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Re:$100B later, autonomous vehicles are still a car-wreck by gamblor956 on Saturday October 15, 2022 @02:37PM (#33217365)
My perceptions contradict this article: (1) The technology is progressing faster than is generally recognized, with vehicles getting progressively better at dealing with edge cases and handling failures gracefully. (2) Judging by the videos I've watched online, Tesla is significantly ahead of everyone else.

We must be watching different videos. And experiencing Teslas differently. I see Teslas constantly slamming on their breaks on freeways, swerving across lanes, and avoiding collisions by the narrowest margins only because their owners took control before certain death. And that's just driving around in L.A. traffic, the YouTube videos are even worse. Tesla's vaunted camera-based system still can't recognize white semis or other broad, flat obstacles that a human or radar-based system would recognize instantly.

Tesla was ahead of their competitors, several years ago. Now they're way behind, and dropping further behind with every "update" that addresses the problems that got media coverage with "solutions" that indicate brittle, manual programmer overrides rather than any sort of scalable AI-driven capability.

It doesn't matter how far ahead you were at the beginning of the race, it matters how far ahead you are at the finish line.

Re:$100B later, autonomous vehicles are still a car-wreck by iknowstuff on Saturday October 15, 2022 @06:07PM (#33219110)
Oh my dog.

Part of this is the fault of Tesla's marketing, but you are wildly off mark. The cars you are seeing are Autopilot, not FSD. Most of them are even the even older, radar-based autopilot.

Tesla Vision has no issues detecting white semis crossing your path. Vehicles with radar, on the other hand, struggle with discerning those from overhead bridges, so if one appears close to a bridge, you're SOL due to whitelisting.

Tesla Vision in FSD is a much, much more developed version which has been excellent about detecting its environment, especially now with the new occupancy network. Its decision making needs work but you will notice, when watching all those videos, that detection of vehicles - even occluded ones - is not a problem at all.

Your comment about useless data is also wrong. They are experts in their field and they know exactly what type of data they need. Both Tesla and Karpathy himself have shown on multiple presentations that they focus on training unique/difficult situations because more data from perfect conditions is not useful to them anymore. They have shown exactly how they do it, and even showed the great infrastructure they've built for autolabeling.

Your claim about cruise control from competitors being equal to FSD is laughable. They don't even match Autopilot: https://www.youtube.com/watch?v=xK3NcHSH49Q&list=PLVa4b_Vn4g...

Re:$100B later, autonomous vehicles are still a car-wreck by gamblor956 on Tuesday October 18, 2022 @07:40PM (#33255572)
Going to post this here as a rebuttal, a video made by Tesla fans that shows some severe shortcomings in the current version of FSD.

https://insideevs.com/news/616509/tesla-full-self-driving-be...

TLDR: a Tesla can't identify a box in the road. IO can finally identify people, but it still doesn't do a good job of avoiding them.