Tesla is pressing forward with its plans to create humanoid robots and to move closer to actual self-driving cars. You can learn more about it at the company’s second AI Day, set for Sept. 30. Expect to see some of the most advanced examples of artificial intelligence technology around — even if they’ll need years more work to mature.
The Tesla Bot, a humanoid robot code-named Optimus that Chief Executive Elon Musk debuted at the first AI Day, is a likely star of the show. Last year, we only saw specifications, a mock-up dummy, and a herky-jerky dance from someone wearing an Optimus outfit in a peculiar attempt to illustrate what the Tesla Bot would look like. Musk delayed the second AI Day to wait for a physical Tesla Bot prototype.
Tesla is hiring Tesla Bot engineers to make not only walking humanoid robots but also wheeled models for factories, according to job ads spotted by Reuters, and Musk explicitly plans splashy events like AI Day to recruit employees.
Musk himself has fretted about how puny we’ll be compared to superintelligent AIs that pose an “existential threat” to humanity, so don’t feel silly if you’re worried about bending the knee before our future robot overlords. However, with Optimus, Tesla is trying to ease our minds, seeing the Tesla Bot as a helpful assistant. It showed an image of robot hands making a heart shape on its Instagram page, promising, “If you can run faster than 5mph, you’ll be fine.”
Sharing the spotlight with the Tesla Bot will likely be a much longer-running project, FSD Beta, Tesla’s technology to move its vehicles towards full self-driving abilities.
Here’s what you need to know about AI Day.
How do I watch Tesla’s AI Day?
The company has not yet shared details on tuning into the AI event, but it will likely be streamed on its YouTube account like the first Tesla AI Day. That’s what Musk has used for high-profile events for the carmaker and two of his other companies, rocket maker SpaceX and brain-computer interconnect designer Neuralink.
What’s Tesla up to with the Tesla Bot?
When Musk unveiled the Tesla Bot idea, he said it would be “friendly” and designed to handle “dangerous, repetitive, boring tasks” a human would want to avoid. “In the future, physical work will be a choice. If you want to do it, you can, but you won’t need to do it,” he said.
As designed, the 125-pound, battery-powered, human-sized robot will move with the aid of 40 mechanical actuators, including 12 in its hands for “human-level” functioning. It’ll lift 150 pounds and perceive the world using eight cameras.
It’s harder to make a humanoid robot than a squat, wheeled machine. Boston Dynamics’ Atlas robot is a good example of how many years the research can take. But if you can get one to work, it’s conveniently configured to navigate and manipulate objects in a world humans have created for themselves.
Expect an Optimus prototype at Tesla’s AI Day.
What is AI anyway?
Artificial intelligence these days generally refers to techniques to use gargantuan piles of real-world data to train computer systems to recognize patterns, understand what’s going on and make decisions. It’s a profound change from the narrow strictures of traditional if-this-then-that programming, instead focusing on the ability to wrestle with a wider variety of tasks that are vastly more complex and subtle.
Big Tech is investing billions of dollars into AI for projects like Google search results, Apple iPhone 14 photography, and Facebook’s system for picking ads based on the text of our posts. It’s progressing steadily, although it’s still largely used for specific tasks and lacks the general-purpose abilities of human brains.
Musk helped found a laboratory called OpenAI that’s advanced natural language processing with an AI model called GPT-3 and has shown creativity by turning text prompts into artwork with another AI model called DALL-E. OpenAI’s mission is “to ensure that artificial general intelligence benefits all of humanity.”
What’s Tesla doing with AI?
Tesla is a major player in AI. Its FSD Beta software is one example, but a Tesla Bot that wanders our homes, responds to our commands or moves boxes of bolts around a Tesla factory floor will also have to use AI.
One of the most difficult parts of AI is training the model, an effort that requires a data center’s worth of computing power. It can take days or weeks to train sophisticated AI models.
Tesla built technology called Dojo to speed up AI training geared for ingesting video data from Tesla cars. At the foundation are its custom-designed AI processors that can be linked by the thousands into a single “exapod.” Expect to hear more about Dojo at AI Day.
To make sense of input video, objects in it like bicycles, traffic lights’ left turn arrows and stop signs must be labeled. That’s partly done by humans and partly by other AI systems, and Tesla has invested heavily in autolabeling.
Once an AI model is trained, other Tesla-designed processors in the company’s cars run the model to identify their surroundings and make decisions about how to drive.
What’s the status of Tesla’s FSD technology?
FSD, short for Full Self Driving, is technology that by auto industry standards is actually categorized as driver assistance. Tesla requires a human to pay attention and be ready at all times to take over from the computer if necessary, enforcing its policy with requirements that the driver often exerts some turning pressure on the steering wheel.
FSD is an advance over Tesla driver assistance technology called Autopilot that works only on freeways. But Tesla has struggled for years to deliver FSD to customers who paid for it. In recent months, it opened an FSD Beta program to drivers who earn a high safety score, as judged by the Tesla car’s monitoring of behavior like hard braking or following other cars too closely.
In September, Musk released the software update to a much larger swath of customers — 160,000 total FSD Beta testers, he tweeted. FSD Beta version 10.69.3 due in October “brings step-change improvements,” Musk also said.
Is a robot AI harder or easier than a car AI?
The same technology Tesla develops for cars can be adapted for humanoid robots.
“Our cars are semi-sentient robots on wheels — neural nets recognizing the world, understanding how to navigate through the world,” Musk said at the first AI Day.
But the variety of situations a robot might encounter in a person’s home is vastly more varied than what a car encounters on a road, as are the tasks we might command it to perform. A robot that operates in more limited circumstances, like in a factory or warehouse, would be easier to train.