in its deliberations. Everything that came from the improper evidence is to be unseen, disregarded. People we know for certain who are murderers and rapists are set free because there was something untoward about how we learned it. The public is incapable of the logical dispassion demanded in the courts. If this can never be fixed, we are in for trouble. There will always be secrets. And now there will always be people with the tools to get at all but the most highly protected ones and selectively disclose them. Some people believe we can get used to a more fully transparent world, and have no secrets. If we can do that, this weapon is diminished. They hope that if we all see how many secrets others have, we won’t be so ashamed of ours. I am highly doubtful. People will keep secrets. The powerful will be better at protecting them, but the even more powerful will be better at extracting them. The secrets will not be just shameful things but actually illegal things. We live in a world of so many laws that we are all breaking them regularly. I am not sure I see a way out. This is not simply about Clinton. While everybody is bothered by fake news, this is news which is true, but not the whole truth and not misleading. In the past I have written about extending the concept of “privilege” to information on our computers. Perhaps this form of invasion of privacy could be viewed the same way socially. That breaking into your computer to disclose your secrets would be like beating up somebody’s priest or lawyer to extract those secrets. If a news story started with, “we bugged his lawyer’s office and heard him confess this crime to his l[...]



Uber's battle in San Francisco

Fri, 16 Dec 2016 15:44:52 -0800

For a few months, Uber has been testing their self-driving prototypes in Pittsburgh, giving rides to willing customers with a safety driver (or two) in the front seat monitoring the drive and ready to take over. When Uber came to do this in San Francisco, starting this week, it was a good step to study new territory and new customers, but the real wrinkle was they decided not to get autonomous vehicle test permits from the California DMV. Google/Waymo and most others have such permits. Telsa has such permits but claims it never uses them. I played an advisory role for Google when the Nevada law was drafted, and this followed into the California law. One of the provisions in both laws is that they specifically exempt cars that are unable to drive without a human supervisor. This provision showed up, not because of the efforts of Google or other self-drive teams, but because the big automakers wanted to make sure that these new self-driving laws did not constrain the only things they were making at the time — advanced ADAS and “autopilot” cars which are effectively extra-fancy cruise controls that combine lanekeeping functions with adaptive cruise control for speed. Many car makers offered products like that going back a decade, and they wanted to make sure that whatever crazy companies like Google wanted in their self-driving laws, it would not pertain to them. The law says: “…excluding vehicles equipped with one or more systems that enhance safety or provide driver assistance but are not capable of driving or operating the vehicle without the active physical control or monitoring of a natural person.” Now Uber (whose team is managed by my friend Anthony Levandowski who played a role in the creation of those state laws while he was at Google) wants to make use of these carve-outs to do their pilot project. As long as their car is tweaked so that it can’t drive without human monitoring, it would seem to fit under that exemption. (I don’t know, but would presume they might do some minor modifications so the system can’t drive without the driver weight sensor activated, or a button held down or similar to prove the driver is monitoring.) The DMV looks at it another way. Since their testing regulations say you can’t test without human safety drivers monitoring and ready to take over, it was never the intent of the law to effectively exempt everything. You can’t test a car without human monitoring under the regulations, but cars that need monitoring are exempt. The key is calling the system a driver assistance system rather than a driving system. The DMV is right about the spirit. Uber may be right about the letter. Of course, Uber has a long history of not being all that diligent in complying with the law, and then getting the law to improve, but this time, I think they are within the letter. At least for a while. Other News Velodyne reports success in research into solid state LIDAR. Velodyne has owned the market for self-driving car LIDAR for years, as they are the only producers of a high-end model. Their models are mechanical and very expensive, so other companies have been pushing the lower cost end of the market, including Quanergy (Where I am an advisor) which has also had solid state LIDAR for some time, and appears closer to production. These and others verify something that most in the industry have expected for some time — LIDAR is going to get cheap soon. Companies like Tesla, which have avoided LIDAR because you can’t get a decently priced unit in production quantities, have effectively bet that cameras will get good before LIDAR gets cheap. The reality is that most early cars will simply use both che[...]



Google car is now Waymo

Tue, 13 Dec 2016 10:54:31 -0800

Google’s car project (known as “Chauffeur”) really kickstarted the entire robocar revolution, and Google has put in more work, for longer, than anybody. The car was also the first project of what became Google “X” (or just “X” today under Alphabet. Inside X, a lab devoted to big audacious “moonshot” projects that affect the physical world as well as the digital, they have promoted the idea that projects should eventually “graduate,” moving from being research to real commercial efforts. Alphabet has announced that the project will be its own subsidiary company with the new name “Waymo.” The name is not the news, though; what’s important is the move away from being a unit of a mega-company like Google or Alphabet. The freedoms to act that come with being a start-up (though a fairly large and well funded one) are greater than units in large corporations have. Contrast what Uber was able to do, skirting and even violating the law until it got the law changed, with what big corporations need to do. Google also released information about how in 2015 they took Steve Mahan — the blind man who was also the first non-employee to try out a car for running errands — for the first non-employee (blind or otherwise) fully self-driving ride on public streets, in a vehicle with no steering wheel and no backup safety driver in the vehicle. (This may be an effort to counter the large amount of press about public ride offerings by Nutonomy in Singapore and Uber in Pittsburgh, as well as truck deliveries by Uber/Otto in 2016.) It took Google/Alphabet 6 years to let somebody ride on public streets in part because it is a big company. It’s an interesting contrast with how Otto did a demonstration video after just a few months of life of a truck driving a Nevada highway with nobody behind the wheel (but Otto employees inside and around it.) That’s the sort of radical step that startups. Waymo has declared their next goal is to “let people use our vehicles to do everyday things like run errands, commute to work, or get safely home after a night on the town.” This is the brass ring, a “Mobility on Demand” service able to pick people up (ie. run unmanned) and even carry a drunk person. The last point is important. To carry a drunk is a particular challenge. In terms of improving road safety it’s one of the most worthwhile things we could do with self-driving cars, since drunks have so many of the accidents. To carry a drunk, you can’t let the human take control even if they want to. Unlike unmanned operation, you must travel at the speed impatient humans demand, and you must protect the precious cargo. To make things worse, in some legal jurisdictions, they still want to consider the person inside the car the “driver,” which could mean that since the “driver” is impaired, operation is illegal. Waymo as leader The importance of this project is hard to overstate. While most car companies had small backburner projects related to self-driving going back many years, and a number of worthwhile research milestones were conquered in the 90s and even earlier, the Google/Waymo project, which sprang from the Darpa Grand Challenge, energized everybody. Tiny projects at car companies all got internal funding because car companies couldn’t tolerate the press and the world thinking and writing the that true future of the car was coming from a non-car company, a search engine company. Now the car companies have divisions with thousands of engineers, and it’s thanks to Google. The Google/Waymo team was accomplishing tasks 5 y[...]



Therapy session for somebody with real family issues

Mon, 12 Dec 2016 11:52:33 -0800

On the lighter side, the other day I was daydreaming how a conversation about her family might go with a famous character… You’ll probably guess who fairly early in, but it’s pretty strange to read it like this:

Therapist: So, I’m told you have had some serious issues with your family? I’m here to help.

Patient: You might say that.

T: Did something painful happen recently?

P: My son murdered his father, my ex.

T: You son murdered his father! Is he in prison?

P: Not going to happen, he’s too highly placed.

(image) T: Why did he do it?

P: It’s a long story. And a bit of a pattern.

T: Others in your family have done this?

P: You might say that. There are bad stories about everybody in my family.

T: Surely you had a good relationship with your mother?

P: I never met my mother. She died just as I was born.

T: How terrible. Death in childbirth is so rare in the modern era.

P: She didn’t die in childbirth. I am told my father choked her.

T: Your father! So he went to jail?  read more »




What disability rules are right for robotaxis?

Fri, 09 Dec 2016 12:47:28 -0800

Robocars are broadly going to be a huge boon for many people with disabilities, especially disabilities which make it difficult to drive or those that make it hard to get in and out of vehicles. Existing disability regulations and policies were written without robocars in mind, and there are probably some improvements that need to be made. While I was at Google, I helped slightly with the project to show the first non-employee getting to use the car to run errands. The subject we selected was 95% blind, and of course he can’t drive, and even using transit is a burden. It was obvious to him immediately how life-changing the technology will be. Some background on disabled transport There are two rough policy approaches to making things more accessible. One requires that we make everything accessible. The other uses special accommodations for the disabled. Making everything accessible is broadly preferred by advocates. Wheelchair ramps on all public buildngs etc. Doing less than this runs a risk of “separate but equal” which quickly becomes separate and inferior. It’s also hugely expensive, and while that cost is borne by people like building owners and society, there is not unlimited budget, and there are arguments that there may be more efficient ways to spend the resources that are available. There are also lots of very different disabilities, and you need very different methods to deal with impairments in sight, mobility, hearing, cognition and the rest. Over 50 million people in the USA have some sort of disability, so this is no minor matter. In transportation, there is a general goal to make public transit accessible. To supplement that, or where that is not done, there are the paratransit rules. Paratransit offers people who meet certain tests an alternate ride (usually in a door to door van) for themselves and a helper for no more than twice the cost of a regular bus ticket. That sounds great until you learn you also have to schedule it a day in advance, and have a one-hour pickup window (which the disabled hate) and it’s hugely expensive, with an average cost per ride of over $30, which cities hate. (In the worst towns, it is $60/ride.) In some cities it approaches half the transit budget. Some cities, looking at that huge cost, let some disabled customers just use taxis for short trips, which provide much better service and cost much less. (Though to avoid over-use they put limitations on this.) There are Americans with Disabilities Act rules for taxis. Regular sedan taxis are not directly regulated though there can be no discrimination of disabled customers who are capable of riding in a sedan. Any new van of up to 8 seats has to been accessible, which often means things like wheelchair lifts. In addition, once a taxi fleet has accessible vans, it has to offer “equivalent service” levels. This might mean that if it has 200 sedans, it can’t buy just one van because there would be much longer wait times to get that van. To get around this, a lot of companies use a loophole and purchase only used vans. The law only covers the use of new vans. Companies like Uber and Lyft don’t own vehicles at all, and so are not governed in the same way by fleet requirements, though they do offer accessible vehicle services in some cities. When Uber and similar companies move to offering robotaxi service with vehicles they own, these laws would apply to them. Unlike some companies, the used van loophole will also be difficult since most robotaxis will be custom built new. New Types of Vehicles Robotaxi service offers the promise of a vehicle on demand, and it [...]



Thank you, United, for finally charging for the overhead bin

Thu, 08 Dec 2016 11:11:31 -0800

I’ve seen many enraged notes from friends on how United Airlines will now charge for putting a bag in the overhead bin. While they aren’t actually doing this, my reaction is not outrage, but actually something quite positive. And yours should be to, even when other airlines follow suit, as they will. I fly too much on United. I have had their 1K status for several years, this year I logged over 200,000 miles, so I know all the things to dislike about the airline. Why is it good for them to do this? Strictly speaking, what they are doing is creating a new fare class, which is extra discount, and it includes no bin space and no assigned seat before departure. They claim the new class will cost less than existing fares, and you can still buy the regular economy fare which comes which bin space and a seat assignment. Naturally, we can suspect they will soon raise the price. The other reason people can complain is that when you comparison shop, you tend to look for the cheapest price, and it’s annoying when the products are not similar. (To fix this, shopping sites will need to start having options so you can ask for a comparison of what you really want to buy.) The reason it’s good is that it means it’s more likely that I will get bin space when I show up late, and more likely I will get a tolerable seat when I book late. Airlines that give those things to all passengers, even the ones who don’t care that much about them, do not serve their more frequent flyers well. If I have to pay for seat assignment and bin space, it’s great, because I truly need them and will not have a better chance of getting them. Of course, as a super-elite, I won’t have to pay directly, I pay by all the other money I have given the airline, which is even better for me. I need bin space because I am a photographer who carries a lot of cameras and lenses. Even if I check a bag, I still bring along a big carry-on, and everything in it is too fragile to go in the hold. If they tell me they need to gate check it, I will either talk them out of it, or if that ever fails to work I may take another flight. Of course, elite flyers board first, so we don’t have a bin space problem, but sometimes we need to get to a flight late, or have a short connection, and then we can find ourselves with no bin space today. I won’t take a middle seat because I’m big. My fault or not, it’s the way it is. Sometimes I need to book last minute, or change flights or even go standby. This can mean a flight with nothing but middle seats. If it’s a flight of any duration, this is also just not an option anybody wants. Since in today’s system, everybody gets a seat based on when they bought, the guy with the discount ticket who bought 3 months ago has the aisle, and the elite flyer who paid a lot more for their ticket (possibly even downgraded from business class due to changes) is in the middle seat. Not the way you want to serve your better customers. (Since the airline will assign seats on day of flight, it will only help this moderately.) But the point is the same — I would rather pay for what I really need than have it come by default and end up not being available to me because a lot of people didn’t actually want it that much. People who don’t need a big carry-on. People who are small and can tolerate a middle seat easily and would rather do that than pay money. An airline that charges for these things is the airline I want. In fact, I would even be OK if they charged a bit more for aisles and less for windows and middles, even on t[...]



App stores need offline interfaces

Tue, 06 Dec 2016 13:42:45 -0800

Here’s the situation: You’re in a place with no bandwidth or limited bandwidth. It’s just the place that you need to download an app, because the good apps, at least, can do more things locally and not make as much use of the network. But you can’t get to the app store. The archetype of this situation is being on a plane with wifi and video offerings over the wifi. You get on board and you connect and it says you needed to download the app before you took off and got disconnected.

There’s an obvious answer. The app stores should allow segments of themselves to be cached offline. This means that the app market app (such as iTunes or Google Play) should allow you to use a cached version of the store, as long as everything is signed and not too old. Then the plane’s server could keep copies of things like the airline app or video playing app in the cache, along with games and entertainment they want to make available to you. Mostly free stuff, though you could also allow payment with cached transactions (with a bit of trust) if need be.

Same experience for the user. They could go to the app store, search for and find the airline app, and download and install it, all without a network connection. Only if they tried to get a non-cached app would they get told they were offline.

As I wander the world, I get reminded all the time how we get a bit spoiled in our land of fast wifi and LTE phone data. You even get to understand why Google started de-ranking pages that don’t support mobile well in their mobile search results. Even as we move to having internet from drones, balloons or satellites everywhere we go, until we have gigabits everywhere, we need to design for lower connectivity environments.

Of course, the airlines could, on Android, offer you an APK file that you can manually install, but you have to check boxes and take security risks to do so, because the certification systems are centralized.




What if the city ran Waze and you had to obey it? Could this cure congestion?

Thu, 01 Dec 2016 23:42:54 -0800

I believe we have the potential to eliminate a major fraction of traffic congestion in the near future, using technology that exists today which will be cheap in the future. The method has been outlined by myself and others in the past, but here I offer an alternate way to explain it which may help crystallize it in people’s minds. Today many people drive almost all the time guided by their smartphone, using navigation apps like Google Maps, Apple Maps or Waze (now owned by Google.) Many have come to drive as though they were a robot under the command of the app, trusting and obeying it at every turn. Tools like these apps are even causing controversy, because in the hunt for the quickest trip, they are often finding creative routes that bypass congested major roads for local streets that used to be lightly used. Put simply, the answer to traffic congestion might be, “What if you, by law, had to obey your navigation app at rush hour?” To be more specific, what if the cities and towns that own the streets handed out reservations for routes on those streets to you via those apps, and your navigation app directed you down them? And what if the cities made sure there were never more cars put on a piece of road than it had capacity to handle? (The city would not literally run Waze, it would hand out route reservations to it, and it would still do the UI and be a private company.) The value is huge. Estimates suggest congestion costs around 160 billion dollars per year in the USA, including 3 billion gallons of fuel and 42 hours of time for every driver. Roughly quadruple that for the world. Road metering actually works This approach would exploit one principle in road management that’s been most effective in reducing congestion, namely road metering. The majority of traffic congestion is caused, no surprise, by excess traffic — more cars trying to use a stretch of road than it has the capacity to handle. There are other things that cause congestion — accidents, gridlock and irrational driver behaviour, but even these only cause traffic jams when the road is near or over capacity. Today, in many cities, highway metering is keeping the highways flowing far better than they used to. When highways stall, the metering lights stop cars from entering the freeway as fast as they want. You get frustrated waiting at the metering light but the reward is you eventually get on a freeway that’s not as badly overloaded. Another type of metering is called congestion pricing. Pioneered in Singapore, these systems place a toll on driving in the most congested areas, typically the downtown cores at rush hour. They are also used in London, Milan, Stockholm and some smaller towns, but have never caught on in many other areas for political reasons. Congestion charging can easily be viewed as allocating the roads to the rich when they were paid for by everybody’s taxes. A third successful metering system is the High-occupancy toll lane. HOT lanes take carpool lanes that are being underutilized, and let drivers pay a market-based price to use them solo. The price is set to bring in just enough solo drivers to avoid wasting the spare capacity of the lane without overloading it. Taking those solo drivers out of the other lanes improves their flow as well. While not every city will admit it, carpool lanes themselves have not been a success. 90% of the carpools in them are families or others who would have carpooled anyway. The 10% “induced” carpools are great, but if the carpool lane only runs at 50%[...]



The Electoral College: Good, bad or Trump trumper, and how to abolish it if you want

Thu, 01 Dec 2016 11:49:59 -0800

Many are writing about the Electoral college. Can it still prevent Trump’s election, and should it be abolished? Like almost everybody, I have much to say about the US election results. The core will come later — including an article I was preparing long before the election but whose conclusions don’t change much because of the result, since Trump getting 46.4% is not (outside of the result) any more surprising than Trump getting 44% like we expected. But for now, since I have written about the college before, let me consider the debate around it. By now, most people are aware that the President is not elected Nov 8th, but rather by the electors around Dec 19. The electors are chosen by their states, based on popular vote. In almost all states all electors are from the party that won the popular vote in a “winner takes all,” but in a couple small ones they are distributed. In about half the states, the electors are bound by law to vote for the candidate who won the popular vote in that state. In other states they are party loyalists but technically free. Some “faithless” electors have voted differently, but it’s very rare. I’m rather saddened by the call by many Democrats to push for electors to be faithless, as well as calls at this exact time to abolish the college. There are arguments to abolish the college, but the calls today are ridiculously partisan, and thus foolish. I suspect that very few of those shouting to abolish the college would be shouting that if Trump had won the popular vote and lost the college (which was less likely but still possible.) In one of Trump’s clever moves, he declared that he would not trust the final results (if he lost) and this tricked his opponents into getting very critical of the audacity of saying such a thing. This makes it much harder for Democrats to now declare the results are wrong and should be reversed. The college approach — where the people don’t directly choose their leader — is not that uncommon in the world. In my country, and in most of the British parliamentary democracies, we are quite used to it. In fact, the Prime Minister’s name doesn’t even appear on our ballots as a fiction the way it does in the USA. We elect MPs, voting for them mostly (but not entirely) on party lines, and the parties have told us in advance who they will name as PM. (They can replace their leader after if they want, but by convention, not rule, another election happens not long after.) In these systems it’s quite likely that a party will win a majority of seats without winning the popular vote. In fact, it happens a lot of the time. That’s because in the rest of the world there are more than 2 parties, and no party wins the popular vote. But it’s also possible for the party that came 2nd in the popular vote to form the government, sometimes with a majority, and sometimes in an alliance. Origins of the college When the college was created, the framers were not expecting popular votes at all. They didn’t think that the common people (by which they meant wealthy white males) would be that good at selecting the President. In the days before mass media allowed every voter to actually see the candidates, one can understand this. The system technically just lets each state pick its electors, and they thought the governor or state house would do it. Later, states started having popular votes (again only of land owning white males) to pick the electors. They did revise [...]



Comma One goes Open Source, Robocars in New Zealand Earthquakes and more

Wed, 30 Nov 2016 14:25:06 -0800

There have been few postings this month since I took the time to enjoy a holiday in New Zealand around speaking at the SingularityU New Zealand summit in Christchurch. The night before the summit, we enjoyed a 7.8 earthquake not so far from Christchurch, whose downtown was over 2/3 demolished after quakes in 2010 and 2011. On the 11th floor of the hotel, it was a disturbing nailbiter of swaying back and forth for over 2 minutes — but of course swaying is what the building is supposed to do; that means it’s working. The shocks were rolling, not violent, and in fact we got more violent jolts from aftershocks a week later when we went to Picton. While driving around that region, we encountered this classic earthquake scene on the road: There were many like this, and in fact the main highway of the South Island was destroyed long-term not too far away, cutting off several towns. A scene like this makes you wonder just what a robocar would do in such situations. I already answered this question in a blog post on how to handle a tsunami. Fortunately there was only a mild tsunami for this quake. A tsunami will result in a warning in the rich world, and the car will know the elevation map of the roads and know how to get to high ground. In some places, like Japan,t here is also an advanced earthquake warning system that tells you quakes are coming well before they hit you, since electrons go much faster than seismic waves. With such a system, robocars should receive a warning and come to a stop unless they need to evacuate a tsunami zone. Without such a warning, we still could imagine the road cracking and collapsing in front of you as might have happened on this road. Of course the cones and signs that warned me days later would not be present. The answer again lies in the fact that pictures like mine will be used to create situations like this in simulator, and all car developers will be able to test their systems with simulated quake damage to make sure they do the right thing. I’ve spoken since 2010 on the value of a shared simulator environment and I think if government agencies like NHTSA want to really help development, providing funding and tools for such an environment would be a good step. NHTSA’s proposal that all developers share their logs of all incidents would clearly make such a simulator better, but there is pushback because of the proprietary value of those logs. When it comes to strange situations like earthquakes, I doubt there would be much pushback on having an open and shared simulator environment. New Zealand’s government is taking a very welcoming approach to robocars. They are not regulating for a while, and have invited developers to come and test. They have even said it’s OK to test unmanned vehicles under some fairly simple rules. NZ does not have any auto industry, and of course it’s quite remote, but we’ll see if they can attract developers to come test. Their roads feature something you don’t see much in the USA — tons and tons of one-lane bridges and other one-lane stretches of highway. Turns out that robocars, with a little bit of communication, can make very superhumanly efficient use of one-lane two-way roads, and it might be worth exploring. Open Source Comma One box Speaking of Open, today Comma.ai, which previously had declared they were giving up on their neural network autopilot due to NHTSA threats today announced they have open sourced their software, along with hardware designs and case [...]