Is there a standard measure of how "understandable" an accent is? It is quite a subjective thing based on where one is from.
You mentioned India previously - there are 350 million English speakers in South Asia (with marginally varying accents) who can understand each other perfectly well. They may not, on the other hand, find it as easy to understand American accented English. Who should change?
I find German and Singaporean/Malaysian accented English easier to understand than most American accents, because they share phonemes with the languages I speak. Which is more understandable in this case?
The assertion I'm challenging is that there is a "correct accent" that is universally intelligible to all, especially for a language as widely spoken as English. I think the only way we can bridge this gap is to be better listeners. Realistically, it doesn't even take a couple of weeks to become comfortable understanding a different accent, probably much less if you pay attention. Personally, I find this issue to be very intertwined with the tolerance we have to develop to live in a multicultural society.
Dunno what world you live in. I have two different coworkers who specifically have been told they need to work on their accent. One is Kenyan and the other is Welsh.
You said you were American (though it's not clear if you work in America, so forgive the assumption) but if this was official feedback then it seems to be in violation of Title VII of the Civil Rights Act. There seem to have been successful lawsuits (example, example - see Brown and Brown Chevrolet, 2008) for the same.
Not a fan of Musk at all, but Lidar is quite expensive. A 64 line lidar with 100m+ range was about 30k+ a few years ago (not sure how prices have changed now). The long range lidar on the top of the Waymo car is probably even higher resolution than this. It's likely that the sensor suite + compute platform on the waymo car costs way more than the actual Jaguar base vehicle itself, though waymo manufactures it's own lidars. I think it would have been impossible to keep the costs of Teslas within the general public's reach if they had done that. Of course, deploying a self driving/L2+ solution without this sensor fidelity is also questionable.
I agree that perception models will not be able deal with this well for a while. They are just not good enough at estimating depth information. That being said, a few other companies also attempted "vision-only" solutions. TuSimple (the autonomous trucking company) argued at some point that lidar didn't offer enough range for their solution since semi trucks need a lot more time to slow down/react to events ahead because of their massive inertia.