The Bitter Lesson (2019)
And this is why I&#x27;m much less pessimistic than most about robotaxis.<p>Waymo has a working robotaxi in a limited area and they got there with a fleet of 600 cars and mere millions of driving data.<p>Now imagine they trained on 100x cars i.e. 60k cars and billions of driving data.<p>Guess what, Tesla already has FSD running, under human supervision, in 60k cars and that fleet is driving billions of miles.<p>They are colleting 100x data sets as I write this.<p>We also continue to significantly improve hardware for both NN inference (Nvidia Drive, Tesla FSD chip) and training (Nvidia GPUs, Tesla Dojo, Google TPU and 26 other startups working on AI Hardware <a href="https:&#x2F;&#x2F;www.ai-startups.org&#x2F;top&#x2F;hardware&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.ai-startups.org&#x2F;top&#x2F;hardware&#x2F;</a>)<p>If the bitter lesson extends to problem of self-driving, we&#x27;re doing everything right to solve it.<p>It&#x27;s just a matter of time to collect enough training data, have enough compute to train the neural network and enough compute to run the network in the car.