I'll say this time and again. Tesla's decision to use cameras instead of Lidar is a fundamental constraint that causes downstream problems. Lidar is accurate 1

I'll say this time and again. Tesla's decision to use cameras instead of Lidar is a fundamental constraint that causes downstream problems. Lidar is accurate 100% of the time. Tesla cameras create an almost as accurate reconstruction, sure. But, approaching 100% accuracy is very different from 100% accuracy. I previously thought that having a low latency radar system was a genius way to get around the hard constraints of not hitting a physical object 100% of the time. But, in Elon's infinite wisdom, he removed it. From Tesla's manufacturing tolerances to their range claims to their FSD systems. Tesla's approach of '99% of the time it works 100% of the time' is the kind of toxic carelessness that software engineers have allowed to seep into a hard engineering discipline where real lives are on the line. (As a once employed mechE making cars, and now an ML person writing software, I feel like I have the perspective to make this egregious claim) 'Marginally better than a distracted karen' is not the utopian FSD future I was promised. P.s: I understand that all sensors have noise, so any claim to a 100% is dubious. But, for the purposes of this discussion, the implied meaning of a 100% should be clear.