Brian Gerkey

mid or later career.

And I think that where you are in that journey, probably there are different aspects of it that you might be studying, right?

So I think that there are, I mean, you can already see this in factories today as automation gets introduced.

You have people who were previously doing the task themselves manually who are learning to be robot operators.

And the way that I think about that, like it's too easy to dismiss that as like, well, the robot took away my job, right?

I think it's...

much more productive to think about it as look at this power tool that we've got.

This is like, you know, you're probably already in this job using some tool, just a really great tool.

It happens to have a bunch of software in it, but it's still here to help you do your job.

And I think thinking about how do we make it possible for people to be able to figure out how to interact with these robots?

And then increasingly, this is not something that is production ready yet.

But those like we traditionally we've had a separation between developers and operators.

They're kind of two personas that we think about, right?

You've got like the people who build the system and we think about those people as needing to be, you know, engineers who have a background in, I don't know, say computer science and they can.

They can develop all this code and they can build the system.

And then there are the operators who have a different background.

They understand the work to be done.

They know the details of, I don't know if I'm going to weld two things together, which I know nothing about.

Like there's a ton of what's called process knowledge that goes into that.

Exactly.