I highly recommend everyone try it out if you're in SF. It's an incredibly smooth and sure ride. The cars are really nice too (Jaguar I-Pace electric cars), clean and spacious.
The first time you ride in one, it feels truly sci-fi. But within 5 minutes, you're almost bored of it - that's how good it is. If I had to choose between an Uber of questionable cleanliness and driver temperament and a Waymo with a slightly longer wait and slightly more fare, I'd choose the Waymo every time.
(I have no affiliation with Waymo, Google or any related industry - it's just an amazing service!)
I love how we've gone from "Taxis are gross and dirty, that's why I love Uber!" to"Ubers are gross and dirty, that's why I love Waymo!" in the span of 5 years.
What do you think comes next? These cars are literally unsupervised.
Unsupervised in what sense? There's internal cameras that are periodically checked. Weight and seatbelt sensors that give alerts if a passenger is or puts objects in the drivers seat, or if too many individuals get in the car.
I'd be shocked if a similar or greater level of observability doesn't also exist outside the car.
Uber started as off duty black car drivers doing gig work. Those were the default right? The random guy with a car gig was rolled out as uberx later?
But I'm completely with you on the unsupervised part. People doing all sorts of things back there that an ML might not identify. Now if they hire an army remotely to monitor, I guess that could scale because of wage disparities.
Well it's because as Uber expanded and had to desperately fight for its margins, it started to lower its standards for UberX. Before, cars had to be fairly new and in a relatively good condition. Now it's no longer the case.
You have ID of who was in the car and when, and a 'report' button in the app for the next passenger. Easy enough, if something is reported you have the choice to wait for the next one while the trashed car goes to be cleaned or ride anyway at a discount if you solve it yourself - e.g: put the trash in a bag in the boot of the car. After N reports attributed to you, you get banned.
I got access to Waymo in LA a few weeks ago and have taken it 4 times. It's capabilities are impressive for sure, but I'm not sure I'd go as far as "smooth and sure ride". The car's skills seems to vary between impressive and "nervous new driver". It drives like someone that got randomly stuck into a much bigger car than they are used to.
When I rode in one, admittedly a long time ago when cruise was still operating in sf too, the waymo car pulled over for a firetruck. However, the firetruck was merely crossing the road we were on and it was 3 streets away. And the waymo pulled into a bus stop to do this. The safety driver had to nudge it back into traffic.
took two waymo rides in SF and two nightmare cab rides in SF and memphis in the last couple of days.
one waymo was perfect, the other ran a red light then stopped in the intersection diagonally across two lanes of traffic until the light turned green. didn't endanger anyone but felt awkward!
on the cab ride to SFO my driver kept falling asleep and veering into the next lane, i tried talking with him to keep him awake but it was clear he'd been driving all morning and was exhausted.
the cab ride from memphis international was interesting, the cab was falling apart, driver was nice but he tried to convert me to christianity for the last ten minutes of the ride.
the waymos will end up safer but totally devoid of character.
The possibility of "character" is always my biggest dread when getting into a taxi or an Uber.
I just want to get from point A to point B without having to make small talk or delicately navigate a political discussion with a stranger. A stranger who both controls the vehicle and, in the case of Uber/Lyft, will be giving me a rating at the end of the ride.
From my (hopefully) neutral point of view I think Waymo running a red traffic light is the worst of all and most likely will end up in a disaster.
For huge metropolitan cities for examples London, Istanbul, Delhi, Tokyo, Jakarta or Sao Paulo running a red traffic with a car can most probably cause fatal accidents. I am now more than convinced that level 5 autonomous driving cannot be achieved in my lifetime, and much better efforts should be better directed toward non-invasive highly accurate early detection of high mortality diseases like CVDs and efforts for properly mitigating climate changes.
I wonder if the cleanliness will be maintained over time? Presumably this requires humans to physically clean periodically, and it seems like this would suffer when the company starts to squeeze costs to improve margins.
The biggest problem with cleaning is that compared to Uber where there's a human driver, the autonomy factor will almost certainly lead to more people fucking shit up simply because they can. Look at anything else that goes unattended in the public way: ebikes, delivery bot things, scooters... nasty combo of "I want to fuck with The Man" and "haha nobody is here watching I don't need to be as careful with my messy sandwich"
I imagine the cars all head to some centralized location for cleaning and whatever other maintenance. That probably makes cleaning a very economic, factory-like procedure. Beats something like Uber where drivers have to bring their cars to a car wash or whatever (although presumably the Uber drivers aren't being paid to wash the cars because they aren't employees, so the unpaid labor there gives Uber an advantage).
I wonder if they'd ever offer riders a discount for taking trash out that was left behind by other riders. They could even include a vacuum and give people a couple bucks off for cleaning it out during/after their ride.
I think eventually they’ll just make a car (like Zooks is) without all the messy crud (steering wheel etc) and with fixed, waterproof seats and such. It will be designed for automatic cleaned by driving into a depot and being hosed down.
> Presumably this requires humans to physically clean periodically.
That's a good robotics project. All the cars are the same. The cars do not have any objects inside that belong to the occupants and should stay. So robotic interior vacuuming could be quite practical, as a station in the car wash. A vision system can inspect for damage and route that car to the maintenance line.
So smooth they apparently opt to blow red lights instead of stopping abruptly.
source: I commute by skateboard in SF daily. Just yesterday an empty Waymo cruised straight through a fresh red, narrowly missing my entry into the crosswalk.
But don't get me started on what I've seen human drivers do on the same streets. Just annoyed that Waymo's aren't better.
Competing anecdata: Yesterday I was running downtown and a Waymo stopped for me at a green light because it wasn't sure if I was gonna jaywalk (jayrun?). Only once I stood still for a few seconds did it continue to make its turn.
This was in a turn-left-only intersection with a separate pedestrian light. Maybe the Waymo got confused and thought I also had green.
> So smooth they apparently opt to blow red lights instead of stopping abruptly.
Surprised traffic lights aren't updated to communicate with cars directly. Why not have traffic lights broadcast 'stop' message along with turning red?
I suspect traffic lights, roads and cities will have to be updated to work with driverless cars.
Have also nearly been hit as a pedestrian by a Waymo. I also last week saw a Waymo blow through a yellow-red very aggressively, so I think the downvotes on above comment are intensely biased.
I’d say the same, maybe. But yesterday I had an Uber with a guy that had a degree in history and a love for SF lore, and told me about the tomb of Starr King, and then I went on a quest to find it with my friend. Just saying that there’s magic out there that’s not technological.
> Just saying that there’s magic out there that’s not technological.
Dark magic too, I've been on one too many rides where the driver insists on monologuing on topics that range from detestable (politics) to alarming (the driver was armed, and had picked me up from the airport)
Yeah, I've ridden with two cool drivers with history degrees, one jazz musician from Ethiopia, and one who I'd already met elsewhere. Zero interest in riding in a Waymo. (Disclaimer: Alphabet shareholder)
Personally I dont understand why they went with Jaguars. I wish they had gone with Hondas and struck a deal with them to integrate their level 3 Autonomous tech as it is the most advanced in the industry.
They're worth trying once, but they're not ready to replace Lyft/Uber. The cost is similar or sometimes even more for Waymo, and the trip often takes longer thanks to the car's skittishness. The ride length estimates are also quite optimistic which can lead to arriving later than one intends. I don't see a real compelling reason to keep using them.
Is there any kind of limit to them besides the geofence? Can you get a Waymo at night? In the rain? I suppose it never snows there. How about roadworks? How do they react to vehicles with emergency signals? Can they follow directions of a cop in the street?
While they pick up in almost every location the drop off is sometimes "close by" like 3min walk to final destination (the app tells you in advance tho so you can decide to order or not). This is quite annoying sometimes and I picked uber instead.
Potentially. But, with each driver exercising quality control over their own vehicles, the actual result will likely vary from hitting as good or better a standard to being worse. The Waymo standards, thus far, are pretty high, so I would expect on average Uber/Lyft/Etc. would fair worse on average.
Why deal with real people when we can plug ourselves into the matrix? Until we get so bored that we ask the matrix to create fake people for us to interact with.
Because of safety concerns or because you like the idea that in principle humans should be driving?
In other words, what kind of safety metrics do you think would be necessary to change your mind?
If in N years 90% of your peers use self-driving cars, and the only accidents you hear about are in the news about people you don't know, would that change your feelings about safety?
Another comment, another thread mentioned that Waymo requires more walking than an equivalent Uber ride - to the pickup location, from the drop-off location. Anyone know why this might be true?
I'll hazard a guess: because Uber drivers are sometimes willing to stop for a minute in an illegal spot to park to do a quick pick up or drop off, and Waymos are never willing to do that (presumably).
Fwiw there is a checkbox if you want to absolutely minimize walking. It'll often do things like drive around the block so you don't have to cross the street yourself.
One thing I actually think is really cool about the Waymo ux (full disclosure, I work for Google but not Waymo) is how it elevates the pickup/dropoff locations to feel like more of a first class feature (compared to just typing in an address and your Uber driver dropping you off in the general area).
I don't think I've ever had to walk more than 30 feet to a pickup location, but I have had it drop me off at the nearest cross street (usually on streets where it would've had to double park in front of my exact drop-off location)
Human taxi drivers are okay parking illegally to do pick-ups/drop-offs, and we as a society usually tolerate that, as long as they're quick about it.
But Waymo probably isn't comfortable telling its cars to park in many illegal parts of streets, even if it's going to be quick. Partially because determining which illegal parking jobs are socially acceptable vs unacceptable is a hard determination for a robot to make.
I definitely would not want to be a beta tester of this software. I know too well how the sausage is made, I guess.
We are way too aggressive with allowing self-driving cars on our roads. Companies are incapable of building a toaster without bugs, our banking apps are a burning garbage dumpster fire, and yet we somehow think it will be different this time?
Living here for the last 10 years, it's been jarring how just in the last few years, driverless taxis went from "it'll never happen" to "is this the default now?"
The Waymos are genuinely good drivers. I look forward to taking them every time.
One thing that really impressed me about riding Waymo is that when you start to open the door, it'll give really good warnings if you're potentially opening the door into traffic. Even specifying if there's a passing car/bike/scooter
I don’t look forward to taking them and choose other drivers, mostly because the price and wait time dynamics are a little funny, but I am glad I did take a ride or two. They’re much better drivers in the sense of “not interested in pushing any limits.” They navigated around a parked truck effectively, queueing and waiting their turn to go into the opposing lane behind some other cars. The perception display of surrounding people and cars was very comforting. My only moment of fear was a sudden stop because a wrong-way bicyclist had lurched out into traffic — that’d happen with any driver, unless we hit the guy. Yeah, I guess you can cone them, they’re that conservative of drivers.
It’s clear that they’re not the cars for me to worry about out there on a bike / on foot / etc.
This makes me wonder why this shouldn't become the default mode of public transport — i.e., subsidized by the local govt in the same way as busses/trolleys. It seems they could actually replace the busses and provide better service with a sufficient inventory of cars. Could even provide Waymo-style vans on regular++ routes, with the "++" being ability to divert to nearby residences, especially for the mobility-impaired.
It's us in the EU who are having the sacrifice though. As we're left behind economically and technologically as a load of octogenarian bureaucrats decide to ban genetic engineering, AI, etc.
If you could rent/purchase a vehicle without a steering wheel, would you not want there to be someone available who can help out when the system runs into trouble?
As long as there is no driver in the car, does it matter how it drives? Is that not just an irrelevant implementation detail that has no bearing on your passenger experience?
Where did you get this information? There are definitely people ready to respond to any requests from the car or passenger when they come up, but I've never read anything to indicate that each ride is actively monitored by a person.
- Elon (and his pro-analysts) heavily weight the future of the co's valuation on their ability to deploy a taxi network and has been promising it just around corner for years
- Alphabet via Waymo seems to have "solved" robotaxis for city-proximity driving and has deployed as a business.
Beyond the obvious "reality distortion field" argument is Tesla actually in a position to win here due to their manufacturing capability / current deployment of Tesla's?
The only selling point of FSD (Supervised) is that it (can) work "everywhere." This is because it only relies on navigation information and what the car can see.
Waymo and similar companies all use HD Mapping. Ignoring the specifics, it can be thought of as a centimeter-level perfect reconstruction of the environment, including additional metadata such as slopes, exact lane positions, road markings, barriers, traffic signs, and much more.
HD Mapping is great when it's accurate and available. But it requires a ton of data and constant updating, or the car will get "lost," and realistically will never be implemented in general, at best in certain cities.
Reliance on HD Mapping gets you to "robotaxis" quicker and easier, but it doesn't and likely cannot scale.
It remains to be seen if Tesla can generalize FSD enough to reach the same level as HD Mapping everywhere. Still, they have shown that the current limiting factor is not what the car sees or knows but what it does with that information. It is unclear how or why HD mapping would help them at that point.
> HD Mapping is great when it's accurate and available. But it requires a ton of data and constant updating, or the car will get "lost," and realistically will never be implemented in general, at best in certain cities.
Waymo have said time and again they don’t rely on maps being 100% accurate to be able to drive. It's one of the key assumptions of the system. They use it as prior knowledge to aid in decision making. If they got "lost" whenever there was a road change, they wouldn't be successfully navigating construction zones in San Francisco as we've seen in many videos.
> Reliance on HD Mapping gets you to "robotaxis" quicker and easier, but it doesn't and likely cannot scale.
If you can make the unit economics work for a large quantity of individual cars, mapping is a small fixed cost.
I agree that it's not economical to map every city and road in the US, since you need to generate revenue from every mapped road and city. So you can think of HD maps as amounting to building roads. They will be built in lucrative places. Cruise and Waymo won't make money from putting taxis in nowhere Arkansas, so they don't need to map it.
> the current limiting factor is not what the car sees or knows but what it does with that information. It is unclear how or why HD mapping would help them at that point.
That's simply untrue. All the hard stuff continues to be reliability and sensor gated. Cruise and Waymo have amazing sensors and even they struggle with sensor range, sensor reliability, model performance on tail cases, etc. For example, at night these cars typically do not have IR or Thermal sensing. They are relying on the limited dynamic range of their cameras + active illumination + hoping laser gets enough points / your object is reflective enough. Laser perception also hits limits when lasers shine on small objects (think: skinny railroad arm). Cars also have limits with regard to interpreting written signs, which is a big part of driving.
Occlusions are still public enemy #1. Waymo killed a dog. Cruise crashed into a fire truck coming out of a blind intersection even though their sensors saw the truck within 100ms.
LiDAR and HD mapping together are supremely useful, even if you don't drive with it, for enabling you to simulate accurately. You cannot simulate reliably while guessing at distances and locations. HD maps let you use visual odometry to localize, and distance measurements grounded in physics backstop the realism of your simulation at least in terms of the world's shape.
Tesla lacks the ability to resim counterfactuals with confidence since they don't have HD ground truth. There are believers at the company that maybe you could make "good enough" ground truth from imagery alone but that in and of itself is a huge risk, and it's what skipping steps looks like. Most in the industry agree that barring a major change in strategy they just have no way to regression test their software to the level of reliability required for L4 / no human supervision.
> The only selling point of FSD (Supervised) is that it (can) work "everywhere."
I seem to recall Musk saying in the last couple years that "full self driving will basically require AGI." This appeared to me to be extremely honest and accurate, though I believe that in the moment he was trying to promote the idea that Tesla was an AGI company.
I guess the cars can and will update the mapping in real time ?
> at best in certain cities
If mapping a city is possible, so it's mapping a highway, even easier.
If cars do update the maps themselves, they require might just a couple of human-driven passes of the standard WWaymo cars on a highway to generate the maps.
The obvious question here is "why not both". Use mapping data where you can, LIDAR and other sensors where you can, and visual cameras when you must. There's no reason to limit yourself to just one input type. Elon claims that, sure, but it doesn't seem like a given at all.
1. Robotaxi is a better target than general self-driving because the human baseline is much lower for robotaxis (most people dislike their experience with uber, while most people think that they are a better-than-average driver)
2. Google took the high road on safety. The move-slow-and-dont-break-things DNA of Google (that hurts them in so many domains) is a golden asset in self-driving.
Tbh I love my experience with Uber. I know people who don't own a car because they think it's cheaper to use Uber. But you're right - I am an above-average driver.
I'm typically very skeptical of Tesla's strategy here, but to play devil's advocate for a moment:
Waymo has shown they can make robotaxis work, but the big catch so far is that it takes them a long time to open in a new city. They have several phases before they open fully, from what I've seen it seems to be: safety driver no passenger testing, safety drivers with employee passengers, driverless with employee passengers, limited rollout to paid passengers under NDA, wider rollout but with waitlist, and finally getting rid of the waitlist.
This means that hitting even all the major metro areas in just the US is going to take them a long time, let alone the rest of the world (or at least developed world). That does give Tesla some time to potentially catch up, since they don't seem to be bounded by geography in the same way.
Now, that said, I personally don't think Tesla's strategy is workable except maybe the very long term. Doing this with only vision seems like taking something that was already enormously challenging and making it nearly impossible instead. Their slow progress and inability to get their cars to avoid even basic errors frequently, despite near a decade of development now, I think points to this strategy just being bad.
> They have several phases before they open fully: safety driver no passenger testing, safety drivers with employee passengers, driverless with employee passengers, limited rollout to paid passengers under NDA, wider rollout but with waitlist, and finally getting rid of the waitlist.
It's certainly true that they need to do a bunch of extensive mapping for each city, but I don't think we should expect their roll-out speed in later cities to be as slow as the first couple of cities. Most of the stuff they are learning in the initial roll-out will generalize to other location; it's not all city-specific learning.
As a potential customer, Waymo's careful approach seems much more appealing to me. I don't want to ride in a move fast and break things robotaxi when it's snowing in Chicago.
I don’t think every city is a brand new learning experience, there will definitely be takeaways that will speed up deployments in new cities. Plus, a lot of these deployments can happen in parallel so seeing them come online in 20 places at a time simultaneously doesn’t seem extraordinary.
There was an episode of The All In podcast a month or two ago. Friedberg brought up driverless Waymo being available in San Fran. Chamath hadn't even heard of it. He looked it up live and it blew his mind.
These guys are all about tech and couldn't believe there were companies ahead of Tesla, what do you think the normies know?
This is a good question. Will the robot taxi company beat the company that hasn’t made a single autonomous vehicle in the robot taxi business? It is hard to say
> is Tesla actually in a position to win here due to their manufacturing capability / current deployment of Tesla's?
Tesla has much lower costs. If they can beat Waymo on customer experience (better driving primarily, but also better in-car entertainment, better mobile app, and match Waymo's pricing) they'll win.
Waymo might have a regulatory advantage since a lot of politians don't like Musk.
You are assuming Tesla is anywhere close to the capabilities of Waymo. Ignoring Elon and his history of hyping things far beyond reality, Tesla does not appear to have the equipment, data, or organizational culture to achieve what Waymo has done.
Waymo doesn't have to convince its vehicle owners to let strangers ride in their car unsupervised.
Yes there can be cleaning fees and vetting, but all it takes is one or two people puking in your Tesla, and you'll have no interest in providing a Robotaxi for Musk's Mission.
I really don't think robotaxi's are viable with just consumer grade cameras. Lidar's are what make them truly safe. Aka: tesla's training data is garbage.
Alphabet is far ahead of Tesla in the category of "deploying a taxi network". No one can dispute that. They also use a different technology. What I don't know today is how fast can Waymo scale to more cities. I assume if Tesla cracks the "taxi network nut" they can scale faster and will catch up to Alphabet.
Tesla seem stuck-ish to me. They do have some incremental improvements each year, but even after several years of development, their cars want to randomly run into parked cars and other stationary obstacles on a frequent basis. We're not talking about edge cases, your cars shouldn't be regularly trying to hit a concrete wall after this much engineering effort.
Waymos do occasionally screw up, but if they did it as much as Tesla's FSD, it'd be chaos in the streets in SF, so it seems like it must be fairly infrequent.
Tesla is willing to sell to people who will pay $$$ for a self driving car. Waymo isn't. That's probably more important for now. Taxi drivers don't earn that much, and have some advantages AI can't easily replace (able to help with luggage, use petrol stations etc). Replacing them requires undercutting them which in turn means you can't generate a ton of revenue from that. Yet Waymo's business model, such that it is, has put them many billions into the red already. I wonder if anyone has done some ROI calculations and if so how long it'd take. The LIDARs alone would require a huge number of trips just to pay them off, then you have the cars, the decade+ of enormously high software development salaries... if Waymo were another YouTube where it could hide amongst Google's other profitable businesses that'd be one thing. As a separate business with its own accountings, how long will it take until it's turned a profit?
Remember that the passenger cars are not the only thing that can scale; if you can automate the mapping and data preparation part of the process sufficiently, you may even be able to reduce it to mostly a matter of driving a few sensor cars around for a few weeks; maybe even cars that are adapted versions of your normal taxi vehicles, but with a human driver behind the wheel while you are mapping.
I would imagine that while Waymo's mapping efforts have been very human effort-intensive so far, they will be looking at developing this automatic map-making capability as a high priority for rolling out new cities. Scaling the rate of expansion is then mostly a matter of throwing hardware and compute at the problem.
1) Waymo has not "solved" robotaxis as a business. They are not profitable and the vehicles are not truly autonomous (the humans monitoring the vehicles are merely remote. We don't know how many humans are needed per vehicle.)
2) Tesla has zero even remotely monitored, let alone autonomous, miles driven. So no, there is no reason to believe Tesla is close to true robotaxis.
Really, you can't repeat this point enough. Tesla has zero experience in autonomous operation. Their vehicle has not ever driven itself any distance, under any circumstances. There is no reason to believe their software is on the cusp of a sudden improvement. They simply release new major version numbers that have different sets of flaws.
You are correct, Waymo has not solved the economics of robotaxis yet. However Waymo does have a huge head start on the solution. Waymo has been able to manage their scale growth to manage the cost of finding these solutions. It seems like a competitor that hasn't had that will have to pay a lot more to catch up.
as a Alphabet and Tesla shareholder, this is what is important.
The rate of innovation at Tesla > Waymo
The cost of building Tesla FSD = 1/100 * cost of building Waymo FSD
The cost of delivering Tesla FSD = 1/10 * cost of delivering Waymo FSD
Tesla has economies of scale. Waymo has all the details figured out. Waymo can never get to the scale of Tesla (it can never buy 5 Million FSD cars, while Tesla is delivering them every 2 years)
Mathematically, Tesla has an upper hand over Waymo and it'll play out as that.
Larry, Sergei are extremely poor capital allocators. Musk is brilliant (despite him being a narcisstic a*hole).
Larry/Sergei left Waymo at a limbo state because they don't think in terms of economics, just coolness.
Waymo is successful enough to not kill it, but also not a cash-flow positive to scale it up
Edit : Tch, Tch expected HN anti-Musk hate showing up in downvotes.
"The cost of building Tesla FSD = 1/100 * cost of building Waymo FSD
The cost of delivering Tesla FSD = 1/10 * cost of delivering Waymo FSD"
This seems like one of the key assumptions, but is not proven out at all because Tesla does not even have a level 4 vehicle. So the cost of delivering one comparable to waymo is infinite right now!
Your other key assumption is "Waymo can never get to the scale of Tesla (it can never buy 5 Million FSD cars, while Tesla is delivering them every 2 years)".
Both the assertion in the first part and the second part seem like super-strange assumptions, and not obviously true at all, yet are also critical to your analysis.
Waymo could get to the scale of tesla. It may or may not be too expensive to do.
It could in fact, buy 5 million FSD cars. It may or may not be too expensive to do.
"Mathematically, Tesla has an upper hand over Waymo and it'll play out as that."
Or you know, if needed, Waymo could change?
It's funny to watch someone say "this one company will be able to adapt in every possible way to it's advantage, and nobody else can or will"
That almost never happens.
Your retort is then that you are getting downvoted because of anti-musk hate.
Have you considered that maybe you just don't have that good of an argument instead, and that your comment comes off as more of a tesla fanboy (regardless if you are) than a useful contribution?
I could write the literal opposite comment of what you did, in favor of Waymo.
That would not be a useful contribution either for the same reasons.
Tesla is still stuck at Level 3 while Waymo has been operating at level 4 for years.
If Tesla does manag to jump straight from level 3 to level 5, they have a chance to compete, but that seems unlikely. They also might move to level 4 and be able to expand level 4 coverage faster, but that still remains to be seen.
Waymo has years of experience with the other hard part of self driving taxis: actually picking up and dropping off people without a human driver.
Anti-musk partisanship frustrates me, but I suspect it is your fan-boy talking points that drive the downvotes of your comment
Many people predict that AI is going to explode, and afterward nothing will be the same. If that happens, Telsa is in a better position than anyone else to simply update their software and deliver self driving cars.
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Add freeways and airport rides, both of which they are very close to doing, Waymo will become much more of a complete service and a true Uber/Lyft replacement.
In a year's time, we could genuinely see them operating at scale in 6-8 major cities (SF, Phoenix, LA, Austin and new cities), especially with their new dedicated robotaxi from Zeekr. A possible hold up would be China import tariffs imposed by the US government.
1: Airport rides are already available in Phoenix between 10PM and 6AM.
2: I have never seen a Waymo on the freeway without someone driving it (not monitored self-driving, but physically driving it). Take this with a grain of sand but it is my understanding that full self-driving on highways is still far away given the limited range of the (relatively) small sensors and the speed of travel required. That is: the sensors cannot see far enough ahead to react comfortably when going above N miles-per-hour. That might be a dated understanding of the issue though...
Source: I've been riding Weymo since 2019 when it first went public beta (NDA-restricted use). Rode one last night coming home from the airport!
Airport rides in Phoenix are always available, but apart from the hours you note, Waymo drops riders off at the 24th or 44th Street Sky Train locations.
Freeway driving is more straightforward in many ways compared to urban driving, but the problem is that the impact of screwing up is a LOT more severe.
If you screw up at typical speeds in SF, probably nobody will die. On a freeway, odds are a lot higher.
If a car is confused in an urban area, stopping in the middle of the street isn't 100% safe, but it's not super dangerous, whereas stopping in the middle of freeway suddenly is obviously extremely dangerous.
> That is: the sensors cannot see far enough ahead to react comfortably when going above N miles-per-hour. That might be a dated understanding of the issue though...
It's more of a challenge when your stopping distance is low (more problematic for trucking than it is for TaaS vehicles since trucks are so damn heavy).
I suspect some challenges are risks like tailgater collisions and high-stakes lane changes at speed, and even more problematic is just profitability (what if your cars are tied up in traffic jams, what if they don't have enough charge left to make a long round trip, etc).
I meant airport rides to the terminal at all hours of the day.
Waymo is already giving driverless freeway rides to employees in Phoenix, so I don’t agree that it’s far away. It’s definitely a different challenge though.
If these vehicles tackle the roads of Boston, there will be no stopping this company. That place has one of the most confusing road networks I’ve ever seen in addition to some of the most confused drivers.
NYC is another obvious challenge but Boston seems like a challenging middle ground.
The issue is not a confusing road network, it's that Waymos require a modicum of grace in other drivers to operate. They aren't super aggressive, they'll defer to pedestrians and other drivers, they drive safely.
That I think is where they'll find problems when expanding to locales with less than conscientious drivers.
This is both amazing and horrifying. I'm actually confident this automation will save lives. Well of course any system can fail, Uber drivers are often distracted by 30 things, they're fiddling with the app, on personal calls, while navigating tricky traffic situations.
However I predict within a decade or so we're going to get to a point where gig work is no longer feasible. It'll take a bit of trickery, but I'm sure you could have restaurants opt in to putting their own food in the backseat of these. And then as a consumer you would just get your own food from the car .
So think about every delivery driver, and every Uber driver, and many other gig workers. All of these people are going to be out of work very soon. Plus tons of creatives will be replaced by AI. AI will reduce the need for junior software engineers .
I don't think the modern economy is ready for this. If I had one wish, it would be to at least decouple employment from health care. As is, let's say you have a serious illness that requires you to resign or otherwise not have employment for an extended period of time. You're now stuck with a serious illness and no health care. Depending on the state unless you're a child or parent you're not qualifying for Medicare period.
Has anyone figured out, who exactly gets sued when one of these Waymo's hits someone.
Gig work is already not feasible. The only reason anyone undertakes it is financial illiteracy. Uber is largely funded by the irrational sacrifice of numerous individuals of the residual value of their own cars.
When the option is a choice between going possibly hungry for the day, you and your family, and not going hungry then that is not called financial illiteracy.
Couple of anecdotal data points from a new rider. Here's the first time rider spiel they give you [1]. Overall experience is pretty polished. It's handled some tricky situations with confidence like this left hand turn from a two way stop on the inside of a blind curve [2]. Then other times it drives like the most cautious newbie driver. Maybe it didn't like me being so closed to the road, but this time it awkwardly failed to pull close enough on pickup [3]. Definitely got some stink eye from drivers trying to squeeze by.
While it’s still a drop in the bucket compared to human driven taxis, it’s remarkable that Waymo will like reach 50 million passenger only miles this year. And will surpass 100 million passenger only miles sometime in 2025.
With that much data the safety case should become very clear.
If you mean actual taxis in San Francisco, it's not a drop in the bucket. There are 1,800 taxis and compared to 300 Waymos, and the latter have a much higher duty cycle. It's true that the number of Uber/Lyft is a lot higher, something like 40k drivers (who work a widely varying number of hours per week).
Yes, the 100M miles scale is very important, because that's about how many miles humans drive until they cause a death.
Except that they have remote humans monitoring every vehicle so the whole thing is an illusion and we don't know the truth of how safe truly autonomous vehicles are (since they don't exist.)
1:1 remote human monitoring would not scale from a unit economics perspective, and even if they did that, the remote operators can't drive the car, only offer small feedbacks. So the car is really driving itself.
The safety story is an interesting one. Companies like Cruise and Waymo are not forthcoming with their incident data. They share infrequently and through spreadsheets that do not capture every incident. It's pretty ass, and I'd be wary of trusting their self-reported data. I imagine their insurance companies have slightly better data than the gov't, but even then maybe not.
The first time you ride in one, it feels truly sci-fi. But within 5 minutes, you're almost bored of it - that's how good it is. If I had to choose between an Uber of questionable cleanliness and driver temperament and a Waymo with a slightly longer wait and slightly more fare, I'd choose the Waymo every time.
(I have no affiliation with Waymo, Google or any related industry - it's just an amazing service!)
What do you think comes next? These cars are literally unsupervised.
Unsupervised in what sense? There's internal cameras that are periodically checked. Weight and seatbelt sensors that give alerts if a passenger is or puts objects in the drivers seat, or if too many individuals get in the car.
I'd be shocked if a similar or greater level of observability doesn't also exist outside the car.
But I'm completely with you on the unsupervised part. People doing all sorts of things back there that an ML might not identify. Now if they hire an army remotely to monitor, I guess that could scale because of wage disparities.
I know, I know. We can dream.
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Public transport, hopefully.
one waymo was perfect, the other ran a red light then stopped in the intersection diagonally across two lanes of traffic until the light turned green. didn't endanger anyone but felt awkward!
on the cab ride to SFO my driver kept falling asleep and veering into the next lane, i tried talking with him to keep him awake but it was clear he'd been driving all morning and was exhausted.
the cab ride from memphis international was interesting, the cab was falling apart, driver was nice but he tried to convert me to christianity for the last ten minutes of the ride.
the waymos will end up safer but totally devoid of character.
I just want to get from point A to point B without having to make small talk or delicately navigate a political discussion with a stranger. A stranger who both controls the vehicle and, in the case of Uber/Lyft, will be giving me a rating at the end of the ride.
For huge metropolitan cities for examples London, Istanbul, Delhi, Tokyo, Jakarta or Sao Paulo running a red traffic with a car can most probably cause fatal accidents. I am now more than convinced that level 5 autonomous driving cannot be achieved in my lifetime, and much better efforts should be better directed toward non-invasive highly accurate early detection of high mortality diseases like CVDs and efforts for properly mitigating climate changes.
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Think of those self-cleaning toilets.
That's a good robotics project. All the cars are the same. The cars do not have any objects inside that belong to the occupants and should stay. So robotic interior vacuuming could be quite practical, as a station in the car wash. A vision system can inspect for damage and route that car to the maintenance line.
source: I commute by skateboard in SF daily. Just yesterday an empty Waymo cruised straight through a fresh red, narrowly missing my entry into the crosswalk.
But don't get me started on what I've seen human drivers do on the same streets. Just annoyed that Waymo's aren't better.
This was in a turn-left-only intersection with a separate pedestrian light. Maybe the Waymo got confused and thought I also had green.
Human drivers speed up to avoid red, and yay you avoided red but the suddenly higher speed is far more dangerous for everyone around.
Surprised traffic lights aren't updated to communicate with cars directly. Why not have traffic lights broadcast 'stop' message along with turning red?
I suspect traffic lights, roads and cities will have to be updated to work with driverless cars.
Dark magic too, I've been on one too many rides where the driver insists on monologuing on topics that range from detestable (politics) to alarming (the driver was armed, and had picked me up from the airport)
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Years ago they were very respectful and conservative of basic road markings but clearly they have now ‘expanded capabilities’
In other words, what kind of safety metrics do you think would be necessary to change your mind?
If in N years 90% of your peers use self-driving cars, and the only accidents you hear about are in the news about people you don't know, would that change your feelings about safety?
One thing I actually think is really cool about the Waymo ux (full disclosure, I work for Google but not Waymo) is how it elevates the pickup/dropoff locations to feel like more of a first class feature (compared to just typing in an address and your Uber driver dropping you off in the general area).
I don't think I've ever had to walk more than 30 feet to a pickup location, but I have had it drop me off at the nearest cross street (usually on streets where it would've had to double park in front of my exact drop-off location)
But Waymo probably isn't comfortable telling its cars to park in many illegal parts of streets, even if it's going to be quick. Partially because determining which illegal parking jobs are socially acceptable vs unacceptable is a hard determination for a robot to make.
We are way too aggressive with allowing self-driving cars on our roads. Companies are incapable of building a toaster without bugs, our banking apps are a burning garbage dumpster fire, and yet we somehow think it will be different this time?
The Waymos are genuinely good drivers. I look forward to taking them every time.
It’s clear that they’re not the cars for me to worry about out there on a bike / on foot / etc.
Why? Why Not?
That's still far away, these are not driverless cars, there is always a driver monitoring, but they monitor not one but many cars, ready to take over.
- Elon (and his pro-analysts) heavily weight the future of the co's valuation on their ability to deploy a taxi network and has been promising it just around corner for years
- Alphabet via Waymo seems to have "solved" robotaxis for city-proximity driving and has deployed as a business.
Beyond the obvious "reality distortion field" argument is Tesla actually in a position to win here due to their manufacturing capability / current deployment of Tesla's?
Disclaimer - I am an Alphabet & Tesla shareholder
Waymo and similar companies all use HD Mapping. Ignoring the specifics, it can be thought of as a centimeter-level perfect reconstruction of the environment, including additional metadata such as slopes, exact lane positions, road markings, barriers, traffic signs, and much more.
HD Mapping is great when it's accurate and available. But it requires a ton of data and constant updating, or the car will get "lost," and realistically will never be implemented in general, at best in certain cities.
Reliance on HD Mapping gets you to "robotaxis" quicker and easier, but it doesn't and likely cannot scale.
It remains to be seen if Tesla can generalize FSD enough to reach the same level as HD Mapping everywhere. Still, they have shown that the current limiting factor is not what the car sees or knows but what it does with that information. It is unclear how or why HD mapping would help them at that point.
Waymo have said time and again they don’t rely on maps being 100% accurate to be able to drive. It's one of the key assumptions of the system. They use it as prior knowledge to aid in decision making. If they got "lost" whenever there was a road change, they wouldn't be successfully navigating construction zones in San Francisco as we've seen in many videos.
They can also do constant updates because the cars themselves are able to detect road changes, self update maps and rollout changes to the entire fleet. See https://waymo.com/blog/2020/09/the-waymo-driver-handbook-map...
At this point, the whole “HD maps are not practical” is just a trope perpetuated by the Tesla community for years.
If you can make the unit economics work for a large quantity of individual cars, mapping is a small fixed cost.
I agree that it's not economical to map every city and road in the US, since you need to generate revenue from every mapped road and city. So you can think of HD maps as amounting to building roads. They will be built in lucrative places. Cruise and Waymo won't make money from putting taxis in nowhere Arkansas, so they don't need to map it.
> the current limiting factor is not what the car sees or knows but what it does with that information. It is unclear how or why HD mapping would help them at that point.
That's simply untrue. All the hard stuff continues to be reliability and sensor gated. Cruise and Waymo have amazing sensors and even they struggle with sensor range, sensor reliability, model performance on tail cases, etc. For example, at night these cars typically do not have IR or Thermal sensing. They are relying on the limited dynamic range of their cameras + active illumination + hoping laser gets enough points / your object is reflective enough. Laser perception also hits limits when lasers shine on small objects (think: skinny railroad arm). Cars also have limits with regard to interpreting written signs, which is a big part of driving.
Occlusions are still public enemy #1. Waymo killed a dog. Cruise crashed into a fire truck coming out of a blind intersection even though their sensors saw the truck within 100ms.
LiDAR and HD mapping together are supremely useful, even if you don't drive with it, for enabling you to simulate accurately. You cannot simulate reliably while guessing at distances and locations. HD maps let you use visual odometry to localize, and distance measurements grounded in physics backstop the realism of your simulation at least in terms of the world's shape.
Tesla lacks the ability to resim counterfactuals with confidence since they don't have HD ground truth. There are believers at the company that maybe you could make "good enough" ground truth from imagery alone but that in and of itself is a huge risk, and it's what skipping steps looks like. Most in the industry agree that barring a major change in strategy they just have no way to regression test their software to the level of reliability required for L4 / no human supervision.
I seem to recall Musk saying in the last couple years that "full self driving will basically require AGI." This appeared to me to be extremely honest and accurate, though I believe that in the moment he was trying to promote the idea that Tesla was an AGI company.
Does anyone happen to remember when he said that?
Not a problem for Google, right?
> constant updating
I guess the cars can and will update the mapping in real time ?
> at best in certain cities
If mapping a city is possible, so it's mapping a highway, even easier.
If cars do update the maps themselves, they require might just a couple of human-driven passes of the standard WWaymo cars on a highway to generate the maps.
1. Robotaxi is a better target than general self-driving because the human baseline is much lower for robotaxis (most people dislike their experience with uber, while most people think that they are a better-than-average driver)
2. Google took the high road on safety. The move-slow-and-dont-break-things DNA of Google (that hurts them in so many domains) is a golden asset in self-driving.
Waymo has shown they can make robotaxis work, but the big catch so far is that it takes them a long time to open in a new city. They have several phases before they open fully, from what I've seen it seems to be: safety driver no passenger testing, safety drivers with employee passengers, driverless with employee passengers, limited rollout to paid passengers under NDA, wider rollout but with waitlist, and finally getting rid of the waitlist.
This means that hitting even all the major metro areas in just the US is going to take them a long time, let alone the rest of the world (or at least developed world). That does give Tesla some time to potentially catch up, since they don't seem to be bounded by geography in the same way.
Now, that said, I personally don't think Tesla's strategy is workable except maybe the very long term. Doing this with only vision seems like taking something that was already enormously challenging and making it nearly impossible instead. Their slow progress and inability to get their cars to avoid even basic errors frequently, despite near a decade of development now, I think points to this strategy just being bad.
It's certainly true that they need to do a bunch of extensive mapping for each city, but I don't think we should expect their roll-out speed in later cities to be as slow as the first couple of cities. Most of the stuff they are learning in the initial roll-out will generalize to other location; it's not all city-specific learning.
These guys are all about tech and couldn't believe there were companies ahead of Tesla, what do you think the normies know?
Tesla has much lower costs. If they can beat Waymo on customer experience (better driving primarily, but also better in-car entertainment, better mobile app, and match Waymo's pricing) they'll win.
Waymo might have a regulatory advantage since a lot of politians don't like Musk.
They only have a car that can drive with a human partner behind the wheel who's ready at any second to take over and prevent it from crashing.
Yes there can be cleaning fees and vetting, but all it takes is one or two people puking in your Tesla, and you'll have no interest in providing a Robotaxi for Musk's Mission.
Waymos do occasionally screw up, but if they did it as much as Tesla's FSD, it'd be chaos in the streets in SF, so it seems like it must be fairly infrequent.
I would imagine that while Waymo's mapping efforts have been very human effort-intensive so far, they will be looking at developing this automatic map-making capability as a high priority for rolling out new cities. Scaling the rate of expansion is then mostly a matter of throwing hardware and compute at the problem.
2) Tesla has zero even remotely monitored, let alone autonomous, miles driven. So no, there is no reason to believe Tesla is close to true robotaxis.
The rate of innovation at Tesla > Waymo
The cost of building Tesla FSD = 1/100 * cost of building Waymo FSD
The cost of delivering Tesla FSD = 1/10 * cost of delivering Waymo FSD
Tesla has economies of scale. Waymo has all the details figured out. Waymo can never get to the scale of Tesla (it can never buy 5 Million FSD cars, while Tesla is delivering them every 2 years)
Mathematically, Tesla has an upper hand over Waymo and it'll play out as that.
Larry, Sergei are extremely poor capital allocators. Musk is brilliant (despite him being a narcisstic a*hole).
Larry/Sergei left Waymo at a limbo state because they don't think in terms of economics, just coolness.
Waymo is successful enough to not kill it, but also not a cash-flow positive to scale it up
Edit : Tch, Tch expected HN anti-Musk hate showing up in downvotes.
They have driving assist that people still measure in 'number of times I had to grab the wheel'.
Larry/Sergei didn't create the Cybertruck
Why not? They only do the integration, and traditional car and electronics manufacturers have solved the scaling problems long ago.
The cost of delivering Tesla FSD = 1/10 * cost of delivering Waymo FSD"
This seems like one of the key assumptions, but is not proven out at all because Tesla does not even have a level 4 vehicle. So the cost of delivering one comparable to waymo is infinite right now!
Your other key assumption is "Waymo can never get to the scale of Tesla (it can never buy 5 Million FSD cars, while Tesla is delivering them every 2 years)".
Both the assertion in the first part and the second part seem like super-strange assumptions, and not obviously true at all, yet are also critical to your analysis.
Waymo could get to the scale of tesla. It may or may not be too expensive to do. It could in fact, buy 5 million FSD cars. It may or may not be too expensive to do.
"Mathematically, Tesla has an upper hand over Waymo and it'll play out as that."
Or you know, if needed, Waymo could change?
It's funny to watch someone say "this one company will be able to adapt in every possible way to it's advantage, and nobody else can or will"
That almost never happens.
Your retort is then that you are getting downvoted because of anti-musk hate.
Have you considered that maybe you just don't have that good of an argument instead, and that your comment comes off as more of a tesla fanboy (regardless if you are) than a useful contribution?
I could write the literal opposite comment of what you did, in favor of Waymo. That would not be a useful contribution either for the same reasons.
If Tesla does manag to jump straight from level 3 to level 5, they have a chance to compete, but that seems unlikely. They also might move to level 4 and be able to expand level 4 coverage faster, but that still remains to be seen.
Waymo has years of experience with the other hard part of self driving taxis: actually picking up and dropping off people without a human driver.
Anti-musk partisanship frustrates me, but I suspect it is your fan-boy talking points that drive the downvotes of your comment
Whether that happens remains to be seen.
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In a year's time, we could genuinely see them operating at scale in 6-8 major cities (SF, Phoenix, LA, Austin and new cities), especially with their new dedicated robotaxi from Zeekr. A possible hold up would be China import tariffs imposed by the US government.
2: I have never seen a Waymo on the freeway without someone driving it (not monitored self-driving, but physically driving it). Take this with a grain of sand but it is my understanding that full self-driving on highways is still far away given the limited range of the (relatively) small sensors and the speed of travel required. That is: the sensors cannot see far enough ahead to react comfortably when going above N miles-per-hour. That might be a dated understanding of the issue though...
Source: I've been riding Weymo since 2019 when it first went public beta (NDA-restricted use). Rode one last night coming home from the airport!
If you screw up at typical speeds in SF, probably nobody will die. On a freeway, odds are a lot higher.
If a car is confused in an urban area, stopping in the middle of the street isn't 100% safe, but it's not super dangerous, whereas stopping in the middle of freeway suddenly is obviously extremely dangerous.
It's more of a challenge when your stopping distance is low (more problematic for trucking than it is for TaaS vehicles since trucks are so damn heavy).
I suspect some challenges are risks like tailgater collisions and high-stakes lane changes at speed, and even more problematic is just profitability (what if your cars are tied up in traffic jams, what if they don't have enough charge left to make a long round trip, etc).
Waymo is already giving driverless freeway rides to employees in Phoenix, so I don’t agree that it’s far away. It’s definitely a different challenge though.
NYC is another obvious challenge but Boston seems like a challenging middle ground.
That I think is where they'll find problems when expanding to locales with less than conscientious drivers.
I am not artificially intelligent and Boston’s streets are a fuckshow.
If I had to guess, I'd say Atlanta, San Diego, Houston and Miami.
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However I predict within a decade or so we're going to get to a point where gig work is no longer feasible. It'll take a bit of trickery, but I'm sure you could have restaurants opt in to putting their own food in the backseat of these. And then as a consumer you would just get your own food from the car .
So think about every delivery driver, and every Uber driver, and many other gig workers. All of these people are going to be out of work very soon. Plus tons of creatives will be replaced by AI. AI will reduce the need for junior software engineers .
I don't think the modern economy is ready for this. If I had one wish, it would be to at least decouple employment from health care. As is, let's say you have a serious illness that requires you to resign or otherwise not have employment for an extended period of time. You're now stuck with a serious illness and no health care. Depending on the state unless you're a child or parent you're not qualifying for Medicare period.
Has anyone figured out, who exactly gets sued when one of these Waymo's hits someone.
I've worked horrible jobs before, and I needed the money to survive. Not everyone can write Ruby code and make 300k a year.
[1] https://photos.app.goo.gl/apNmS7JNbQ4Cau8dA
[2] https://photos.app.goo.gl/JdUYkTYkJJZYmUt99
[3] https://photos.app.goo.gl/USvznpWqRrY3fnqL9
With that much data the safety case should become very clear.
Yes, the 100M miles scale is very important, because that's about how many miles humans drive until they cause a death.
The safety story is an interesting one. Companies like Cruise and Waymo are not forthcoming with their incident data. They share infrequently and through spreadsheets that do not capture every incident. It's pretty ass, and I'd be wary of trusting their self-reported data. I imagine their insurance companies have slightly better data than the gov't, but even then maybe not.
I think this argues the opposite of what you think it does.
Monitoring != driving and if you had humans pesudo driving, the experience would be insanely bad cuz the human would be interjecting way too much.