Google has reportedly stopped developing its own self-driving car
techcrunch.com
techcrunch.com
A test bed for a platform that real car manufacturers can implement in their vehicle line-ups. I believe that's why you don't see controls in the prototype. It's unnecessary engineering R&D for what they are really focused on.
The R&D is prohibitively expensive and outside of the capabilities for many car makers.
I see Google and Apple selling to the Mazda's & Nissan's of the world. They focus on what they do well, Google works on the SDC backend.
And they get to learn more about us, where we go, who we meet, what we say.
I'm looking forward to seeing how this plays out. Are cars going to be (even more) commoditised at the low end and differentiated by the platform on top of it (Apple, Google, Tesla) in the same way phone carriers were commoditised by the iPhone? My gut is that they won't (industrial design is a huge part of choosing a car manufacturer), so the dynamics between platform and carrier (Toyota, Fiat Chrysler, etc) are going to be fascinating to see unfold. The traditional car industry moves at such a glacial pace, yet you have two tech titans ceding a lot of control to them.
Of course, you then have the "apps" that will run on top of them, like Uber. How they interplay with it all is another dimension too. Tesla has fired the first shot here by restricting usage of non-Tesla car pooling services. It is a worrying thought to think that buying a BMW might mean I'm locked into only renting out my car through Apple-approved car riding services (and while I can't see Apple creating their own car pooling service, never say never).
Tesla seems to be the only player doing the entire stack from top to bottom. Very reminiscent of early Apple.
That said I would still prefer to have a hands-on option with my car. Driving around an unfamiliar neighborhood looking for someplace to eat or maybe house hunting are examples of when you can't just pick a destination ahead of time. You want to drive slowly and decide where to go turn-by-turn.
What I'm getting at is that there seems to be a lack of critical thinking about the potential negatives of self driving cars. We know for example that transit by car is extremely price elastic, and it is easy to infer that a self driving car imposes a very low cost on drivers, so we should expect trips by car to increase if cars are self driving. Is this good or bad? Its hard to say. But we do know that more car trips increase demand for roads. Is this good or bad? If all self driving cars are going to and from similar locations, eg exurbs to job centers, will congestion decrease? If one no longer suffers the penalty of having to drive in congestion, will more people voluntarily sit in traffic, thereby saturating infrastructure?
You mean like a Volvo ;)
Self driving cars as a service are much better deal for the consumer. And they'll be more commoditized[1], same as taxis are, from the consumer perspective. On the other hand, building the car with the highest reliability , and the lowest cost of operation , is a hard challenge.
But: if electric cars are going to win, cars may become mostly batteries on wheels, so a lot of power will go to the battery companies, maybe even to the point they'll build the cars(like Samsung is working on).
And about Tesla: a lot of it's value is about brand. cars as a service kill branding(if everybody transports with a Tesla,it's nothing special) . Maybe that's one reason why they don't want their vehicle as a service.
[1]One thing i'm curious about : is taxi sharing realistic in a world of self-driven cars ? one guess: to make it viable, someone would have to build cars that are both shareable, but offer privacy for each of the passengers. And actually, this doesn't require self-driving to offer great value, so i wonder why aren't we seeing work on this?
I drive for Uber part time and the majority of riders do choose the POOL option so I think you're wrong here.
The market exists for both though. It's a smart move to offer this option. It's more energy economical and fiscally responsible. There's certainly even people who have the time but not the money.
Second time was also a 'pool' with no additional riders, so it was a happy accident for a cheaper ride. Perhaps people bet on that as well?
It's fundamentally silly for millions of commuters to each travel in their own car, and robot cars aren't going to fix that. Buses make massively more efficient use of road space (when they're reasonably full, anyway).
Robot cars should reduce accidents, and parking problems will go away, but they won't magically reduce congestion on commuter routes. But car-pooling will.
Imagine an existing excellent bus network, like London's, but with completely dynamic routes, and a variety of bus sizes suitable for different times of day. Open the app and tell it where you're going, and it tells you which bus stop and bus number you need.
Maybe, maybe not. Small one-person "pod" cars that link up into road trains automatically are also a possibility, and have basically the same benefit for congestion as sharing without actually sharing the same pod.
It would be a big R&D problem to make it work at all. Even if it worked, is a train like that really going to be as efficient as a bus? And finally, even if those obstacles are overcome, it seems like everyone has to buy the same model (or at least compatible models, and who's going to make that happen?) to get decent economies of scale.
On the other hand -- in-flight refueling is a kind of similar problem that sounds similarly unlikely, but actually works!
On the other other hand, that's a very specialized (and I'm guessing very expensive) system that isn't used by commercial airlines. I think pod-trains will go roughly the same way.
The type of sharing you are writing about is not what the comment I was replying to was writing about.
I agree FWIW and I think you'll see CaaS co-operatives start up.
That's assuming that autonomous cars as a product (rather than a service) enter the free market at all.
By working with existing car manufacturers, they can focus on their part of the deal (the technology) and let someone who knows about designing, building and selling cars do the rest of the job.
Safety is a part of this, too.
Google has ~10 years of experience in self-driving cars. They also have acquired many robotics companies. Surely, they know this.
[edit: reorder]
Really I think Google loses steam very easily when key people leave the team. I don't believe they have the mgmt infrastructure to keep the ball rolling when people get bored, run into hurdles, etc....
Some of this is undoubtedly belt-tightening, but it's a lot easier to ax a specific project when it had a few fervent advocates who are no longer around. I'd be surprised if this wasn't a factor in the high project churn Google is known for.
It's possible Google will want to acquire one of the car companies to full do vertical integration. But that is not entirely necessary right now.
And given the whole complex regulatory and distribution constraints in the marketplace for automobiles it's good to have a partnership with a car company who has years of experience dealing with those issues.
Google is first and foremost an Internet Search Advertising company, so far it has been the thing keeping the lights on. I expect that if it had felt it could make the transition into self driving car company it would have. But it helps to remember a little bit of history here.
Google was, for the most part, the very first company of significant size to invest in self driving cars. They did that at the behest of Sebastian Thrun who was working there. It made some big headlines and it certainly added to Google's "glow" as a place where the future was happening. And then it ran into the sludge that is Google's inability to actually make "products" that aren't a web page. And as it did people started slipping away, first Sebastian, then Chris, then a big exit to what was Otto, Etc.
While Google was sitting in that quagmire of their inability to execute on a product vision, Tesla came in, announced auto pilot, deployed autopilot, updated it to do many of the things Google could actually do, announced self drive, deployed the hardware for self drive. Basically all executing on a product strategy while Google argued internally about whether or not their "car" should have a steering wheel or not.
What I've read in the news so far it sounds like Google is spinning off what is left of that group as Waymo (that seems like it is a sort of PIP for groups at Google) and trying to sell it off to someone.
I left in 2010 and the self driving car group was about a year old (and I tried to join it but they turned me down :-() Here it is 2016 so 7 years of development. A number of actual vehicles were produced, a number of cars were modified, I'm guessing there were about 150 people in the group at its peak. Just doing back of the envelope conversations for that group I'm guessing Google invested at least $300M in the effort. And now its scrap.
I appreciate that it is a really hard problem, and I appreciate that it was pretty far off Google's expertise spectrum. I also appreciate that they take "big bets" even when they fail. But given where Tesla is, and where they are, I worry that even if one of their big bets is a "winner", Google won't be able to execute on it. Just like Xerox couldn't execute on the personal computer and GM on electric cars. Once you get to be too big to win, what do you do?
(Yes, props to Tesla. They did it. Well... mostly, at least, but it's at least a reasonable guess they're on a success trajectory. It's still a hard problem.)
It would probably be easier for Google to manufacture their own computing hardware from scratch, and as far as I know, they don't do that. Yes, they get it customized because they are a big customer, and they've at least dabbled in phone hardware, but even that wasn't "from scratch". I've got a 2013 Nexus tablet, and it's got all sorts of things in it that aren't from Google.
As big as Google may be, they are not infinitely big, and they have the paradoxical problem of being too successful to take on every little business. Large profitable businesses can't economically afford to take on new businesses that are significantly less profitable than their current businesses, because the rational business decision then is to reallocate the resources being given to the unprofitable sub-business and give them to the profitable sub-business to make more profits. [1] The car industry is very hit-driven due to the need to sell enough cars to overcome massive fixed costs, but even at in their most profitable years I'm not sure the car companies came even close to Google's profitability. I'm not taking the time to look that claim up, because I'm sure that even if they did, they never did it year after year after year the way Google has.
[1] Obviously I'm simplifying a complex thing here. I understand that's a complicated topic, but details would be an unimportant-to-my-point waste of time for all.
Whoa there, isn't that completely backwards? Who can afford to invest in new businesses if not large, profitable companies?
because the rational business decision then is to reallocate the resources being given to the unprofitable sub-business and give them to the profitable sub-business to make more profits. [...] Obviously I'm simplifying a complex thing here. I understand that's a complicated topic, but details would be an unimportant-to-my-point waste of time for all.
(Edit to add: I think that apparent paradox is easily resolved by thinking in terms of long-term versus short-term investment.)
I agree there are complications, but fundamentally, big profitable companies are the ones which have spare resources to invest.
One problem is company culture and skill sets, and the difficulty of ramping up in a new area, but that's why big tech companies try things like internal "startup incubators" with lots of autonomy. Amazon in particular seems really effective at expanding into new areas.
I wouldn't be surprised to see AWS get spun out as it continues to grow in the next 3-10 years, because unless the trajectory of that subbusiness changes, it threatens to become the business that is too profitable to put resources anywhere else.
I still don't buy your general point. It's true that some large companies have run into trouble because they were afraid of damaging their core product. But that's a risk everyone's aware of now -- the whole "innovator's dilemma" thing.
What's an example of a large successful company that was thereby prevented from spreading out? I don't mean companies that failed due to complacency, or overly rigid business practices, but where their size actually worked against them.
(Hmm, possibly we really mean the same thing, we're just describing it in different ways...)
To give a concrete example, imagine I have a hotel in New York generating profits of $50 mn/year. If it required an investment of $100 mn to build hotels, making another one in Atlanta that generates profits of $10 mn per year would still be sensible if these exceed the financing costs. My return on (book) assets would fall from 50% - 30% but my profits would rise from $45-50 mn.
Tax, risk and use of management time can complicate the issue but your point isn't first-order correct...
Google, paradoxically, by having such a good RoI on ads has a hard time taking on other businesses. This is a big part of why they spun so much stuff off; if they stay within Google, business forces would tend to starve them despite the abundance of resources that at first glance seem to be available. It's why you see companies so often cut product lines that are profitable, but not as profitable as something else... or, to put that another way, this isn't something I'm hypothesizing about how it might happen because of the theory, it's a thing that happens all the time. I've seen at least two major passes of it at the company I work at.
These are somewhat linked to profitability as you say, but a safe slow-growth company generating massive profits (eg Coca-Cola) doesn't face this.
The majority of components in a car are not manufactured by the car maker.
Tesla deserves plenty of accolades just for getting to the point where they are producing multiple models of vehicle that conform to or exceed modern standards of quality .
However, Tthey have only managed to build "a" luxury sedan, "a" crossover SUV, and will soon be building "a" budget-luxury sedan. The real challenge is in attaining and sustaining the pace of development maintained by the rest of the industry. The automotive industry at large keeps a rolling cycle of refreshes and replacements on a roughly 3/6 year timetable (refreshed after 3 years, replaced after 6). Some niche models (Jeep Wrangler, Mazda Miata) stay in production far longer than that average but a 3/6 cycle is also a bit too long in ultra-competitive categories such as the compact crossover segment.
This is where I see Tesla beginning to struggle as their entirely bootstrapped operation has struggled to meet deadlines. That is cause for concern as it places their current lineup at a competitive disadvantage as their competition has gone through at least 1 refresh, if not a full replacement, since the design of their most recent model (Model X) was set in stone.
The Model S design was largely set in stone by 2009, 2010 at the latest and the Model X design was mostly locked in by 2012, 2013 at the latest. It took 3 years for both of those designs to actually reach showroom floors (2012 and 2016 respectively) so while the clock hasn't run out in terms of production life, the designs themselves are beginning to become dates. I don't just mean "design" as in styling, I mean it as the all-encompassing architecture of the vehicles.
While Tesla's offerings have several unique attributes which cannot be found in any of their closest competitors, one can only push an old design for so long before it becomes completely unappealing to consumers, even when sold at break even prices. I dare say that such a scenario may be playing out with the Model S as its sales had slumped leading up to the 2016 refresh that boosted sales, yet the bump still fell short of that model's best sales quarter which occurred back in 2015. The fact is that the Model S was designed to achieve the minimum level of refinement expected of a 2010-era, $65,000 luxury sedan with the silent, powerful electric powertrain being the plan to make up for its shortcomings in the areas of ride quality and interior fit and finish. Now that ~7 years have passed, the high end, mid-size sedan offerings from mass market brands have caught up to the Model S in many areas.
The Model S may smoke a Nissan Maxima in straight line and the Maxima can't hold a candle to the silence of the Tesla's powertrain but it also costs ~$35,000. In my opinion, it also has a better finished interior and more up-to-date styling than the Model S. We can argue all day over these points but you have to admit that manufacturers like Nissan are at least getting within striking distance in certain areas with cars costing half the price. Tesla needs to seriously step up their development game lest they be left behind with woefully dates products that simply cannot be discounted enough to remain appealing.
Uber and Lyft are the WebVan of this decade.
GM/Ford Profit Margin: 9-12%
Tesla Profit Margin: 22.8%
Go where the margin is.
Which is to say, it doesn't, if you measure it right: they charge as much as they can for a car with features x/y/z; once you impute out who is making how much profit from what, you find that GM is profiting from the Onstar, and Avis is profiting from the rental service (matching cars with temporary-use customers). To the extent that Avis can rent cars at a premium with Onstar, that profit is mostly eaten by the extra price.
At no point does GM think, "Merely sell our cars to rental agencies? There go the Onstar profits!"
In just the same way, if Tesla sold cars to Uber/Lyft, they would still be the ones profiting from the SDC premium.
As for Tesla owners participating in the rideshare network: they can probably get a lot steadier renting of the car's off-hours if they have access to an established platform rather than waiting for riders to add another app that only gets rides from the few spare Teslas in the area.
I could go out today and borrow ~$100K to purchase vehicles and put them on Uber, but I'm not; I'm waiting for Tesla network to leverage up.
In any passenger car, getting in a wreck at 100 km/h or above is more than likely a fatal event. "5 Star" safety ratings and the EU equivalent are only for 30~55 km/h crashes. Granted, even highway crashes involve some braking before impact, but the faster you go the more difficult it is to slow down enough to a 'safe' speed before impact.
Besides, the sensors on cars are more than capable of driving at 150 KM/H. While they cannot "see" as far as a human, they require much less time to process what they do see.
And then you get something like the adaptive cruise control on my BMW.
The bloody thing controls like a human just learning to drive - only focusing on what's right in front of it, instead of the general road situation, and making correspondingly jerky and drastic (albeit safe) maneuvers.
I often have to look ahead for it, and turn it off when I see a situation brewing that will entice it to drive like a moron. Then I handle that situation (typically by doing essentially nothing, e.g. just coasting for a few seconds), and turn it back on.
I'm assuming you're talking about the phones themselves and not Android as an OS, but your statement is pretty sketchy. I'm no expert, but most Android phones that I'm aware of in the same price range as the iPhone are up-to-par or have superior hardware. Many carriers sell cheap Android phones as well, that are "not as good" because iPhones are expensive. So yeah, 90% of Android phones may be "not as good" as an iPhone, but Apple isn't selling new devices to the under-$500 market, and of course the cheaper phones aren't as good.
[http://www.recode.net/2016/12/7/13875208/google-x-self-drivi...]
on HN yesterday: https://news.ycombinator.com/item?id=13155600
...Alphabet's stock price is going to go higher, but the trade-off here is talent walking away. Given the HN post the other day about the CFO, I'm sure there's much more to come - google's not going to be a company where the dreamers go for much longer. Lets see how it goes...
So we're going to have cars identical to our phones and seemingly all of the same problems that come along with that system.
I am curious if there ever will be a consumer grade Google Pixel Car. There is a risk it will compete with their partners, but it could have a niche if it is intentionally undersold (for example, one or two colors at most).
Right? I was thinking exactly the same. One would think that having a car built in-house enabled them to iterate that much quicker. Then again, Google is full of smart people, so there surely is a reason behind this decision.
One would think that having a car built in-house
enabled them to iterate that much quicker.
There tends to be a pretty clear separation between the self-driving sensors and brains ('the new stuff') and the car platform ('the old stuff').As long as you're willing to have some sensors and actuators visible (i.e. you're working on a prototype rather than a consumer-ready product) there's not much technical value added from building a custom car vs modifying an existing one. Indeed, it can easily slow you down as now you have a bunch of work to do developing a new car.
The car that won the DARPA grand challenge was fairly close how it came off the production line - except for an off-the-shelf electrical actuator system developed for disabled drivers, an off-the-shelf secondary alternator to power all the sensors and computers, and a bunch of sensors bolted to the roof rack.
The reasons to build your own are business/PR rather than technical/development speed. For example they can make it look cute and unaggressive which might be good PR; or insist on a public transport style vandal proof design for an on-demand business model. These might be good reasons, but they're business reasons not technical reasons.
It goes way beyond hardware. Whoever controls the car as a platform in theory controls the services layer that would be built on top of it (ride sharing, delivery etc.) and also the captive attention of the cars' occupants outside their phone. Then there is the data that comes from a device that takes you wherever you want to go, with tons of internal and external sensors to get data on occupants (unique identification will be trivial for audio ads, etc) and their external environment.
My guess is Google sees the rather low margins of cars and would much rather focus on what is likely substantially higher margins (and far less capital outlay) on the software side which is much more closely aligned their core strength.
Catching up isn't easy, you won't be able to just reverse engineer it.
> Catching up isn't easy, you won't be able to just reverse engineer it.
No, but the California-based employees with an understanding of that system will be able to get a nice payday when they start working for a competitor.
Is there still a no politics policy on HN?
-- POLITICS BELOW-- Also it'd be interesting to see in the Age of Trump if Google would be red-taped if tries to sell the tech overseas, Trump would probably solicit bribes from the Detroit people to put up such a law.
But I think a certain amount of hubris is what's causing all these companies to take a swing and then back out once they realize what they're up against. It's not an easy nut to crack. The software in itself is incredibly complicated, not to mention the politics involved, and all the special interests you have to win over before you can even pass go. But then the fact that you need to attach it to a car means you also have to compete in one of the largest and most competitive industries that ever existed.
If they can nail "self-driving tech" as well as they've nailed search, they'll potentially earn licensing fees from all vehicles, rather than from the slice of vehicles they'd manufacture themselves (with a long, expensive learning curve ahead of producing quality vehicles).
But repeating the Android model, generously handing over software to whoever wants it so that they get a huge market share seems so much more consistent. This is Google, after all. If people can "ok Google" their car to actually take them to search results, Google's stranglehold on local business discovery will be even stronger than it is today. And on the reverse side, when it came to the point where people would "Hi Audi, take me to...", they could get quickly pushed of large parts of the search/decision market that originally emerged from web search and that they then so carefully extended to Maps, Android and voice assist. If cars become "Siri-smart", drivers won't use Google maps anymore. Seen like this, Google's self-driving endeavors suddenly appear like a forced defensive move, very much unlike the quirky billionaire's moonshot hobby vibe surrounding other parts of X.
Google's already using Maps to commoditize ride services (which will transfer to robocabs once they are on offer), so I can see them having the front and back end of that business while all the boring bits in the middle are commodities provided by others.
If I'm in a fully autonomous car, I don't want to look at a map. I want to tell my assistant where I want to go and not worry about the rest.
This would be akin to providing the answer (getting you from A to B) without the information (poking at a map).
Except if they somehow achieve a relationship with hardware companies as symbiotic as in Android smartphones. Just being a backend search provider would be a step back for Google, because that is pretty much a commodity transaction where gatekeepers can negotiate for a sizable slice of the pie (see Firefox).
Car companies likely don't want to further increase already large R&D budgets to build their own self-driving tech, so the "synergies" of doing this are excellent.
They did seem to hint that they were going to. They did invest in their own, in-house built prototypes. If you start here: https://www.google.com/selfdrivingcar/faq/#q4 , you'll see the types of partners they were talking about working with. These aren't automakers.
Regardless, Google kick-started a lot of other car makers to start developing self-driving cars or made it OK for other car makers to be more public about their efforts.
Similarly to Tesla in pushing EV's in other car makers.
Exactly! This part of Google's legacy is severely under appreciated. People were rolling their eyes when Google originally presented their plan. Amazing how quickly it went from science fiction to reality.
https://en.wikipedia.org/wiki/DARPA_Grand_Challenge
I have the feeling Google never had a real plan behind this research project. Tesla's plan is clear. Uber's plan is clear. What is / was Google's plan?
Track where everyone goes, all the time? (Except they already do this with Android GPS) Show them ads?
I agree, it seems not fully fleshed out.
But actually I believe the thing that started the project was more like "let's try to do it" just the same way they started their search engine ... for the first years they didn't have a business plan there either.
They worked on that science fiction already back then. They developed the basics for the radar back then. Without those developments and vision we had no commodity radar sensor available today.
So potentially we've gone from 0 to retail fully-automated vehicles in the same time it's taken to get VR headsets into mainstream usage. If you'd asked me to predict the timescales for these two developments I would have added a decade on to the former.
Edit: typo.
https://www.wired.com/2016/12/google-self-driving-car-waymo/...
Sounds to me like two fundamentally different ways?
Seeing as how giant cos like Apple and Google are exiting the "making" space of vehicles, is it crazy to even toy with an idea of building a vehicle that moves people?
It's ludicrous to assume Google doesn't have the power to enter the car market if it wants to, it's influence over government is legendary. It could buy off the regulatory issues, at this point.
If Google isn't entering the car market, it's because Google doesn't want to enter the car market. Likely because it's not a high margin industry.
Aside from the Ad business Google is more like Stanford than any actual business.
https://news.ycombinator.com/item?id=13165111
Also, the title is incorrect.
Whether or not there will be a first mover advantage remains to be seen. It certainly feels as if Tesla has such an advantage for the electric car market with the huge amount of pre-orders placed for the Model ≡.
So far I have only seen them working in nicely controlled environments (American suburbs or highways, nice weather, clear road markings, etc). And even then they drive slowly and awkwardly.
How will they handle the narrow roads in British towns, the unwritten right-of-way rules on Swiss mountain roads, the scooter avalanches of Vietnamese cities, the pot hole riddled streets of Russian cities, etc?
I think this is just an other case of Silicon Valley folks not realizing what's outside of their bubble.
Self-Driving cards to self-driving technology was the exact same news which was reported out of Apple "Project Titan" too. It seems to be a trend in this self-driving car space.
Is that a typo in the article or some esoteric grammar for avoiding the past participle of 'establish'?
How do you figure? Uber is currently working with Volvo on autonomous cars, and when it comes to producing safe, reliable cars that people want, in volume, I'd personally bet on Volvo over Google.
Apple and Google missed the chance to spend their piles of cash and buy either Tesla or Uber. Now it is too late. All four are going to be battling head-to-head.
I don't think Google ever (OK, in the past couple of years) really intended for self-driving cars to happen, or expected self-driving cars to happen (within a few decades).
What it was (and what Project X seems to be these days), was a great way to attract talent.
"Wanna work in a company which makes self driving cars, internet balloons, 20% time, and robots" sounds way cooler than "Wanna work in Doubleclick v.2"
Self-driving cars will roll-out to select markets within the next couple of years.
Google just doesn't want to manufacture the vehicles.
> While Google may be taking its pedal off the gas for self-driving vehicles
Is it considered OK to include obvious puns like that in a seemingly serious publication?
What's more surprising is that both Apple and Google seem to have ended up in this same place.
When my car has a problem, I want to talk directly with someone to get it fixed.
Google has ventured in that area though, just take a look at Pixel, their smartphone.
But the scale difference between developing a smartphone and a car is quite a big step. I am not that surprised though, getting into the car market is difficult and unsure. Just doing the technology part seems to make more sense imo.
When my Pixel won't start, I am a little less contactable for a while.
When my car won't start, I'm not getting to work.
The sheer drag of maintaining a network of repairers, keeping them stocked with (Sometimes huge) spare parts, managing repair times etc is astonishing. I can see why Google and Apple would want to lean on established players instead of going it alone.
If comma.ai can (sort of) create an autonomous vehicle with just a couple of employees and Tesla can go fully autonomous with a sensor suite that's 5% of the cost of Google's, how much money is there to be made for Apple and Google? Even if the quality of their self-driving setup is 10x better, they will have a hard time selling it.
Even if I am wrong and the tech breakthrough will not happen, I think the economies of scale that kick in for the large-spread usage of Google's approach would make it competitive enough.
I, personally, believe that Tesla's approach for full autonomy is insufficient.
All the more, I think Tesla's functionality will not lead to Level 4 autonomy within the next decade because fo a false-start approach.
As geohot discovered, cars are sold to consumers only after they are sold to regulators. Tesla understands this, but if someone else builds a safer car, incumbents' experience may be rendered academic.
Keep in mind the NHTSA safety statistics you frequently see quoted are for the entire car population on the road, with a significant portion of 10-15 year old cars which are less safe than new cars. Even 25 year old cars without crumple zones and airbags is something you see on the road every single day.
Those have to do with fatality rates, not accident rates(1 accident per 250,000 miles).
>> statistically significant 10% safety increase For a sample size of a million cars , each year is 15 Billion miles, i.e. 60,000 accidents per year, vs 54000 accidents per year is statistcally significant.
If you switch to measuring "accidents", two big concerns pop up: 1) who defines what an accident is? and 2) if we get autonomous cars that end up in less minor accidents but same or more number of fatalities, is it really worth it?
We could extend it to "fatalities and accidents where someone is left permanently disabled", which is pretty unambiguous and does measure the most important factors. But I'm afraid (or rather, glad) that this won't give you an orders-of-magnitude increase in statistical samples as you get when counting all accidents.
Google has been pursuing partnerships with car makers for years, so I'm not sure what part of this report from The Information even counts as news.
Google will presumably announce formally their strategy for spinning Chauffeur off into an independent, revenue generating Alphabet subsidiary in just a few hours, sometime later this morning.
It's dead. That's how they talk when they kill a product but don't want to say that.
Which doesn't surprise me in the slightest. I suspect a self driving car, on city streets, without general AI, is impossible.
It'll only work on prepared, limited access roads (like highways).
Next step: Instrument highways for self driving cars.
In-City self-driving cars is dead.
Or take the traffic-sign recognition systems. Seems easy, right? Not so fast. All the systems I tried made a lot of severe mistakes. For example sometimes they were thinking speed limit signs painted on the back of trucks or buses were real ones. Or they struggled when they saw too many signs or signs partially covered by something else.
Recently I watched a test of a semi-autonomous Mercedes S500 in a typical big-city traffic. During a 10 minute test-drive it managed to "unconciously" change the lane and drive 2 lanes for some time. And also it would have passed a crossing on a red light, if the operator didn't intervene. Nice try, but the car industry is still very far from making fully autonomous driving a reality.
We must let go delusional thinking that with current AI we can safely throw autonomous car in a dense urban area.
Using autonomous car to improve mobility in rural area (eg. for elders people) would prove much more applicable as a paid service and complemental to public transportation.
But if mainstream geeks and investors keep dreaming about K2000 they will be deceived by current AI.
Given the capability which Tesla currently demonstrates, it seems extreme to call the idea of full autonomy with current AI technologies delusional. With their current progress, full autonomy in production seems reasonable within a few years.
As for capability and reasonable aspect, I will be much more interested in reading post-mortem reports of the fatal crash under a truck by road safety organizations when (and if) they come out...
Distinguishing verifiable facts from marketing is actually important...
It's not an end to end trip.
The cars are also unable to handle unexpected changes in traffic lights, or road signage.
They are very very far from being able to drive entirely independently.
Compare revenue and net income:
https://finance.yahoo.com/quote/F/key-statistics https://finance.yahoo.com/quote/GOOG/key-statistics
Alphabet makes $19.07 billion of net income on $85.54 billion of revenues.
Ford makes $7.25 billion of net income on $153.4 billion of revenues.
Someone (I think Jeremy Clarkson) has compared cars to horses. Horses used to be just utility animals, mistreated, etc. With the advent of cars they became sport and leisure animals, well-treated and owned only by rich people. Manual driving cars will probably still exist, but for sport and leisure, and just like horses, confined to racetracks.
If I were Google (if they seriously want to consider getting into manufacturing their own products) I would look into starting a chain of junk yards and refineries.
Building electrical cars removes some of the difference because the traditional drive train is a large chunk of engineering. (Hint, China can't design good engines yet, so they are buying companies with people that do.)
If I remember correctly ABB patched together a electric drive train technology demo car 20+ years ago including a drive by wire system with electric steering and brakes. They probably mostly did it to show off their high voltage pmm controllers.