They gonna get waymo fares
Hi dad!
Can someone explain like I’m five how Waymo has robitaxis without drivers behind the wheel and automated driving such as that offered by Tesla is not yet able to do the same?
Is it just that Waymo has mapped a small area really, really well? What’s the difference? Why is Tesla so bad at it but Waymo is able to do it?
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Teslas have never had LiDAR on them. You don’t seem very educated on the subject you speak with such confidence of.
Even Tesla themselves calls the removed sensors “radar” so I don’t think your rude dismissal of GPs post is appropriate.
In 2021, we began our transition to Tesla Vision by removing radar from Model 3 and Model
Radar and LiDAR are two different instruments. One creates a 3D point cloud while the other mainly measures distance and speed. New Tesla models with hardware 4 have radars in them.
This correct. Waymo cars have both radar and Lidar plus like 29 cameras.
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I think you were refering to the fact that Teslas used to have radars, not LiDARs on them, then they got disabled and removed and now they’re including them on the HW4 model Y and X again. Musk himself has not been insisting anything about “pair of cameras and a single LiDAR sensor” he’s always been all about cameras only.
Why they’re buying those sensors now? Who knows. Very unlikely however that they’d be adding them to their current models. It more likely has something to do with training FSD and validating the camera data with LiDAR or then it’s related to the Robotaxi. Time will tell.
Going off what fishpen0 said, Waymo actually has sensors on it to detect things and can “understand” its surroundings much better than Tesla cars can wish just cameras.
I’ve ridden in Waymos and they are smooth riding. After the initial “OMG! There’s no driver!” You kind of forget about it. You get to your (limited area) destination safely and without much hassle.
I can go more in depth if ya want.
The problem with Teslas, or self-driving cars in general is not so much the ability to see your surroundings. Teslas can do this well enough by using just cameras while admittedly LiDAR would be even more accurate. The problem is deciding what to do with this information. It’s primarily a software problem, not a hardware one.
I’ve ridden in Waymos and they are smooth riding.
In a recent statement on X, Tesla Autopilot Director Ashok Elluswamy highlighted the team’s focus on both smoothness and safety during the development of FSD v12.5, noting that he managed to avoid spilling open coffee for a huge portion of a recent trip.
Many people testing FSD on youtube can confirm that it indeed is that smooth riding.
LOL. LMAO.
Also “for a huge portion of a recent trip” directly implies there was a part of that trip where he did spill coffee.
Humans can drive with just vision.
Tesla is doing it the hard way. Their model involves cars just having vision and driving the same as humans do. Humans can do it, why can’t computers? Seeing as they have more cameras than 2. In theory they should be better than human drivers. Once it is solved they could instantly drive anywhere humans can.
Waymo has taken an easier route and they have used a lot of detailed mapping with also an assortment of additional sensors. Waymo doing it the easy way has only recently achieved this. Turns out it’s really hard. Harder than everyone including the experts expected probably.
But with advances in computing and things like LLM’s Tesla is catching up. Who knows how long that will take though? I always thought waymo was doing the right thing so I’m biased.
Edit: this fucking website I swear. I answered the question and got downvoted for it. What more you people want from me?
Human vision also have the brain that does a lot of automation like figuring out distance and looking out for danger with real time reaction speed. Night vision is usually better for most people too. The brain also combines that with sound so it can detect things out of vision. Eyes already have a range of view but the human head can also move around accurately. On top of all this focus is what the human brain is best at. While cameras can see 360°, years of data built in the subconscious taught a human driver what to look out for.
Human vision also have the brain that does a lot of automation like figuring out distance and looking out for danger with real time reaction speed.
To be fair, the reaction time of a self driving vehicle is orders of magnitude greater than that of even the best human driver.
This is what leads to many moral questions about autonomous vehicles; where as human may not have time to react when an accident is about to happen, a self-driving car does. Laws of physics may prevent it from stopping in time, but it may have the ability to choose who to hit; the kid of the grandmom.
The reports of the safety of AVs is overstated when you consider that they are limited within a city limit, they rarely go on the highway, they follow speed limits in cities which is lower than highways, people are more aware of AVs, and during their trial runs they had an actual human in the car to correct them.
On average, AVs are safer especially when you consider some bad drivers do not get better, people drink, people get sleepy, people distract themselves. and young drivers lack experience. But the average driver with it with their full faculties would do better in tests based solely on reactions.
if you look at the accident reports and took out drivers who were on a substance, are younger than 25 or older than 70, was distracted with something like their phones or others in the car, were not following laws, and those who were emotional then the stats would be pretty close.
Overall I do believe AVs are better for world because peak performance of an average driver is rare.
But the average driver with it with their full faculties would do better in tests based solely on reactions.
React faster than a computer would? I cannot imagine how that would be the case.
If it was a simple flag, you would be correct a computer will react faster than any human but when you factor in everything else like constantly analysis of surroundings, decision making, and accounting for physical limitations, then yes. It’s the reason why Waymo cars move so slowly.
If a person was standing at a sidewalk, hidden behind an object, far away from a pedestrian way or traffic signal and jumps 2 feet in front of a car going 25 mph, the average driver with their full faculties would do better than Waymo.
Well yeah right now that may still be the case but I was mostly thinking about the “true” self driving cars of the future. It seems obvious to be that they would vastly outperform human drivers on literally everything. Just like a true AGI would.
A human is not just a computer with a camera.
Yea I know.
You apparently haven’t seen the video of a fsd tesla going full speed through the fog towards a train crossing with an active train.
The cars display didn’t even indicate that it thought something was in front of it, and would have happily driven right into the side of this train if the driver hadn’t taken over at the last moment. (Driver was an idiot for using fsd in the fog to begin with) but it shows the cameras can’t handle reduced visibility well currently, they saw the fog and just decided it was open road or clear sky.
Not only that, but as far as I know, other companies are still relying on human-written code, whereas Tesla has gone with neural nets. If it turns out that manually coding how to handle every possible variation of traffic scenarios is an impossible task, those companies would essentially have to start from scratch, giving Tesla a massive lead for adopting AI so much earlier. Of course, it’s a gamble, things could go the other way too, but considering the leap FSD made from version 1.3 to 1.4, when they switched to neural nets, I’m rather confident they’re on the right track.
An undeterministic system is dangerous. A deterministic with flaws can be better, the flaws can be identified understood and corrected. The flaws are more likely to be present in testing.
Machine learning is nearly always going to be undeterministic. If they then use continuous training, the situation only gets worse.
If you use machine learning because you can’t understand how to solve the problem, then you’ll never understand how the system works. You’ll never be able to pass a basic inspection test.
I’m not sure what you mean by suggesting Tesla is bad at it. Have you looked at any recent videos of Tesla FSD driving in cities? It’s not flawless and neither is Waymo but claiming it’s bad is far from the truth. Most people seem to be basing their opinion about FSD on outdated information. It has come a long way. It will reliably take you from your home to the grocery store and back with zero driver interventions. Nowdays it’s almost boring to watch videos about FSD because it is so good.
Tesla FSD has killed multiple people.
And it will keep killing people even after it surpasses the most skilled human driver. What’s your point?
If we replaced every single car in the US with a self driving vehicle that was 10x safer driver than an average human is, there would still be 11 deaths every single day. Does that mean it’s unsafe we should go back to human drivers and 110 daily deaths?
There is no evidence that Tesla’s FSD is 10x safer than a human driver, nor particularly strong reason to believe that it will get there using just cameras that are worse than the human eye.
Waymo on the other hand, actually has the safety data to back up a 10x claim, if not higher.
So if we replaced every single car in the US with Waymo’s vehicles the daily deaths from traffic accidents would drop from 110 to 11. That’s 11 news articles every day to use as evidence about how self driving cars are “not safe” because Waymo has killed multiple people.
That’s the absurdity my comment tries to highlight. It’s all relative. Pointing to individual accidents is not a proof in itself of something being unsafe. This applies to Tesla FSD as well.
Fair point in the abstract, but in this scenario Waymo has killed zero people while developing self driving technology while Tesla has already killed several. The deaths have also not been caused by random unavoidable happenstance, but from driving full speed into trucks and medians.
It’s entirely possible that by the time both are ready for actually full primetime and are both 10x safer than the average human driver, that Waymo’s software will have killed zero people and Tesla’s software will have killed several.
Why not zero intentional murders?
Let’s hear your plan then.
We shouldn’t be consciously murdering people so that suburbanites can drive around in a huge metal cage with two sofas, a stereo system, HVAC, micro-plastic tires, slave-produced resources, exhaust/energy, etc.
Instead we should ban cars and replace them with readily available infrastructure for walkers, bikers, wheelchairs, and LEVs that’s sustainable, healthy, affordable, pleasant, efficient, cheap, etc.
Welcome to johnnycab!
So it begins…
Good. Every less impatient, wreckless, human, driver on the road, the better.
These things are programmed by impatient, wreckless, human, drivers…
I cant believe they allow these things on our roads as a public beta test.
Good thing they aren’t on your roads then, being that you’re not American, and therefore not in either of the metropolitan areas they operate. They are on my roads however, I see them all the time. I see constant terrible driving from all kinds of people, but these things are patient and I don’t think I’ve personally seen one make a mistake.
By referring to their current stage of deployment as a public beta like it’s a bad thing you show a ton of ignorance on how testing cycles work as well. No amount of alpha testing would make these safe for broad deployment into real world scenarios that test designers can’t dream up. This is exactly the type of slow roll out that is required to get as much real experiences as possible to be programmed for.
I have no doubt these things aren’t perfect, but they are a lot better than an overworked and tired human being the wheel.
I have no doubt these things aren’t perfect, but they are a lot better than an overworked and tired human being the wheel.
Citations needed.
Be careful with that logic, these are jobs forever lost to robots. They will eventually come for your job or the job of someone you know. Increasingly the question won’t be whether robots can do X better than humans, but whether they should.
Reason number one million capitalism sucks. We should be happy to turn over dangerous or menial jobs to machines but we can’t do that because without jobs our society views us as worthless.
That’s literally the goal.
I used to do electrical engineering at an architecture firm, and we would say, design a hospital that has 300 identical exam rooms in it.
Guess what happens when someone decides that we need one more outlet in one of those rooms? Or that they need to be on the other wall? Or that a new piece of furniture gets added?
Do you think that all 300 rooms would just update with that new requirement? No. It is someone’s job to sit there, click on the outlet on the pallette in the left side of their screen, drag it into the room, rotate it properly, attach it to the right wall, give it a circuit from the panel, and then repeat for 300 rooms. It can take weeks.
I learned how to write software because I realized what a fucking crock of shit waste of time that is. Why are you celebrating and defending menial bullshit that can be automated? A utopian future is literally only possible if we automate away most jobs. I don’t think our current system of resource distribution is setup for a utopian future, but it can literally only happen if all the pieces are in place for it, and automating the basic necessities (like building design, and transportation) is one of those necessary pieces. If AI automates software development, that will be awesome because then way more industries (like architecture) will be able to get the software they need to run effectively.
Well it is one thing to automate a repetitive task in your job, and quite another to eliminate entire professions. The latter has serious ramifications and shouldn’t be taken lightly. What you call “menial bullshit” is the entire livelihood and profession of quite a few people, speaking of taxis for one. And the means to make some extra cash for others. Also, a stepping stone for immigrants who may not have the skills or means to get better jobs but are thus able to make a living legally. And sometimes the refuge of white collar workers down on their luck. What are all these people going to do when taxi driving is relegated to robots? Will there be (less menial) alternatives? Will these offer a livable wage? Or will such people end up long-term unemployed? Will the state have enough cash to support them and help them upskill or whatever is needed to survive and prosper?
A technological utopia is a promise from the 1950s. Hasn’t been realized yet. Isn’t on the horizon anytime soon. Careful that in dreaming up utopias we don’t build dystopias.
I’ve used them a few times now and the novelty hasn’t worn off yet.
When it does wear off I think I’ll move back to alternatives that cost less, unless Waymo gets competitive on price.
Interesting, when I took Waymo, it was cheaper than Uber and Lyft, pre tip.
How much more does it cost to the alternatives?
Uber is quoting me about $15 for a journey that Waymo charged me $19 for.
There’s a tip to add for the Uber ride. I’m not sure what the cost for Uber would have been when I took the Waymo.
That’s more than I would have expected at this stage. Huh.
100,000 rides a week. Impressive.
