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What is Tesla’s Dojo Supercomputer? Chat With Neural Net Expert James Douma (Ep. 180)

Dave Lee on Investing

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Published on Nov 10, 2020
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, .

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0:00 - Intro
0:45 - 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

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💁🏻‍♂️ Disclaimer: All content on this channel is for informational and educational purposes only and should not be construed as professional financial advice. Should you need such advice, consult a licensed financial or tax advisor. No guarantee is given regarding the accuracy of information on this channel. Author is long TSLA, SQ, LMND and other stocks at time of original video publish date.
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