The news: At its second annual “AI Day,” Tesla announced that it is developing a “D1” chip for its Dojo supercomputer, reaffirming its commitment to using only computer vision for driverless vehicles and removing its dependence on lidar.
More on this: More quixotically, Tesla also said it’s developing a bipedal humanoid AI robot codenamed “Optimus.” Tesla did not share a use case for the robot, but said it could perform tasks either unsafe or too “repetitive” for humans.
How we got here: Tesla announced it was building a supercomputer to train its AV neural networks in June this year.
The elephant in the room: Tesla’s commitment to computer vision-based autonomous driving occured under the shadow of mounting regulatory and legal pressure.
What’s next: Tesla could be on a collision course with regulators over its decision to continue training its neural network on open roads, without large public buy-in.
With all this in mind, the NHTSA may ramp up efforts to regulate where and how Tesla can test is new driver assistance updates, which could potentially slow down the volume of raw data the company can use to train its neural network.
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