Chamath Palihapitiya

And so you're going to have humans in the loop.

They might not be in the field as much.

They might be more in an AC building, being able to operate and build information and data to train the foundation model.

That's exactly right.

Well, I mean, the story of Gecko has been a story of building robots to help to reduce the barrier to entry of these jobs that sometimes take 10,000 hours to be great at and actually making it something you can attain within a few months of being able to use the technology in these fields.

And so whether it's manufacturing different parts and inspecting the quality of those parts or it's actually gathering information, data set,

understand what kind of decisions to make.

My goodness, you have a shortage of welders, you have a shortage of inspectors, you have a shortage of all these trades, and you have to be able to augment and take a Home Depot employee in a couple months, make them able to make $100,000, $150,000 running your robot, doing it safely.

And so that's an exciting, brave future.

I think the key unlock for us in the robotics community is just like, you gotta get your robotics into the field, you gotta fail fast and also rapidly prototype really quickly, and then manufacturing them is the big issue.

As we focus on these sorts of problems, because in this journey, over the next five years, to be that company that's the best in the world at taking robots and making ROI from them, that's what we're focused on in terms of setting ourselves up to be the world dominant there.

It was basically on the concept that we're talking about here, which is like, you know, I'm a I'm a I live in Pittsburgh.

At some point, Pittsburgh had like more millionaires in 1930 than New York.

It made 70% of the world steal.

And it's, you know, the economy changed a bunch.

And then that doesn't happen anymore in Pittsburgh.

And so but but like the insights and the companies, they're like they're still the backbone of our of our economy.

And and I was inspired by, you know, in that time from the Industrial Revolution, how steel was invented and then manufactured and then distributed to help create all the infrastructure that we rely on and that that fuels the energy or fuels the manufacturing sectors.

It was the infrastructure that you needed to be able to have all these big gains that came from the Industrial Revolution.

Same thing as what I was talking about in the editorial about is what we're doing with robotics, collecting information and data sets to help support and create the avenue, create the infrastructure for AI models to actually be able to return the kinds of returns that we're all betting on.