Konstantin Kisin

What people are now using these models to do in a very powerful way is if you're a developer,

Some of the top developers in the world, some of the top researchers in the world, they're not writing code.

They haven't touched a line of code since December.

They're not looking at a text editor where you'd see lines of code.

They're talking to the AI.

They tell the AI, hey, I want a feature that does X. Can you build me a new repository or a new code base where I make a certain kind of application, a new website?

Can you go and do research for me?

So in the process of building AI, you need to do this research of like, how do you build better algorithms?

AI is getting to the point where you can just describe at a high level what you want to happen, and it will go do that software engineering for you.

And so to your point, the people in Silicon Valley, they're getting tremendous productivity out of these.

These are people who are getting paid, you know, who are becoming 3x, 4x, 5x more productive as a result of using these models.

So far, because these models have been really good at text-in, text-out work, that is software engineering.

Software engineering is just a file of text, really, and you can just read every single text file, you can add more to it.

AI has been amazing at that.

It's been bad so far at, well, it's terrible at physical work, right?

So if you're doing any kind of blue collar work, robots are just not there yet.

But then even if you circumscribe it, even if you go in and look at, we're not just gonna look at software engineering, we're gonna look at all kinds of knowledge work, right?

All kinds of work that you can do on a computer.

Maybe 40% of the labor force is doing work that you can just do remote work.

If COVID happens again, you can put them on Zoom and they can do their work.