Reed Albergotti

And it's across surfaces.

It can be on your mobile device or it can be on your computer.

It's really nice to see

the early signal from users that the marina experiment gave us kind of roll forward into this into this big product within gemini so this is this is this is a genetic ai for people who maybe have never even heard that term or if they have heard it have no idea what it means yeah or or that's what the goal is i have no idea what it means or or i was going to say maybe roll their eyes at it yeah you don't need to

That's a good question.

I would say...

Maybe one side of a both-and version of success looks like that.

I think you're right.

If I see a common pattern across a lot of the products that we are working on, we're getting to this point where the affordances of the models and the agents

enable everything to be an everything machine to some extent.

And then the question is, okay, do we access that all through one surface?

And I think the way to think about it is,

You can certainly provide a door into the room through a surface like Gemini where, yes, you can go and make videos through Gemini or you can go and build websites or do all the other kind of agent-enhanced collaborative partner sort of experiences through Gemini.

But I think there's also value in having some task-specific content

doors into the room.

It's maybe a consumer prosumer thing.

So you can access a version of Flow that allows you to make movie assets via Gemini, but you can also do it through the Flow surface, maybe in a little bit more of a detailed or under the hood way.

And that's something that we're doing with Notebook LM, for example, right now.

I mean, it's exciting because it's demonstrated there's a

There's certain things you can say with, and people listen if you have a Nobel Prize, right?