"If your errors are irreversible and you can't average them out, and your application is in open domain where there will never be a shortage of out of distribution samples, you are royally screwed. That is why I'm so skeptical of self driving cars, since that is exactly the application described."
For me it's obvious the real issue are the edge cases - of course a self-driving car does fine in 99%+ of cases, but those small % of outlier cases are the ones where people potentially die. I suspect an entirely different approach is required to supplement/supplant the deep learning one and fully autonomous vehicles are still quite some way off.
I do like all of the driver assist advantages coming out of this work however! I don't think you can underestimate the value of having technology that works _with_ a driver until the point where self-driving cars become viable.
[0]:https://blog.piekniewski.info/2020/06/08/ai-the-no-bullshit-...