Konstantin Kisin

How do we make sure of that?

I think it's a tough question.

Well, I can explain it very concisely.

The models are getting better.

And then we can be a little less concise.

I think it's, you're correct to point out that there's this huge discrepancy between what people are seeing in Silicon Valley and what people are observing outside.

It's frankly because of how useful the models are becoming at certain kinds of things.

So by models, I mean, you've seen Chad GBT.

You might have heard of things like Gemini from Google.

You might have heard of Clot from Anthropic.

And you might be using these models to basically do the equivalent of Google search, using it to replace sometimes any Google search.

Instead, I'm going to type it into chat GPT, see what chat says.

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?