Elon Musk

There is no supply chain for this.

From an electromechanical standpoint, the hand is more difficult than everything else combined.

The human hand turns out to be quite something.

But you also need the real-world intelligence.

So the intelligence that Tesla has developed for the car applies very well to the Rovalon, which is primarily vision.

The car takes in more vision, but it actually also is listening for sirens.

It's...

you know, it's taking in the initial measurements, it's GPS signals, a whole bunch of other data, combining that with video, it's primarily video, and then outputting the control commands.

So like your Tesla is taking in one and a half gigabytes a second of video and outputting two kilobytes a second of control outputs with the video at 36 hertz and the control frequency at 18.

Well, we've been working on humanoid robots now for a while.

So I guess it's been five or six years or something like that.

And a bunch of things that we've done for the car are applicable to the robot.

So we'll use the same Tesla AI chips in the robot as the car.

We'll use it.

the same basic principles.

It's very much the same AI.

You've got many more degrees of freedom for a robot than you do for a car.

But really, if you just think of it as like a bootstream, AI is really mostly compression and correlation of two bootstreams.

So for video, you've got to do a tremendous amount of compression.

And you've got to do the compression just right.