Andrej Karpathy

So I would be a lot more interested in what's happening with call center employees today, for example, because I would expect a lot of the road stuff to be automatable today.

And I don't have a first level access to it, but maybe I would be looking for trends of what's happening with the call center employees.

Maybe some of the things I would also expect is maybe they are swapping in AI, but then I would still wait for a year or two because I would potentially expect them to pull back and actually rehire some of the people.

So I think there's an interesting point here because I do believe coding is like the perfect first thing for these LLMs and agents.

And that's because coding has always fundamentally worked around text.

It's computer terminals and text, and everything is based around text.

And LLMs, the way they're trained on the internet, love text.

And so they're perfect text processors, and there's all this data out there, and it's just a perfect fit.

And also we have a lot of infrastructure pre-built for handling code and text.

So, for example, we have Visual Studio Code or, you know, your favorite IDE showing you code.

And an agent can plug into that.

So for example, if an agent has a diff where it made some change, we suddenly have all this code already that shows all the differences to a code base using a diff.

So it's almost like we've pre-built a lot of the infrastructure for code.

Now contrast that with some of the things that don't enjoy that at all.

So as an example, like there's people trying to build automation, not for coding, but for example, for slides.

Like I saw a company doing slides.

That's much, much harder.

And the reason it's much, much harder is because slides are not text.

Slides are little graphics, and they're arranged spatially, and there's visual components to it.

And slides don't have this pre-built infrastructure.