#Tesla’s new supercomputer is to blame for its Autopilot tech switch

Regarding its function, Karpathy commented:

“We have a neural net architecture network and we have a data set, a 1.5 petabytes data set that requires a huge amount of computing. So I wanted to give a plug to this insane supercomputer that we are building and using now. For us, computer vision is the bread and butter of what we do and what enables Autopilot. And for that to work really well, we need to master the data from the fleet, and train massive neural nets and experiment a lot. So we invested a lot into the computer.”

The supercomputer collects video from eight cameras encircling the vehicle at 36 frames per second, which provides tremendous amounts of information about the environment surrounding the car.

Elon Musk has been teasing a neural network training computer called “Dojo” for some time now. 

Dojo, our training supercomputer, will be able to process vast amounts of video training data & efficiently run hypersparce arrays with a vast number of parameters, plenty of memory & ultra-high bandwidth between cores. More on this later.

— Elon Musk (@elonmusk) February 2, 2020

But Tesla’s new supercomputer isn’t Dojo, just an evolutionary step towards it, and Karpathy didn’t want to elaborate on the company’s ultimate computer project.

Overall, we can now grasp better why Tesla turned to a camera-based system for its Autopilot.

But even though the supercomputer’s abilities are impressive, I feel that the company took a big leap of faith, given that the neural network which collects and analyzes image data is still in an experimental stage. What’s most worrisome is that this experiment relies on actual human drivers, with unknown safety measures for them.

If you’re interested in watching Karpathy’s full presentation, you can find it below.

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