@ManChild001 I was just reading through the article below (it's a fascinating read by the way) and it made me think about your previous Post #: 54893103 in which you raised the possibility that Elon "starts focusing on vision only because he knows AKIDA is great at this and ditches radar and lidar because he knows he won't need it."
I thought it was particularly interesting because the last paragraph also raises the possibility of Tesla "trying new neural architectures in the future"...
We can always dream!!!
(Extract Only)
The AI community is divided over whether you need to explicitly integrate causality and reasoning into deep neural networks or if you can overcome the causality barrier through “direct fit,” where a large and well-distributed dataset will be enough to reach general-purpose deep learning. Tesla’s vision-based self-driving team seems to favor the latter (though given their full control over the stack, they could always try new neural network architectures in the future). It will be interesting to how the technology fares against the test of time.Tesla AI chief explains why self-driving cars don’t need lidar
By Ben Dickson - 28 June 2021
https://bdtechtalks.com/2021/06/28/tesla-computer-vision-autonomous-driving/.
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