Rachel Warren

I do think that that's the point, right?

I mean, so much of what we have seen from that core business, right, the search business, it's consumer facing.

And I do think that is sort of the driving nature behind a lot of these rollouts we're seeing, right?

A lot of what we've talked about with AI and specifically with Alphabet's approach has been sort of

you know, the smart chat bot, right?

Gemini, you type a question in a box, get a response back.

So I want to talk about a few of the things that they introduced.

You know, I don't think this moves the needle right now, but I do think it speaks to their broader strategy.

And I think if you're an investor, you're interested in this business, it's important to understand where they're going.

So that Gemini Omni that you mentioned, it's this basically world model.

It doesn't just look at text.

It can look at

video.

It can listen to live audio.

It can understand complex code all at the exact same time.

And the idea is that it can generate accurate, realistic content.

It's even coming to YouTube Shorts.

So the goal is to help creators edit their video.

They paired this with their new Gemini 3.5 engine, which I think we'll talk about in a little bit.

It starts with a 3.5 flash, and basically it's supposed to process responses four times faster than prior Frontier models.