Brett Adcock

You want to think about the software layer.

Like you want to think about the, so for us, like what's so powerful about a humanoid is you,

you don't want to go out and change hardware.

Whenever we have a new app on your phone, you just download it and it can do new things now.

It's got my bank account now, I can do bank account stuff.

Or you got a calculator, it can do calculator stuff.

You really want to treat the hardware like this, where you basically, similar to a phone, where you don't have to change the hardware for new capabilities.

You want it to learn how to do complex towel folding, or unloading the dishwasher, making coffee on a Keurig, walking the dog.

These are almost like the Matrix, where you get plugged into a system that reuploads neural net weights into the robot, where it can learn new things.

So that's what we do now.

Like if the robot, like if we can't do package logistics well, we get data for package logistics.

We train our Helix Neural Net for a week and then we load it to the robot and it can like, then the same robot that was like folding towels like the week before can now just sit there for 24 seven and do logistics work and package work.

Wow.

Nothing changes.

Where's this going to go first?

Consumers, businesses?

You'll ship into businesses first.

It's...

The engineering complexity that we have to ship is like proportional to the variability that we see on site.

So the variability at homes is like extremely high.