This used to be my job. They’re not controlling the cars. They’re basically completing real-time CAPTCHAs, telling the car whether the cameras see a stop sign, a bicycle, temporary barriers, etc. If the car can’t identify an object that could possibly cross its path, it pulls over and stops until an operator can do a sanity-check on whatever the car’s confused by. They only need to be able to identify objects on the road, not know the rules of the road.
I think the interventions here are more like: “that’s a trash can someone pushed onto the road - let me help you around it” rather than: “let me drive you all the way to your destination.”
It’s usually not the genuinely hard stuff that stumps AI drivers - it’s the really stupid, obvious things it simply never encountered in its training data before.
Saw this blog post recently about waymo’s sim setup for generating synthetic data and they really do seem to be generating pretty much everything in existence. The level of generalization of the model they seem to be using is either shockingly low or they abort immediately at the earliest sign of high perplexity.
I’m guessing it’s the latter, they need to keep accidents to a minimum if they’re ever going to get broad legislation to legalise them.
Every single accident is analysed to death by the media and onlookers alike, with a large group of people wanting it to fail.
This is a prime example, we’ve known about the human intervention for a while now but period people seem surprised that those people are in another country.
Broadly speaking, an AI driver getting stumped means it’s stuck in the middle of the road - while a human driver getting stumped means plowing into a semi truck.
I’d rather be inconvenienced than killed. And from what I’ve seen, even our current AI drivers are already statistically safer than the average human driver - and they’re only going to keep getting better.
Ai drivers have run over and crushed people slowly before too though because they didn’t see the person as an “obstacle” to be avoided, or because they were on the ground, it didn’t see them
And they always will. You need to look at the big picture here, not individual cases. If we replaced every single car on US roads with one driven by AI - proven to be 10 times better a driver than a human - that would still mean 4,000 people getting killed by them each year. That, however, doesn’t mean we should go back to human drivers and 40,000 people killed annually.
I think your logic is flawed. The discussion is about a specific form of transportation. By your own logic, you should be suggesting that people fly everywhere.
Yes. AI human transformation drones make far more sense. Much easier to avoid things because airspace can be controlled. Just need to figure out how to do efficiently that the ride is more than 5 minutes.
For long distance maybe, but immediately saying we should all fly everywhere because it has the fewest deaths per passenger mile would really not be looking at the big picture.
I fully agree with you, but there is the issue of robotaxis crashing 3x as often as human drivers - and thats with a human supervisor on board. So if we switched completely to AI cars with the current level of integration, thats 120000 people killed.
New HW4 Teslas do in fact include a front-facing radar, but it’s currently only used for collecting data - not for FSD.
Still, gotta give them credit for getting by with vision-only quite well. I don’t personally see any practical reason why you absolutely must include LiDAR. We already know driving relatively safely with vision only is possible - all the best drivers in the world do it.
current AI drivers are already statistically safer than
As long as they use level 3 autonomous cars and then cheat with remote operators instead of using real level 5 cars, such statistics remain quite meaningless.
However, they tell about the people who use them as arguments.
As the OP stated, the low velocity cases are not causing deadly accidents. And you can’t drive by wire at high speed (too much latency). So I doubt it’s affecting the stats in any meaningful way.
Honestly I much prefer they have a human as a backup than not.
And these foreign crowd workers know the local traffic rules? Maybe they even have regular drivers licenses?
This used to be my job. They’re not controlling the cars. They’re basically completing real-time CAPTCHAs, telling the car whether the cameras see a stop sign, a bicycle, temporary barriers, etc. If the car can’t identify an object that could possibly cross its path, it pulls over and stops until an operator can do a sanity-check on whatever the car’s confused by. They only need to be able to identify objects on the road, not know the rules of the road.
Here’s a short video of someone receiving help. They explain briefly that they provide instructions to the vehicle, they don’t do the actual driving
https://youtube.com/shorts/8ltYKcswq6A
That is like the person steering to avoid a collision while cruise control and lane assist are on, it isn’t actually fully autonomous.
I think the interventions here are more like: “that’s a trash can someone pushed onto the road - let me help you around it” rather than: “let me drive you all the way to your destination.”
It’s usually not the genuinely hard stuff that stumps AI drivers - it’s the really stupid, obvious things it simply never encountered in its training data before.
Saw this blog post recently about waymo’s sim setup for generating synthetic data and they really do seem to be generating pretty much everything in existence. The level of generalization of the model they seem to be using is either shockingly low or they abort immediately at the earliest sign of high perplexity.
I’m guessing it’s the latter, they need to keep accidents to a minimum if they’re ever going to get broad legislation to legalise them.
Every single accident is analysed to death by the media and onlookers alike, with a large group of people wanting it to fail.
This is a prime example, we’ve known about the human intervention for a while now but period people seem surprised that those people are in another country.
Feels like the robot hoovers when they encounter an unexpected poo.
Hm. Interesting. But that makes them look even mode incapable than I feared.
Broadly speaking, an AI driver getting stumped means it’s stuck in the middle of the road - while a human driver getting stumped means plowing into a semi truck.
I’d rather be inconvenienced than killed. And from what I’ve seen, even our current AI drivers are already statistically safer than the average human driver - and they’re only going to keep getting better.
They’ll never be flawless though. Nothing is.
Ai drivers have run over and crushed people slowly before too though because they didn’t see the person as an “obstacle” to be avoided, or because they were on the ground, it didn’t see them
And they always will. You need to look at the big picture here, not individual cases. If we replaced every single car on US roads with one driven by AI - proven to be 10 times better a driver than a human - that would still mean 4,000 people getting killed by them each year. That, however, doesn’t mean we should go back to human drivers and 40,000 people killed annually.
By that logic…
We should really be investing in trains and buses, not cars of any type.
I think your logic is flawed. The discussion is about a specific form of transportation. By your own logic, you should be suggesting that people fly everywhere.
Yes. AI human transformation drones make far more sense. Much easier to avoid things because airspace can be controlled. Just need to figure out how to do efficiently that the ride is more than 5 minutes.
For long distance maybe, but immediately saying we should all fly everywhere because it has the fewest deaths per passenger mile would really not be looking at the big picture.
I fully agree with you, but there is the issue of robotaxis crashing 3x as often as human drivers - and thats with a human supervisor on board. So if we switched completely to AI cars with the current level of integration, thats 120000 people killed.
That’s Tesla, not Waymo. Tesla’s hardware is shit and does not even include lidar. You can’t judge the entire industry by the worst example.
New HW4 Teslas do in fact include a front-facing radar, but it’s currently only used for collecting data - not for FSD.
Still, gotta give them credit for getting by with vision-only quite well. I don’t personally see any practical reason why you absolutely must include LiDAR. We already know driving relatively safely with vision only is possible - all the best drivers in the world do it.
Tesla made the idiotic decision to rely entirely on cameras, waymo used lidar and other sensors to augment vision.
As long as they use level 3 autonomous cars and then cheat with remote operators instead of using real level 5 cars, such statistics remain quite meaningless.
However, they tell about the people who use them as arguments.
As the OP stated, the low velocity cases are not causing deadly accidents. And you can’t drive by wire at high speed (too much latency). So I doubt it’s affecting the stats in any meaningful way.
Honestly I much prefer they have a human as a backup than not.
Make humans drive as slow as these cars and deaths will drop too.
The cars aren’t driving that slow the vast majority of the time…
Can you imagine the lawsuits?
No. I am not from there. Feel free to explain what is possible.
In my country we have a law that requires such remote operators to have a license that is valid here.
(Sadly, we do not require them to reside here)