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They’re not tackling it with an end to end model - all of the ML at Tesla is used for perception (and some prediction - I think there’s a cut-in prediction head
by jowday 5y ago
They’re not tackling it with an end to end model - all of the ML at Tesla is used for perception (and some prediction - I think there’s a cut-in prediction head running), which then feeds into traditional robotics algorithms, like I described in the parent comment.
If you listen to any of AK’s talks he only really talks about perception and he’s basically said that right now none of their planning is based on ML models. This is backed up by what reverse engineers have found in their Tesla’s.
- rcMgD2BwE72F 5y agoYes, but we've all heard about Dojo https://youtu.be/Ucp0TTmvqOE?t=8809 https://youtu.be/Ucp0TTmvqOE?t=8809 https://www.inverse.com/innovation/tesla-dojo-self-driving-vehicles https://www.inverse.com/innovation/tesla-dojo-self-driving-v..., and Software 2.0 https://karpathy.medium.com/software-2-0-a64152b37c35 https://karpathy.medium.com/software-2-0-a64152b37c35
- jowday 5y agoAfaict dojo is just a training asic integrated into a cluster, just like other big tech companies have had for years. If anything at all it’ll just mean a lower cloud or compute bill for Tesla. It’s telling that Elon is the one that likes to mention Dojo and Karpathy is generally quiet about it - it’s not actually a quantum leap in ML capabilities.