Will Bryk

And so it's a whole new ballgame.

So there's not much of an advantage there.

There are also other things like

Yeah, Google probably had hundreds of people working on re-ranking, because that was a complex thing before LLMs.

But now with LLMs, you could have a re-ranker that you just call an LLM and give one engineer work on it.

Now, obviously, we have more than one engineer working on re-rankers at this point, because you don't want to just call an LLM.

You want to train your own models and make them faster, higher quality.

But you don't need a team of hundreds.

You could do it with a couple people.

How have we, a team that has always been below 100 people, been able to build a search engine that's better than Google in all sorts of ways?

Well, it's because the technology unlocks new types of techniques.

And then also, because serving agents, you don't need all the click data and data that Google has been collecting.

So those are some ways why it's easier to build a search engine and why we've been able to build a fantastic search engine with a small team.

I think a small crack team.

But it's also harder.

Why is it harder?

Well, it's because like the requirements for a search engine now are getting more and more intense.

And so like,

you know, I wake up in the morning and we have like, you know, customers love us, but we still have customers being like, wait, why can't you be perfect at this search?

Or what about this search?