I discuss why Tesla needs Dojo supercomputer, why labeling is so important, and how Tesla is rapidly improving their full-self driving system. View Full Recording of this 11/9/20 Interview with James Douma, https://youtu.be/1IHyEvJr_ww .

Here are the timestamps:

00:45 - Who is James Douma

1:30 - What is Dojo?

4:05 - How Tesla makes the system better

4:30 - Labeling data

5:15 - How to leverage labeling

6:00 - What is 3D structure through motion

8:55 - Dojo bringing down computational costs

10:20 - GPUs for Neural Nets

11:50 - Custom silicon for neural nets

12:20 - Dojo’s current progress

13:50 - What is labeling

18:55 - Training neural nets

21:24 - How neural nets work with human labelers

23:30 - Supervised training

24:00 - Misperception of what Tesla is doing

25:20 - What data the fleet sends to Tesla

29:50 - Embedding

34:00 - Compounding improvement to system

35:20 - Detecting edge cases

36:25 - Driver interventions

41:35 - What can be send to cars without a big firmware update?

44:05 - Perception engine for FSD vs planning system

James Douma on Twitter: https://twitter.com/jamesdouma

James Douma on TMC: https://teslamotorsclub.com/tmc/members/jimmy_d.42749/#postings

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