Elon Musk took to Twitter on Friday to share a new development in Tesla. He revealed that the firm is developing a Neural Network training computer called “Dojo” that will be a “beast.”
Tesla is developing a NN training computer called Dojo to process truly vast amounts of video data. It’s a beast! Please consider joining our AI or computer/chip teams if this sounds interesting.
— Elon Musk (@elonmusk) August 14, 2020
But that’s not all. A follower asked the CEO what will be the next big public release that shows a massive leap in Autopilot Full-Self Driving (FSD). Musk responded that the FSD improvement will come as a “quantum leap.”
“The FSD improvement will come as a quantum leap, because it’s a fundamental architectural rewrite, not an incremental tweak. I drive the bleeding edge alpha build in my car personally. Almost at zero interventions between home & work. Limited public release in 6 to 10 weeks,” said Musk.
This did not come as a surprise to many of Musk’s dedicated supporters. This is because the CEO had already stated in a Q2 2020 Earnings call that Tesla was working on advancing its artificial intelligence structure in order to improve the Autopilot features’ capabilities.
“Well, the actual major milestone that’s happening right now is really a transition of the autonomy system of the cars, from thinking about things in — like two-and-a-half feet. It’s like think — things like isolated pictures and doing image recognition on pictures that are harshly correlated in time but not very well and transitioning them to kind of a 4D, which is video essentially,” said Musk.
Musk added that going from 2D to 4D would be a giant improvement. The new system will interpret things like traffic lights, stops, turns, and changes in acceleration in a video setting.
In the call, Musk also already mentioned that he was going from home to work with little to no intervention despite going through widely varying situations. He added that the latest alpha build of the full self-driving software is “amazing” and that because of this he feels confident that full self-driving functionality will be ready by the end of the year.