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"LiDAR is lame!"
Not even inanimate objects are safe from his projection.
Musk maintains that camera-only technology is the most “human” way to approach self-driving, since people use their eyes to navigate the road.
Newsflash for you, Elon. Most people are terrible drivers. We should be striving to do better as a society, not imitate something that already sucks.
He also claimed he wanted to make self driving safer than humans. You can't do that well if the car has the same visual limitations a human has.
When Autopilot started I would hear people joke about how it couldn't drive in bad weather where people could. They seem to miss the point that when the computer begins to lose information needed to navigate, it's going to stop driving. People lose information and they keep going. One of these is safer.
Of course if Elon had thrown everything at the car to make it have information even in terrible or odd conditions, there'd be more merit in claiming those cars are safer than humans. But between genius brain (however much there is) and narcissist, the latter won out in doing it his way because others were doing it the obvious way.
The safest roads would be fully automated and tapped into each other. We wouldn't even need lights at intersections. A hybrid mix of human/computer traffic is always going to be dangerous.
What’s funny here is that Tesla used all of the Tesla owners driving habits to train.
One thing this means is that when it’s “socially acceptable” to go +20mph it’s going to. Not that that makes it right, but what it also means is that they didn’t sanitize their data.
So think of the worst Tesla driver you know. They helped train FSD.
I mean the data IS sanitized, but not to the level that would have required certain human things to not happen.
Part of what's led to its improvement over the years is better going through the data and removing bad things or properly labeling them.
That left turn that was cut to short makes it into the first set of training as a cursory look at it seemed okay, and then they see that cars are cutting turns to short. So they go through the data again and try to find examples of it and then label them properly so it doesn't think it's okay.
But that's not a simple process, and then trying to only have certain good behaviors gets really hard because they're actually very uncommon in normal driving because the bad behavior is socially acceptable.
You can establish rules in top of the neural net output. No acceleration higher than 0.3g. No speed higher than the limit + 5 (if you know what the limit is, which teslas struggle with to this day). No running of red lights.
The worst Telsa driver I know. Hum. That’s a tough competition.
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