"In the crashes that ODI has reviewed, the system did not detect common
roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred."
Does it not detect them at all, or fail to deal with detected sensor degradation adequately?
Does "Full Self Driving (assisted)" slow down under conditions of poor visibility?
Does Tesla even look for the road surface? One big advantage of those up-top LIDAR units is that you have a good scan of the pavement ahead. If you're not sensing flat pavement ahead, don't go there. That's basic. Vision-only systems, going back to Mobileye, have been overly dependent on looking for known kinds of obstacles. Original Mobileye could only detect car rear ends.
I own two Tesla’s. When conditions are adverse, i.e. fog, heavy rain, the system simply shuts off and reverts back to manual driving. Elon has said several times that humans can drive with two eyes and Tesla should be able to drive with X number of cameras. however, it suffers from the same problems humans do: if it can’t see it can’t drive and ironically that’s when it reverts back to human control.
I definitely agree that in principle a computer can drive with cameras alone. I don't know whether it's a useful statement. Like a human can determine the genre of a movie merely by watching it. I wouldn't suggest to blockbuster in 1990 that they should collect no genre metadata for movies because the database server should automatically sort it out on its own. (Nowadays somewhat feasible with ML of course, but 20+ years later.) What sensors/data you need is a question of where computers are now or will shortly be, and it seems that for now they need the extra structure of LIDAR for best effectiveness.
>I definitely agree that in principle a computer can drive with cameras alone.
Obvious things first, cameras have way worse contrast and low light sensitivity than human eyes.
Humans have much more evolved logical thinking capacity, even the stupid ones can figure stuff out that modern AI struggles with.
Humans have other sensors, too that they use to plausibility check the picture they see. I.e. one of the best sensor fusion systems on the planet.
When in doubt humans can figure out whether it's a lens occlusion or a some other artifact in their vision by virtue of moving their head around.
There's probably other things I'm not thinking of. In any case to make full self driving work we should first start by using all available tech to make it safe. When you have safe tech you can slowly start removing individual sensors while verifying that safety remains high. As the experience and system evolves there will be optimization potential.
And until we have that low light thing and high contrast figured out, camera alone doesn't cut it.
Right, but if these things are so rare that we all only know the one viral example, I feel like that lends credence to the models basically generally not having this problem.
Researchers built the Winnograd Schema Challenge more than a decade ago to assess common sense reasoning, and LLMs beat that challenge task around GPT 4.
They're not so rare. Hallucinations have been spotted everywhere, but the "driving a car to the car wash" is an amusing one that's been recently publicised. Developers aren't going to point out every time an LLM hallucinates an entire library.
I'd add to this, any moderately involved logical or numerical problem causes hallucinations for me on all frontier models.
If you ask them in isolation they may write a script to solve it "properly", but I guess this is because they added enough of these to the training set. But this workaround doesn't scale.
As soon as I give the LLM a proper problem and a small part of it requires numeric reasoning, it almost always hallucinates something and doesn't solve it with a script.
If the logic/math is part of a larger problem the miss rate is near 100%.
LLMs have massive amounts of knowledge, encoded in verbal intelligence, but their logic intelligence is well below even average human intelligence.
If you look at how they work (tokenization and embeddings) it's clear that transformers will not solve the issue. The escape hatches only work very unreliably.
If you ask this of any current day AI it will answer exactly how you would expect. Telling you to drive, and acknowledging the comedic nature of the question.
That's because AI labs keep stamping out the widely known failures. I assume without actually retraining the main model, but with some small classifier that detects the known meme questions and injects correct answer in the context.
But try asking your favorite LLM what happens if you're holding a pen with two hands (one at each end) and let go of one end.
Not unlikely that you're talking to a lot of AI-based AI boosters. It's easier to create astroturfed comments with chatbots than fixing the inherent problems.
Nice. My test was always a blond bald guy. It always adds hair. If you ask for bald you get a dark haired bald guy, if you add blond, you can't get bald because I guess saying the hair color implies hair (on the head), while you may just want blonde eyebrows and/or blond stubble.
> When conditions are adverse, i.e. fog, heavy rain, the system simply shuts off and reverts back to manual driving.
I also own a Tesla, and there is no indication shown to the user that FSD's vision is degraded. They need to add this in.
For example, numerous times I have been driving my Tesla with FSD activated with ostensibly a clean and clear windshield when suddenly the car will do the "clean the windshield in front of the camera routine" without any indication that the car's camera is degraded. If people haven't seen this "clean the windshield routine", the wiper fluid is dispensed and the wiper will vigorously wipe in front of the camera only -- the rest of the windshield only gets a cursory wipe.
This indicates to me that the camera has poor visibility and I am not informed or aware of this as a driver, which is concerning. I am often curious if there is a thin occluding film on the windshield in the camera box in front of the camera, or something that has degraded FSD's vision, but they do not give you the ability to view the camera feed, nor do they notify you that the vision is degraded. I think a "thin occluding film" may be in the camera box because my normal windshield outside of the camera box started to show a thin chemical film after a couple of months, which apparently (according to a Google search) happens when a new car off-gasses, adding a thin film of chemical byproduct to the windshield. This is my first new car so I've no idea if this is normal or not.
> yes it does, and it's annoying as all hell. Dirt, sun, etc all pop an alert about degraded performance
As with all things FSD, it does sometimes and not others. I've driving my parents' Tesla with FSD engaged and it did complain when the windshield got dirty but didn't say anything when it drove into fog. (I took over manually.)
Out of curiosity, was the camera view compromised? I would probably take over too, but like the poster above, I get the warning in all kinds of conditions.
Absolutely could be a clouded windshield on the inside (where it's really hard for normal people to clean). I brought this up when I got my last Model Y that it was foggy and they said it was "fine". Took it into service over a year ago and noticed they cleaned it. Clearly it's a problem but they're not being too transparent about it. I suspect they don't want to because it's not the easiest thing to remove the cover for normal people to clean.
Recent Tesla updates will detect dirty glass inside the camera enclosure and offer to schedule (one!) free glass cleaning. You can do it yourself if you have a trim tool. (A thin plastic prybar) https://www.notateslaapp.com/news/3327/tesla-now-offers-free...
I've always hated this argument. Why should I want a system that can drive "just as any human driver can"? I want it to be much much much better than the best driver out there, like 100x or 1000x better.
That argument is dumber and dumber any time I think about it. And we haven't even gotten into the fact that human eyes and its partner in crime the brain work much different than a camera.
That’s how Musk works. He waves his hands and uses words like “orders of magnitude” and “first principles” and then you end up with 250-meter long tunnels under your city with Teslas driving back and forth in it and fanboys forget this thing called subways ever existed.
> humans can drive with two eyes and Tesla should be able to drive with X number of cameras
Systems built from cameras that are only nearly as capable as human eyes and software that is only nearly as capable as the human brain will fall short overall. To match or surpass human performance, the individual components need to exceed human abilities where possible--and that's where LiDAR provides an advantage.
My Lexus does this too. I rarely get it due to weather however it’s how I know I’m past due for a car wash (dust on sensors)
In any case, it seems reasonable to me that the human should be making the decisions once conditions become adverse. It’s a simple liability issue for the car company but also I’d rather trust my own judgment if it’s only 80% certain it’s not driving me off a cliff.
One of the coolest features I saw like this was on a Jaguar XJL I had recently, that had an air particulate sensor and would automatically switch to recirc cabin air when that count was too high (i.e. dusty / smoky conditions).
Well that, but Elon is also downplaying the quality of the human vision system compared to the cameras Tesla's have.
They're just not that good - nowhere near human vision performance. And a human in a car has a surprisingly good view of the road and a very fast pan tilt system to look around.
Tesla's do not actually have 360 degree full binocular vision coverage - nor the ability for a camera to lean left or right to improve an ambiguous sensor picture.
So while I fully believe that vision only self driving could work, within the constraints of automobile platforms and particularly the Tesla and it's current camera deployments, it is not remotely similar enough to human visual fidelity for that to solve a valid argument.
Tesla’s actually have zero binocular vision coverage because the cameras have different focal lengths and are too close even if they did have the same focal lengths.
They are also below minimum vision requirements for driving in many states.
yea, when it rains the world
stops and we all sit home and wait for the Sun to make an appearance. coolest part is that some places in the US get like 200+ rainy days and you get to stay home cause you have no choice, schools closed etc :)
> There isn't some kind of god riven right to transportation, it is always conditions permitting.
If the condition is a little fog and little rain and little snow/sleet I hate to break it to you but those are very permitting. In most of the continental US the number of days where driving conditions for an (below)average human and such that it is wiser not to get on the road is very small. If the "robo"taxi technology you posses cannot match that of a (below)average human you got nothing but vaporware you've been pitching as "done deal" for more than a decade.
> Well, even robotaxi's can't beat the laws of physics. There isn't some kind of god riven right to transportation, it is always conditions permitting.
>> "Elon has said several times that humans can drive with two eyes and Tesla should be able to drive with X number of cameras"
This must be one of the most stupid takes that gets repeated non stop by Tesla fans.
I just don't get it. Humans also have emotions and other biological senses that Computers don't have. You just cannot compare both.
What makes human so good at driving is that they can react relatively well to unknown new events. Teslas cannot do that, and with the current hardware never will.
> Elon has said several times that humans can drive with two eyes and Tesla should be able...
And this is an amazingly stupid statement. Humans drive with most of their senses, not just vision. In fact our proprioception plays an important role in driving.
Even Tesla's use of cameras is poor because they're monocular and fixed in place. Most humans have binocular vision and those visual sensors have multiple degrees of freedom and the ability to adjust focus.
Even if you wanted to only use vision for navigation it's irresponsible to not use binocular configurations that get more reliable depth sensing.
Elon is deeply involved in engineering decisions in his companies, and has by all accounts deep knowledge in those areas.
And yet randos on the web keep asserting he's not an engineer. Is there any factual basis for this? Is it just that he doesn't have a degree with that word in the title?
Being an engineer is neither having a degree in engineering which he doesn't have nor managing them and it certainly isn't owning a company that employs them. It's working as an engineer.
He continually says dumb things that aren't true or reasonable and has never worked in the field he's a rich boy who bought things with daddy's aparteid money.
> Does "Full Self Driving (assisted)" slow down under conditions of poor visibility?
Under conditions of poor camera visibility?
Humans drivers can see under conditions that cameras cannot, and people will otherwise misinterpret “visibility” as referring unpredictably (and with personal biases) towards either human sight and/or camera processing and/or lidar processing.
I think vision-only can certainly work for 99.9% of driving.
But it's that 0.1% of situations where the results will be catastrophic. Sure, you can detect vehicles, traffic cones, bikes (both bicycles and motorcycles), people, mopeds, traffic lights, lane markings, everything you'd expect on a road.
But what about the mattress that fell out of someone's truck? If the car doesn't know what a mattress is and what it looks like, it can't really adequately determine its size based on the monocular vision that Tesla has. Sure, maybe it could use motion vectors between video frames to make a guess, but I'm not convinced that's going to work well, especially relative to LIDAR.
Steering back to the subject at hand...
> "In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred."
I don't think I've ever had my Tesla disable Autopilot based on road conditions, though maybe it's because when conditions are bad, I've just taken manual control preemptively. I've let it go through construction areas where cones are guiding traffic outside the painted lines, and surprisingly, it's handled it fine, though I've only done this at low speeds (~20 mph).
Camera visibility is another story. In heavy rain at night, I've had it not allow me to enable AP, though I've never had it disable AP and tell me to take control. However, it HAS limited the cruise speed based on visibility.
All this to say...
...anybody buying Tesla's FSD is being swindled, as far as I'm concerned. "FSD (Supervised)" is a scam. If you have to supervise it, it's not self-driving. It's just a party trick that you have to watch to make sure nothing goes wrong.
99.9%? I'm not an expert on climate, but I would guess that at minimum 50% of the world faces snow or fog or heavy rain while driving at times. In some places, 30%+ of all driving year-round could be in snow-inclusive conditions.
99.9% of driving of sea-level, non-rainy, near-the-coast California/Austin weather, maybe. I would guess it's a no-go in the inland foggy conditions in CA, for example, or freezing rain in TX.
I once saw a presentation I think from one of the Argo ai guys with a greatest hits reel of the long tail of driving. One of them was a stake bed truck with a bunch of pigs in the back, and the back gate opened up and the pigs were falling onto the highway and running around injured. Most people will experience something at this level of unusualness at least a few times in their lives, so you have to be prepared to handle it.
> vision-only can certainly work for 99.9% of driving
Human vision only? Sure. Cameras only? I'm sceptical of the quality of these cameras. Particularly given, unlike the human eye, they don't do the rapid involuntary movements that make human eyes ridiculously robust.
The difference between HW4 and older Teslas (before 2023) is night and day. HW4 absolutely can handle 99.9% or more of driving now whereas the older models drive like an idiot. I've never had to intervene on HW4 yet. It did well avoiding debris and animals, even seeing them heading towards the road. Worked well in heavy rain and snowstorms, even when lanes were barely visible. Handled moving and parked emergency vehicles with lights on correctly. Navigated through roads undergoing work (lanes shifted, closed off, pylons everywhere). Automatic parking actually works but not all the time yet.
No software update is going to give working FSD to all those older models on the road. I don't think they can even have HW4 retrofitted either. Ideally FSD would be disabled on those cars because it's confirmed never going to work properly but people paid for lifetime FSD on them (newer cars are subscription only).
Even if 99.9% is true (and there’s no reason to think it is), that’s nowhere near reliable enough to match Waymo or do truly autonomous driving. The average human is much better than 99.9%.
That's just me being pessimistic because I've seen how terrible FSD is on older Teslas, and only have personal experience using it in HW4 for ~2 months.
It's really unfortunate that FSD is judged as a singular feature when it is vastly different depending on the car. HW3 cars are getting cut down versions of FSD software, which is useless garbage because it drives like an idiot. HW2 and earlier are probably not getting FSD updates at all anymore. The majority of Teslas on the road are HW3 or earlier, run significantly worse (unsafe) FSD versions, and yet Tesla still allows it to be turned on.
Yes. They use an occupancy network which segments the environment into drivable and non-drivable space. This has been shown in patents and company presentations.
As for road surface, yeah, that is how it should be (as you describe). Higher end Audi model/trims do road surface scanning and will adjust ride height, vehicle camber, even (to the greatest extent possible) help you avoid potholes while maintaining lane positioning. This is - or should be - table stakes.
"Cameras only" is a cost cutting for profit only feature that is subject to Wile E. Coyote attacks.
It is a shameful engineering design to leave out LIDAR and it has cost human lives.
Let's hope Musk does not leave out something important for the moon landing. His proposal for it is absolutely ridiculous, it looks like a children's book fantasy and many smaller top-heavy craft have already toppled on the moon!
Yes but we now have very detailed topographical maps of the moon, and the GNC systems are way better. I expect they will carefully choose the exact landing spot and hit it within 10m or so. Certainly it lacks the heroism of eyeballing a good place to set down with 60 seconds of gas in the tank.
> It is a shameful engineering design to leave out LIDAR and it has cost human lives
I'm still waiting for a jurisdiction to either create a liability safe harbor for self-driving systems with lidar or outright ban cameras-only systems on public roads.
The introduction of self-driving technology at scale will inevitably result in a few accidents no matter how many sensors are used. It's the same with every new technology deployed in high-risk situations, including motor vehicles themselves.
Even malfunctioning airbags have caused fatalities. The important thing is to identify the issue early so the company can address it before more people get hurt, which the ODI in this case is thankfully doing.
What are wile e coyote attacks? Painting a tunnel entrance on a wall?
If Tesla FSD is better than the average driver using it, isn't it still a net win, even if it might crash in different scenarios than a human? Especially because a human has a window to override FSD, but FSD doesn't really get a chance to override a human, except in limited scenarios like automatic emergency braking. And it gets more people using it by providing FSD at a lower cost?
>> What are wile e coyote attacks? Painting a tunnel entrance on a wall?
Yes!!! Thank you hopefully I will get credit for inventing this attack :)
>> IncreasePosts 39 minutes ago | parent | context | flag | on: Tesla: Failure of the FSD's degradation detection ...
What are wile e coyote attacks? Painting a tunnel entrance on a wall?
>> If Tesla FSD is better than the average driver using it, isn't it still a net win, even if it might crash in different scenarios than a human?
I don't think so because it is fooled by simple things that could easily be prevented and counting on a human to override is very risky because the human is simply not alert in the passive mode.
I think cameras are great, but there is no excuse not to also use LIDAR.
What if I am better than average driver? Thats anyway a very low bar for success and its not going to fly with general populations, laws and so on.
tesla cars killing people would be all over the news each time and nobody would care that similar or even marginally smaller amount of people would die anyway. People simply expect way more for giving up control.
> If Tesla FSD is better than the average driver using it, isn't it still a net win, even if it might crash in different scenarios than a human?
That was the analysis when the industry was in its infancy. I think a lot more work has to go into that argument for people to accept it now that the driverless car industry has been operating for a decade+, it's not really clear that this pans out.
For example, today you can look at a car and predict how it's going to behave because you have a good model for how people drive. But let's say in the future driverless cars are much "safer" on paper than human drivers, but they behave very differently from them such that it's hard for people to predict their behaviors.
Now you've created a highly dynamic system where you don't have a good model for the all the actors because some of them behave one way but others behave a completely different way. Does this increase the overall safety of the system or decrease it, despite the new actors being statistically safer than the current ones?
I don't think you can with great confidence say what's going to happen just by looking at crash rates and comparing to the current system. You're going to change the whole system by introducing large numbers of actors who "crash in different scenarios than a human"
Yes, this was something that the industry figured out in 2007. But because Musk has a lot of money, people do whatever he says, no matter how ignorant and deadly and dangerous. He never even had a cogent rationale, just absurd amounts of money. The shame is so profound and widespread it's hard to fathom really.
The renderings look like the cover of a Young Adult Sci Fi novel by Robert H. Heinlein. Have Spacesuit, Will Travel comes to mind. Probably the first true Science Fiction I have ever read!
His moon lander will deploy a parachute that keeps the lander suspended for as long as it takes for the AI to grok the fact that there is no air on the moon, and then it finally falls according to cartoon physics with a whistling sound you can hear through the vacuum.
Not too much to specifically take away yet, but appears that the degradation detection system did not function well. That is pretty egregious for FSD given a human won't be able to tell if FSD is confident or needs the human to intervene. I'd expect this to be a VERY important test case with high reliability of passing, but who knows.
Tesla is a premium product - if someone is going to use FSD they know its a luxury feature and should pay for the most comprehensive safety features available which in my mind would of (of course) require lidar
I'm not sure that's the case anymore. Each Tesla model has gotten more spartan over the years. And the interiors have never been all that "premium" when compared with other manufacturers. They should still offer the most comprehensive safety features, but whether or not thats because of "luxury" or not, I'm not sure.
Tesla is an expensive product, but it's never been premium as in "high quality". The interior has always felt bare like a portapotty, the body panels have always been misaligned, products like the CyberTruck have trim that is glued on and can be ripped off by a pinky finger. And of course driverless assist systems that have been known to decapitate multiple peoples and get fooled by a cartoon wall.
My wife and I drove a lot of EVs during the year we lived without a car while traveling (by plane) to different cities. Tesla has to be our least favorite. Not having CarPlay alone was disqualifying and made it worse than a low end Civic
Not in the least. Cutting costs by only using cameras and then claiming "well humans can do it so why not us" is one of the dumbest things I've ever heard.
>In each of these crashes, FSD also lost track of or never detected a lead vehicle in its path.
Oh good, Tesla vehicles apparently struggle with the task of "Hey, there's a car there" in degraded conditions.
Probably don't need to worry about that while driving though.
>Tesla also described internal data and labeling limitations that prevented a uniform identification and analysis of crash events with the subject system engaged. ODI believes this limitation could have led to under-reporting of subject crashes over portions of the defined time-period.
I thought Tesla was a "Software" company!
This report is insanely vague though. It's very preliminary, opened yesterday.
> This report is insanely vague though. It's very preliminary, opened yesterday.
Yeah I think posting this here is premature without any details.
Maybe I'm misremembering things, but I feel like 4-5 years ago we didn't have these clickbait headlines that fed political discourse. It feels like reddit culture has permeated this place for a while.
Anytime one of Elon Musk's company has a misstep, the headlines violently shoots to the top of the front page.
It's not premature. Every single expert in this field has warned about these issues since even ~2012 days when these types of platforms were being publicly discussed.
This is an expected and understood result given the hardware and software involved.
You will not get past these issues without a RADICAL improvement in camera technology paired with specialized, dedicated processing hardware matched against several (and I mean several several) "common" environment profiles.
FSD is a scam. It's not safe. It is not technically sound.
The fact that there aren't many more accidents with the system is a by product of consistent and well thought out road standards, car standards, other safety systems present on cars, and driver education.
You’re just reciting your priors, which I think supports GP’s point: no one is getting new information out of the posted link, so it’s probably premature to comment on it.
I was agreeing with kvuj and rguyorama that the original link is to an announcement that an investigation is happening, and it's too early in the process to productively discuss it. People have very strong and emotional pro or anti stances on the Tesla Vision system in general, and love an excuse to have the debate again, but in the comments here where people are talking about their stance you might notice that they don't reference any specific facts from the linked report to support their arguments. This is because the report is still vague at this stage and doesn't provide any specifics that inform the discussion.
People have been warning about this for over a decade, others have died as a result of the lack of action, and yet we're still sitting on our hands waiting for the government to catch up to what expects have known for years - Tesla Autonomy is fundamentally busted/cooked/broken, and needs to be outlawed.
The reason this stuff shoots to the top is because Elon Musk and his companies are a red alert menaces to society. People are sick of him and the damage he causes with his money, and wish he and his cars would just fuck off for good. From his cars slamming into people and property, his website spreading hate, his starships raining fiery debris, or he's personally taking an axe to government programs we rely on, everyone has cause to be absolutely done with his antics.
But since businesses can apparently unleash autonomous murderbots onto the public roadways with zero repercussions for 10+ years, I guess we'll have to settle for endless flamewars about Musk's campaign of destruction on HackerNews instead.
To be fair, much of the criticism is deserved with the deadlines that are never met, the manufacturing defects, engineering defects, cost cutting measures, etc... (and only in terms of Tesla not the overall Musk footprint)
"In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred."
Does it not detect them at all, or fail to deal with detected sensor degradation adequately? Does "Full Self Driving (assisted)" slow down under conditions of poor visibility?
Does Tesla even look for the road surface? One big advantage of those up-top LIDAR units is that you have a good scan of the pavement ahead. If you're not sensing flat pavement ahead, don't go there. That's basic. Vision-only systems, going back to Mobileye, have been overly dependent on looking for known kinds of obstacles. Original Mobileye could only detect car rear ends.
I own two Tesla’s. When conditions are adverse, i.e. fog, heavy rain, the system simply shuts off and reverts back to manual driving. Elon has said several times that humans can drive with two eyes and Tesla should be able to drive with X number of cameras. however, it suffers from the same problems humans do: if it can’t see it can’t drive and ironically that’s when it reverts back to human control.
I definitely agree that in principle a computer can drive with cameras alone. I don't know whether it's a useful statement. Like a human can determine the genre of a movie merely by watching it. I wouldn't suggest to blockbuster in 1990 that they should collect no genre metadata for movies because the database server should automatically sort it out on its own. (Nowadays somewhat feasible with ML of course, but 20+ years later.) What sensors/data you need is a question of where computers are now or will shortly be, and it seems that for now they need the extra structure of LIDAR for best effectiveness.
>I definitely agree that in principle a computer can drive with cameras alone.
Obvious things first, cameras have way worse contrast and low light sensitivity than human eyes.
Humans have much more evolved logical thinking capacity, even the stupid ones can figure stuff out that modern AI struggles with.
Humans have other sensors, too that they use to plausibility check the picture they see. I.e. one of the best sensor fusion systems on the planet.
When in doubt humans can figure out whether it's a lens occlusion or a some other artifact in their vision by virtue of moving their head around.
There's probably other things I'm not thinking of. In any case to make full self driving work we should first start by using all available tech to make it safe. When you have safe tech you can slowly start removing individual sensors while verifying that safety remains high. As the experience and system evolves there will be optimization potential.
And until we have that low light thing and high contrast figured out, camera alone doesn't cut it.
Unrelated to FSD, what's a good example where frontier AI struggles with logical thinking that even stupid humans can figure out?
I personally feel like that isn't really true any more.
The recent one was should I drive my car to the car wash if it's only 300 feet from my house although it wasn't a slam dunk.
Right, but if these things are so rare that we all only know the one viral example, I feel like that lends credence to the models basically generally not having this problem.
Researchers built the Winnograd Schema Challenge more than a decade ago to assess common sense reasoning, and LLMs beat that challenge task around GPT 4.
They're not so rare. Hallucinations have been spotted everywhere, but the "driving a car to the car wash" is an amusing one that's been recently publicised. Developers aren't going to point out every time an LLM hallucinates an entire library.
I'd add to this, any moderately involved logical or numerical problem causes hallucinations for me on all frontier models.
If you ask them in isolation they may write a script to solve it "properly", but I guess this is because they added enough of these to the training set. But this workaround doesn't scale.
As soon as I give the LLM a proper problem and a small part of it requires numeric reasoning, it almost always hallucinates something and doesn't solve it with a script.
If the logic/math is part of a larger problem the miss rate is near 100%.
LLMs have massive amounts of knowledge, encoded in verbal intelligence, but their logic intelligence is well below even average human intelligence.
If you look at how they work (tokenization and embeddings) it's clear that transformers will not solve the issue. The escape hatches only work very unreliably.
If you ask this of any current day AI it will answer exactly how you would expect. Telling you to drive, and acknowledging the comedic nature of the question.
That's because AI labs keep stamping out the widely known failures. I assume without actually retraining the main model, but with some small classifier that detects the known meme questions and injects correct answer in the context.
But try asking your favorite LLM what happens if you're holding a pen with two hands (one at each end) and let go of one end.
https://chatgpt.com/s/t_69bcbeeaa2f081918113f42940803007
Seems fine to me?
Are you also an LLM? Do objects often begin rotating when you're only holding them with one hand?
Not unlikely that you're talking to a lot of AI-based AI boosters. It's easier to create astroturfed comments with chatbots than fixing the inherent problems.
I always like to ask AI to generate a middle aged blond man with gray hair. Turns out that all models with gray have black roots.
https://chatgpt.com/share/69bcd01a-a750-800d-95f5-3b840b9ee2...
https://gemini.google.com/share/edc223bb6291 (the try again gave a woman, oops)
Even Midjourney couldn't do it.
Nice. My test was always a blond bald guy. It always adds hair. If you ask for bald you get a dark haired bald guy, if you add blond, you can't get bald because I guess saying the hair color implies hair (on the head), while you may just want blonde eyebrows and/or blond stubble.
> When conditions are adverse, i.e. fog, heavy rain, the system simply shuts off and reverts back to manual driving.
I also own a Tesla, and there is no indication shown to the user that FSD's vision is degraded. They need to add this in.
For example, numerous times I have been driving my Tesla with FSD activated with ostensibly a clean and clear windshield when suddenly the car will do the "clean the windshield in front of the camera routine" without any indication that the car's camera is degraded. If people haven't seen this "clean the windshield routine", the wiper fluid is dispensed and the wiper will vigorously wipe in front of the camera only -- the rest of the windshield only gets a cursory wipe.
This indicates to me that the camera has poor visibility and I am not informed or aware of this as a driver, which is concerning. I am often curious if there is a thin occluding film on the windshield in the camera box in front of the camera, or something that has degraded FSD's vision, but they do not give you the ability to view the camera feed, nor do they notify you that the vision is degraded. I think a "thin occluding film" may be in the camera box because my normal windshield outside of the camera box started to show a thin chemical film after a couple of months, which apparently (according to a Google search) happens when a new car off-gasses, adding a thin film of chemical byproduct to the windshield. This is my first new car so I've no idea if this is normal or not.
Maybe you have not received an alert but, yes it does, and it's annoying as all hell. Dirt, sun, etc all pop an alert about degraded performance.
> yes it does, and it's annoying as all hell. Dirt, sun, etc all pop an alert about degraded performance
As with all things FSD, it does sometimes and not others. I've driving my parents' Tesla with FSD engaged and it did complain when the windshield got dirty but didn't say anything when it drove into fog. (I took over manually.)
Out of curiosity, was the camera view compromised? I would probably take over too, but like the poster above, I get the warning in all kinds of conditions.
Absolutely could be a clouded windshield on the inside (where it's really hard for normal people to clean). I brought this up when I got my last Model Y that it was foggy and they said it was "fine". Took it into service over a year ago and noticed they cleaned it. Clearly it's a problem but they're not being too transparent about it. I suspect they don't want to because it's not the easiest thing to remove the cover for normal people to clean.
Recent Tesla updates will detect dirty glass inside the camera enclosure and offer to schedule (one!) free glass cleaning. You can do it yourself if you have a trim tool. (A thin plastic prybar) https://www.notateslaapp.com/news/3327/tesla-now-offers-free...
I've always hated this argument. Why should I want a system that can drive "just as any human driver can"? I want it to be much much much better than the best driver out there, like 100x or 1000x better.
That argument is dumber and dumber any time I think about it. And we haven't even gotten into the fact that human eyes and its partner in crime the brain work much different than a camera.
Also, human eyes are way better than the best cameras in low light and dynamic range. We're also better at focusing and glare mitigation.
But yes I agree we should hold self driving cars to a higher standard.
Yeah, shining a q-beam at a tesla should not have it turn off FSD.
That’s how Musk works. He waves his hands and uses words like “orders of magnitude” and “first principles” and then you end up with 250-meter long tunnels under your city with Teslas driving back and forth in it and fanboys forget this thing called subways ever existed.
> humans can drive with two eyes and Tesla should be able to drive with X number of cameras
Systems built from cameras that are only nearly as capable as human eyes and software that is only nearly as capable as the human brain will fall short overall. To match or surpass human performance, the individual components need to exceed human abilities where possible--and that's where LiDAR provides an advantage.
I think the computer is WAY more capable than me because it doesn't get distracted, bored or tired.
If the cameras are a little less sharp in some sense is a minor rounding error in comparision.
> If the cameras are a little less sharp in some sense is a minor rounding error in comparision
Comparing human and camera acuity is difficult. But saying Teslas have cameras that are a little less capable than human eyes is unfounded.
That's correct. They are _far_ less capable than human eyes.
> because it doesn't get distracted, bored or tired.
You can say that about the original IBM PC from 1981. That doesn't make the IBM PC better at driving.
Birds can fly with two wings and humans should be able to fly with X number of limbs.
My Lexus does this too. I rarely get it due to weather however it’s how I know I’m past due for a car wash (dust on sensors)
In any case, it seems reasonable to me that the human should be making the decisions once conditions become adverse. It’s a simple liability issue for the car company but also I’d rather trust my own judgment if it’s only 80% certain it’s not driving me off a cliff.
One of the coolest features I saw like this was on a Jaguar XJL I had recently, that had an air particulate sensor and would automatically switch to recirc cabin air when that count was too high (i.e. dusty / smoky conditions).
Well that, but Elon is also downplaying the quality of the human vision system compared to the cameras Tesla's have.
They're just not that good - nowhere near human vision performance. And a human in a car has a surprisingly good view of the road and a very fast pan tilt system to look around.
Tesla's do not actually have 360 degree full binocular vision coverage - nor the ability for a camera to lean left or right to improve an ambiguous sensor picture.
So while I fully believe that vision only self driving could work, within the constraints of automobile platforms and particularly the Tesla and it's current camera deployments, it is not remotely similar enough to human visual fidelity for that to solve a valid argument.
Literally some of the highest dynamic range sensors attached to probably the best generally intelligent model existing we know of -
Humans are hard to compete with! I'd want LIDAR & RADAR just to give me an edge.
Just to elaborate:
Tesla’s actually have zero binocular vision coverage because the cameras have different focal lengths and are too close even if they did have the same focal lengths.
They are also below minimum vision requirements for driving in many states.
> if it can’t see it can’t drive and ironically that’s when it reverts back to human control.
That seems to be better than that try to continue to run the vehicle. What would you expect it to do?
If it is foggy I just don't drive, anybody that expects me to drive when conditions are bad can go and drive themselves.
“enjoy our robotaxi service except if it is foggy or rainy or snowy… if that is the case enjoy our competitors services” /s
Well, even robotaxi's can't beat the laws of physics. There isn't some kind of god riven right to transportation, it is always conditions permitting.
yea, when it rains the world stops and we all sit home and wait for the Sun to make an appearance. coolest part is that some places in the US get like 200+ rainy days and you get to stay home cause you have no choice, schools closed etc :)
I fail to see the connection.
> There isn't some kind of god riven right to transportation, it is always conditions permitting.
If the condition is a little fog and little rain and little snow/sleet I hate to break it to you but those are very permitting. In most of the continental US the number of days where driving conditions for an (below)average human and such that it is wiser not to get on the road is very small. If the "robo"taxi technology you posses cannot match that of a (below)average human you got nothing but vaporware you've been pitching as "done deal" for more than a decade.
Goal post moving detected.
> Well, even robotaxi's can't beat the laws of physics. There isn't some kind of god riven right to transportation, it is always conditions permitting.
:-)
>> "Elon has said several times that humans can drive with two eyes and Tesla should be able to drive with X number of cameras"
This must be one of the most stupid takes that gets repeated non stop by Tesla fans.
I just don't get it. Humans also have emotions and other biological senses that Computers don't have. You just cannot compare both. What makes human so good at driving is that they can react relatively well to unknown new events. Teslas cannot do that, and with the current hardware never will.
Which is absolutely why Tesla's stats can't be trusted.
"Number of miles driven in situations where [quality of conditions is greater than some threshold] versus all conditions."
"If you don't count the games we'd definitely have lost, our winning percentage is so much higher!"
This is a report about Teslas not doing that
"Elon has said several times "
At this point I truly don't understand why anyone cares what that liar says.
It's a normative claim.
It might be dishonest (if he doesn't believe it is possible), but I don't think he's saying that the current systems have reached the mark.
> Elon has said several times that humans can drive with two eyes and Tesla should be able...
And this is an amazingly stupid statement. Humans drive with most of their senses, not just vision. In fact our proprioception plays an important role in driving.
Even Tesla's use of cameras is poor because they're monocular and fixed in place. Most humans have binocular vision and those visual sensors have multiple degrees of freedom and the ability to adjust focus.
Even if you wanted to only use vision for navigation it's irresponsible to not use binocular configurations that get more reliable depth sensing.
The Tesla Model Y has 9 cameras.
That's enough for vastly more depth perception than any human eyes.
Birds has 2 wings.
I have 20 toes. Therefore I should fly 10 times better.
Amazing how you lost your critical sense just because you want Tesla to succeed and drink everything Musk says.
Nine cameras in each axis? Because the rear view cameras aren't doing anything for depth perception when driving in a forward direction.
Remember that Elon isn't actually an engineer
This. He makes a lot of unfounded assertions.
Elon is deeply involved in engineering decisions in his companies, and has by all accounts deep knowledge in those areas.
And yet randos on the web keep asserting he's not an engineer. Is there any factual basis for this? Is it just that he doesn't have a degree with that word in the title?
He has a physics degree instead of an engineering degree.
I suppose most people don't know that physics degrees are largely accepted as engineering degrees.
Being an engineer is neither having a degree in engineering which he doesn't have nor managing them and it certainly isn't owning a company that employs them. It's working as an engineer.
He continually says dumb things that aren't true or reasonable and has never worked in the field he's a rich boy who bought things with daddy's aparteid money.
> Does "Full Self Driving (assisted)" slow down under conditions of poor visibility?
Under conditions of poor camera visibility?
Humans drivers can see under conditions that cameras cannot, and people will otherwise misinterpret “visibility” as referring unpredictably (and with personal biases) towards either human sight and/or camera processing and/or lidar processing.
I think vision-only can certainly work for 99.9% of driving.
But it's that 0.1% of situations where the results will be catastrophic. Sure, you can detect vehicles, traffic cones, bikes (both bicycles and motorcycles), people, mopeds, traffic lights, lane markings, everything you'd expect on a road.
But what about the mattress that fell out of someone's truck? If the car doesn't know what a mattress is and what it looks like, it can't really adequately determine its size based on the monocular vision that Tesla has. Sure, maybe it could use motion vectors between video frames to make a guess, but I'm not convinced that's going to work well, especially relative to LIDAR.
Steering back to the subject at hand...
> "In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred."
I don't think I've ever had my Tesla disable Autopilot based on road conditions, though maybe it's because when conditions are bad, I've just taken manual control preemptively. I've let it go through construction areas where cones are guiding traffic outside the painted lines, and surprisingly, it's handled it fine, though I've only done this at low speeds (~20 mph).
Camera visibility is another story. In heavy rain at night, I've had it not allow me to enable AP, though I've never had it disable AP and tell me to take control. However, it HAS limited the cruise speed based on visibility.
All this to say...
...anybody buying Tesla's FSD is being swindled, as far as I'm concerned. "FSD (Supervised)" is a scam. If you have to supervise it, it's not self-driving. It's just a party trick that you have to watch to make sure nothing goes wrong.
99.9%? I'm not an expert on climate, but I would guess that at minimum 50% of the world faces snow or fog or heavy rain while driving at times. In some places, 30%+ of all driving year-round could be in snow-inclusive conditions.
99.9% of driving of sea-level, non-rainy, near-the-coast California/Austin weather, maybe. I would guess it's a no-go in the inland foggy conditions in CA, for example, or freezing rain in TX.
In terms of ALL conditions? 60-70% maybe.
I once saw a presentation I think from one of the Argo ai guys with a greatest hits reel of the long tail of driving. One of them was a stake bed truck with a bunch of pigs in the back, and the back gate opened up and the pigs were falling onto the highway and running around injured. Most people will experience something at this level of unusualness at least a few times in their lives, so you have to be prepared to handle it.
> vision-only can certainly work for 99.9% of driving
Human vision only? Sure. Cameras only? I'm sceptical of the quality of these cameras. Particularly given, unlike the human eye, they don't do the rapid involuntary movements that make human eyes ridiculously robust.
Mine shuts off because of conditions regularly. It's very annoying.
FSD is a better driver than me 99% of the time.
Hardly a party trick. My car handles 97% of my driving and it's on old hardware. Have you actually tried HW4? It's definitely on par with Waymo.
Also, I guarantee you FSD would recognize a mattress as an obstruction.
Have you actually tried Waymo? Because it handles 100% of the driving, and it turns out there’s a huge gulf between 97% and 100%.
Which is probably why you still can’t take a Robotaxi anywhere, but Waymo does millions of paid rides every month.
The difference between HW4 and older Teslas (before 2023) is night and day. HW4 absolutely can handle 99.9% or more of driving now whereas the older models drive like an idiot. I've never had to intervene on HW4 yet. It did well avoiding debris and animals, even seeing them heading towards the road. Worked well in heavy rain and snowstorms, even when lanes were barely visible. Handled moving and parked emergency vehicles with lights on correctly. Navigated through roads undergoing work (lanes shifted, closed off, pylons everywhere). Automatic parking actually works but not all the time yet.
No software update is going to give working FSD to all those older models on the road. I don't think they can even have HW4 retrofitted either. Ideally FSD would be disabled on those cars because it's confirmed never going to work properly but people paid for lifetime FSD on them (newer cars are subscription only).
Even if 99.9% is true (and there’s no reason to think it is), that’s nowhere near reliable enough to match Waymo or do truly autonomous driving. The average human is much better than 99.9%.
That's just me being pessimistic because I've seen how terrible FSD is on older Teslas, and only have personal experience using it in HW4 for ~2 months.
It's really unfortunate that FSD is judged as a singular feature when it is vastly different depending on the car. HW3 cars are getting cut down versions of FSD software, which is useless garbage because it drives like an idiot. HW2 and earlier are probably not getting FSD updates at all anymore. The majority of Teslas on the road are HW3 or earlier, run significantly worse (unsafe) FSD versions, and yet Tesla still allows it to be turned on.
https://patents.google.com/patent/US12164310B2/en
I think both.
As for road surface, yeah, that is how it should be (as you describe). Higher end Audi model/trims do road surface scanning and will adjust ride height, vehicle camber, even (to the greatest extent possible) help you avoid potholes while maintaining lane positioning. This is - or should be - table stakes.
"Cameras only" is a cost cutting for profit only feature that is subject to Wile E. Coyote attacks.
It is a shameful engineering design to leave out LIDAR and it has cost human lives.
Let's hope Musk does not leave out something important for the moon landing. His proposal for it is absolutely ridiculous, it looks like a children's book fantasy and many smaller top-heavy craft have already toppled on the moon!
It's not really shameful, if you want LIDAR, just buy a new Xiaomi SU7.
What's much worse is that Tesla is hiding the reasons for the crashes in the crash reports (the only company with FSD).
I want every other cars that is a danger to me to have LIDAR.
NASA already let 'em off the hook for testing an elevator to get down to the surface from the ship. The best part is no part/elevator!
One giant leap?
That thing ain't landing vertically on the moon anyhow. Look at what Neil had to do to find a remotely flat spot to put a much smaller ship down.
Yes but we now have very detailed topographical maps of the moon, and the GNC systems are way better. I expect they will carefully choose the exact landing spot and hit it within 10m or so. Certainly it lacks the heroism of eyeballing a good place to set down with 60 seconds of gas in the tank.
> One giant leap?
The gravity is weaker so just jump down /s
40 foot drops would be survivable on the moon.
It's 40 meters, so it is only survivable with jump jets. That would be cool though.
(ChatGPT answered, I was too lazy to computer 40m with gravity being 1.62m/s on the lunar surface.)
Velocity on impact: ~11.4 m/s km/h: ~41 km/h mph: ~25.5 mph
https://en.wikipedia.org/wiki/Starship_HLS
> It is a shameful engineering design to leave out LIDAR and it has cost human lives
I'm still waiting for a jurisdiction to either create a liability safe harbor for self-driving systems with lidar or outright ban cameras-only systems on public roads.
The introduction of self-driving technology at scale will inevitably result in a few accidents no matter how many sensors are used. It's the same with every new technology deployed in high-risk situations, including motor vehicles themselves. Even malfunctioning airbags have caused fatalities. The important thing is to identify the issue early so the company can address it before more people get hurt, which the ODI in this case is thankfully doing.
There is still no excuse for not using LIDAR in addition to anything else.
The dreaded Wile E Coyote attack, the bane of every commuter's existence.
https://www.youtube.com/watch?v=APY-spLNvHI puddle might do it tho
Isn't LIDAR similarly affected in rain/snow?
What are wile e coyote attacks? Painting a tunnel entrance on a wall?
If Tesla FSD is better than the average driver using it, isn't it still a net win, even if it might crash in different scenarios than a human? Especially because a human has a window to override FSD, but FSD doesn't really get a chance to override a human, except in limited scenarios like automatic emergency braking. And it gets more people using it by providing FSD at a lower cost?
>> What are wile e coyote attacks? Painting a tunnel entrance on a wall?
Yes!!! Thank you hopefully I will get credit for inventing this attack :)
>> IncreasePosts 39 minutes ago | parent | context | flag | on: Tesla: Failure of the FSD's degradation detection ...
What are wile e coyote attacks? Painting a tunnel entrance on a wall?
>> If Tesla FSD is better than the average driver using it, isn't it still a net win, even if it might crash in different scenarios than a human?
I don't think so because it is fooled by simple things that could easily be prevented and counting on a human to override is very risky because the human is simply not alert in the passive mode.
I think cameras are great, but there is no excuse not to also use LIDAR.
What if I am better than average driver? Thats anyway a very low bar for success and its not going to fly with general populations, laws and so on.
tesla cars killing people would be all over the news each time and nobody would care that similar or even marginally smaller amount of people would die anyway. People simply expect way more for giving up control.
Is it really that hard to see?
> What are wile e coyote attacks?
https://www.thedrive.com/news/tesla-autopilot-fails-wile-e-c...
> If Tesla FSD is better than the average driver using it, isn't it still a net win, even if it might crash in different scenarios than a human?
That was the analysis when the industry was in its infancy. I think a lot more work has to go into that argument for people to accept it now that the driverless car industry has been operating for a decade+, it's not really clear that this pans out.
For example, today you can look at a car and predict how it's going to behave because you have a good model for how people drive. But let's say in the future driverless cars are much "safer" on paper than human drivers, but they behave very differently from them such that it's hard for people to predict their behaviors.
Now you've created a highly dynamic system where you don't have a good model for the all the actors because some of them behave one way but others behave a completely different way. Does this increase the overall safety of the system or decrease it, despite the new actors being statistically safer than the current ones?
I don't think you can with great confidence say what's going to happen just by looking at crash rates and comparing to the current system. You're going to change the whole system by introducing large numbers of actors who "crash in different scenarios than a human"
Yes, this was something that the industry figured out in 2007. But because Musk has a lot of money, people do whatever he says, no matter how ignorant and deadly and dangerous. He never even had a cogent rationale, just absurd amounts of money. The shame is so profound and widespread it's hard to fathom really.
The renderings look like the cover of a Young Adult Sci Fi novel by Robert H. Heinlein. Have Spacesuit, Will Travel comes to mind. Probably the first true Science Fiction I have ever read!
His moon lander will deploy a parachute that keeps the lander suspended for as long as it takes for the AI to grok the fact that there is no air on the moon, and then it finally falls according to cartoon physics with a whistling sound you can hear through the vacuum.
https://www.youtube.com/watch?v=wRSHzenjiNA
Not too much to specifically take away yet, but appears that the degradation detection system did not function well. That is pretty egregious for FSD given a human won't be able to tell if FSD is confident or needs the human to intervene. I'd expect this to be a VERY important test case with high reliability of passing, but who knows.
Overall, yikes.
A reflection on a white truck makes it confident that it can move into that truck. I really have nothing else to say (happened to my friend).
Tesla is a premium product - if someone is going to use FSD they know its a luxury feature and should pay for the most comprehensive safety features available which in my mind would of (of course) require lidar
> Tesla is a premium product
I'm not sure that's the case anymore. Each Tesla model has gotten more spartan over the years. And the interiors have never been all that "premium" when compared with other manufacturers. They should still offer the most comprehensive safety features, but whether or not thats because of "luxury" or not, I'm not sure.
Tesla's marketing genius is that they made people believe it is a luxury car while they have a lower finish level than a Prius.
Tesla is not a premium product. They're a cheap brand that produces cheap cars.
Tesla is an expensive product, but it's never been premium as in "high quality". The interior has always felt bare like a portapotty, the body panels have always been misaligned, products like the CyberTruck have trim that is glued on and can be ripped off by a pinky finger. And of course driverless assist systems that have been known to decapitate multiple peoples and get fooled by a cartoon wall.
My wife and I drove a lot of EVs during the year we lived without a car while traveling (by plane) to different cities. Tesla has to be our least favorite. Not having CarPlay alone was disqualifying and made it worse than a low end Civic
Ironic to see this on the front page just next to the report about Waymos being 13 times safer than humans.
Not surprising at all though, considering the "safety first" vs "yolo" approaches, right?
Not in the least. Cutting costs by only using cameras and then claiming "well humans can do it so why not us" is one of the dumbest things I've ever heard.
Agreed. Whenever this topic comes up I'm still amazed so many people repeat the "two eyes" Musk take.
Fred Lambert is going to have a field day.
>In each of these crashes, FSD also lost track of or never detected a lead vehicle in its path.
Oh good, Tesla vehicles apparently struggle with the task of "Hey, there's a car there" in degraded conditions.
Probably don't need to worry about that while driving though.
>Tesla also described internal data and labeling limitations that prevented a uniform identification and analysis of crash events with the subject system engaged. ODI believes this limitation could have led to under-reporting of subject crashes over portions of the defined time-period.
I thought Tesla was a "Software" company!
This report is insanely vague though. It's very preliminary, opened yesterday.
> This report is insanely vague though. It's very preliminary, opened yesterday.
Yeah I think posting this here is premature without any details.
Maybe I'm misremembering things, but I feel like 4-5 years ago we didn't have these clickbait headlines that fed political discourse. It feels like reddit culture has permeated this place for a while.
Anytime one of Elon Musk's company has a misstep, the headlines violently shoots to the top of the front page.
It's not premature. Every single expert in this field has warned about these issues since even ~2012 days when these types of platforms were being publicly discussed.
This is an expected and understood result given the hardware and software involved.
You will not get past these issues without a RADICAL improvement in camera technology paired with specialized, dedicated processing hardware matched against several (and I mean several several) "common" environment profiles.
FSD is a scam. It's not safe. It is not technically sound.
The fact that there aren't many more accidents with the system is a by product of consistent and well thought out road standards, car standards, other safety systems present on cars, and driver education.
You’re just reciting your priors, which I think supports GP’s point: no one is getting new information out of the posted link, so it’s probably premature to comment on it.
You are misusing some of those words and I'm not even sure how to interpret them even with a hefty dose of good-faith reading.
The report is not premature and it's not premature to comment on them.
Can you clearly and explicitly state why you feel like the report or the commentary is premature?
I was agreeing with kvuj and rguyorama that the original link is to an announcement that an investigation is happening, and it's too early in the process to productively discuss it. People have very strong and emotional pro or anti stances on the Tesla Vision system in general, and love an excuse to have the debate again, but in the comments here where people are talking about their stance you might notice that they don't reference any specific facts from the linked report to support their arguments. This is because the report is still vague at this stage and doesn't provide any specifics that inform the discussion.
To be fair, Tesla vehicles are recalled more than any other automaker and it isn't close https://www.autoweek.com/news/industry-news/a43625242/tesla-...
Tesla's FSD saga isn't just a 'misstep'.
> clickbait titles that fed political discourse.
Eh, while I agree with you on the permeation of reddit culture on this board, this post is in no way clickbait or political in nature.
In fact, the title of this post is literally copy and pasted from the problem description.
People have been warning about this for over a decade, others have died as a result of the lack of action, and yet we're still sitting on our hands waiting for the government to catch up to what expects have known for years - Tesla Autonomy is fundamentally busted/cooked/broken, and needs to be outlawed.
The reason this stuff shoots to the top is because Elon Musk and his companies are a red alert menaces to society. People are sick of him and the damage he causes with his money, and wish he and his cars would just fuck off for good. From his cars slamming into people and property, his website spreading hate, his starships raining fiery debris, or he's personally taking an axe to government programs we rely on, everyone has cause to be absolutely done with his antics.
But since businesses can apparently unleash autonomous murderbots onto the public roadways with zero repercussions for 10+ years, I guess we'll have to settle for endless flamewars about Musk's campaign of destruction on HackerNews instead.
You know, I agree with everything you said, and I still wish this discussion weren’t happening on HN.
This moved from the top spot on the front page so fast
Tesla / Elon is one of the topics where HN can't have a meaningful discussion.
Some people upvote everything slightly negative about the topic: "see how bad it is!!!"
Some people flag everything slightly negative about the topic: "we rather not let you see how bad it is"
To be fair, much of the criticism is deserved with the deadlines that are never met, the manufacturing defects, engineering defects, cost cutting measures, etc... (and only in terms of Tesla not the overall Musk footprint)
Looks like you're right: https://hnrankings.info/47445175/