Will Bryk

You act like, you know, like just an, uh, open source model that's big enough.

Uh, you know, and now the infrastructure for running them is very good.

Like it's pretty cheap.

Like you can just reuse open source models for most of knowledge work.

Not that the, uh,

crazy smart LLMs don't, they do have a super amount of value in terms of, like, inventing new science and math and in certain cases you won't, like, you know, find any bugs in your code or something like that.

But, like, increasingly, like, I would say, like, if you think of knowledge work, like, all the different tasks you might do as, like, concentric circles of difficulty, a huge amount of that service area is covered by, like, off-the-shelf models you get right now.

Yeah, right.

So, but, like,

On the other hand, like, search, like, when you are trying to, you know, enrich every cell in your Excel sheet with competitors or people you're trying to recruit, then, like, every extra nine of quality in search really matters.

Basically, I would argue that a lot of knowledge work is actually a search problem, not only an intelligence problem.

And so...

Yeah, I mean, what are some examples where search is not good?

I do think company and people search is the most, like, easy to see and just most valuable to people.

Like, every company in the world has to search over companies to sell to, or almost every company in the world has to search for companies to sell to and people to hire.

You could ask yourself if like finding companies to sell to or finding people to hire is a solved problem.

I think every company would say, no, it's not.

That's why people are constantly, you know, switching tools, like trying out new tools is because like we just don't have comprehensive information over all the people or companies we want.

So that's a really good example.

That's something X is leaning very deeply into, like go-to-market intelligence.