Team focus on vision which is by far the highest accuracy and bandwidth sensor allows for a faster rate of safety innovation given a constant team size.
The bottom line seems to be that the part shortages would have slowed production and cost cutting. The rest of the story seems like a fable to me. It was pretty clear Tesla removed the radar because it couldn't get enough radars.
The interview didn't really impress me. I'm sure Andrej is bound by NDA and not wanting to sour his relationship with Tesla/Elon but a lot of the answers were weak. (On Tesla and some of the other topics, like AGI).
I also expect an automated system to be better than the poor human in the drivers seat.
Lights?
It has everything to do with cost cutting?
Tesla has ca. 1000 software engineers working in various capacities. The ca. 300 that work on car firmware and autonomous driving are probably not participating in the Twitter drama.
https://www.bloomberg.com/news/articles/2022-10-27/tesla-eng...
And the corresponding HN thread: https://news.ycombinator.com/item?id=33365065
Now, simple color matching models are used in some fancy toasters on white bread to determine brownness. That's the most I've ever seen in appliances...
By hiding the ball that you are starting from a much more unsafe position
They are literally the least accurate of all sensors.
Radar tells you distance and velocity of each object. Lidar tells you size and distance of each object. Ultrasonic tells you distance. Cameras? They tell you nothing!
Everything has to be inferred. Have you tried image recognition algorythms? I can recognise a dog from 6 pixels, the image recognition needs hundreds, and has colossal failures.
We have no grip on the results AI will produce and no grasp on it's spectacular failures.
Driving will have to be solved without AI
