Tesla AI Day of 2022 was a follow-up to Elon Musk’s promises last year to produce a robot called Optimus that can handle dangerous and repetitive tasks. There is a lot of synergy between the self-driving technology powered by Tesla’s electric car arm and the challenges facing the Optimus robot. Let’s take a closer look at Tesla’s new robot and the progress of their work on artificial intelligence.
Before you dive into the reboot, you should keep in mind that this presentation is primarily geared toward recruiting talent for Tesla. If you are looking for a series of delightful product ads, you will be disappointed. However, if you want to peek behind the curtain at Tesla and take a look at what might one day become available, feel free to check it out.
Show started with Android Tesla Optimus Go out for a walk and wave to the crowd. The team told the audience that this was the first time it had been shown without a rope.
The object recognition engine he uses to interact with the world is the same as that used in Tesla cars. A video showed a working prototype picking up a box inside Tesla offices, as well as navigating through a crowded office full of people and furniture.
A second prototype was made made exclusively from parts produced by Tesla, although there was still a few weeks to go from being able to walk independently. Elon Musk said the Optimus is designed to be a large-scale robot, costing less than $20,000 with availability sometime in three to five years. According to Musk, it will be tested for usefulness inside Tesla’s factories before going into prime time.
Musk was careful to stress the need for security when developing this robot, but he was also very optimistic about what economic robots could provide to society.
Much of the time spent on Optimus included an in-depth discussion of the mechanics of the individual aspects of the Tesla Bot, with particular attention to individual fingers and knees. “Biology-inspired design,” was a phrase that emerged as a way to describe how Tesla engineers put the pieces together.
Tesla engineers have detailed much of the cloud and in-vehicle processing that occurs for their self-driving operations. Many of these neural networks are designed to be able to make the most secure decisions under tight schedules and complex landscapes. Tesla is pumping 30 petabytes of footage through three supercomputers to build its training model.
Tesla also said that its fully autonomous driving (FSD) beta has gone from 2,000 customers in 2021 to 160,000 customers in 2022. Musk has again confirmed a global beta for fully autonomous driving by the end of this year, with major improvements on the road next month , awaiting testing in a range of weather conditions.
Tesla has spent a lot of time describing the Dojo platform built specifically for it as well. there Many More details than I can go into here, but Musk clearly sees the potential of Dojo using cloud computing to train a neural network in the future.
The end of the presentation was a question-and-answer session with the audience. Musk here reiterated the need to create a useful and scalable bot as quickly as possible. As for its development, he frankly considered the possibility of giving Optimus a compelling character or having an additional ecosystem where other manufacturers could participate.
Musk also touched on politics, support for a government agency that oversees AI developments, and universal basic income in a world where robots do much of our manual work.