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Originally Posted by zamler
Which is why I said "time will tell what the correct approach is". I'd be curious as to why you think Elon is making the wrong call here and should instead go all in on a multi sensor and camera system.
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Articles like this:
https://www.inverse.com/innovation/b...ving-companies
Tesla is the loudest, but plenty of companies are going about the work quietly, and I beleive they will have more success.
There are plenty of opinions that run counter to the Tesla hype, I've read plenty. I happen to think that these things are true:
1)true AI is needed to replicate the human driving experience with our senses(Tesla's goal)
2)true AI is so far away that you can't plan an FSD around it
3)without true AI, you must make it up elsewhere
4)additional sensors are one way to get around the limitations of not having true AI.
This race is far from over, I just don't think Tesla is on the right path to reach the finish line, and don't think a handful of $30 cameras can get them there. Many others agree.
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The logic behind collecting ever more data is that you will capture more of the rare scenarios that could flummox your AI, but there’s a fundamental limit to this approach. “Eventually you have unique cases. And unique cases you can’t train for,” says Weinberger. “The benefits of adding more and more data are diminishing at some point.”
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https://spectrum.ieee.org/cars-that-...y-self-driving