[steveBK123]

Autonomous car devs seem to lack a mindset of "things that never happened before happen all the time"

No matter how many miles your car drives and how much data it collects, it will encounter a novel situation on the road. Unless it has higher levels of context / overriding safeguards / etc, a data driven only ML approach is going to fail dangerously.

One favorite example is the year old video of Tesla FSD attempting to unprotected left turn thru an oncoming trolley car while the center display 3D rendered the trolley car in motion. Clearly there is no overriding safety guardrail model above the path finding model. If the car can 3d render the object it is aware it exists.

And so we go on being perpetually "five years away" from self driving.

[schiffern]

> a data driven only ML approach is going to fail

https://en.wikipedia.org/wiki/Nirvana_fallacy

[nrfulton]

> https://en.wikipedia.org/wiki/Nirvana_fallacy

This is a common counter-argument, and sounds reasonable on face, and is even true in the limit. But we're not anywhere close to the limit. Reminding the dear reader of the actual context clears this point up quickly:

>> One favorite example is the year old video of Tesla FSD attempting to unprotected left turn thru an oncoming trolley car while the center display 3D rendered the trolley car in motion.

We're not asking for Nirvana. We're asking for not throwing up one's hands and declaring that perfect CV is impossible as one mows down pedestrians and trolley cars that one's CV system is clearly capable of identifying. For example.