Logan Kilpatrick

Yeah.

And what I've loved also is that they've been able to bring a bunch of the things of what folks love about notebook alum to other products like the Gemini app.

Now, like you can use deep research and then you can create an audio overview, which is the podcast experience that folks loved about notebook alum.

based on a deep research report that's, you know, 40 or 50 pages long.

So there is this really cool, and Notebook Alarm is part of Google Labs and Google Labs' mission is to build all these like frontier experiences and like help make that technology more ubiquitous across the rest of Google.

So I think it's worked really, really well in the case of Notebook Alarm, which is cool.

Yeah, the driving use cases is very pertinent.

I don't commute to the office, but I have been traveling a bunch and like I don't want to use my phone while I'm in a car on the way to the airport or something like that.

And it's being able to just like turn whatever I was trying to grapple with through Noble Galam or the Gemini app into an audio overview is so helpful.

It is.

It is.

And I think this goes to like why having these.

natively multimodal models is so helpful because like you get the reality is, uh, the bet on multimodal from a, from a Gemini perspective is like life is multimodal.

Um, being able to understand and talk and, and all of these things, um, the world around you is just like such a critical part of the, the path to AGI.

So it's, um, yeah, I, I love seeing the, the bets actually pay off from a product experience standpoint when the, when the model ends up working really well for them.

Yeah, when coding, I think is actually a really good example of this.

I don't I'm actually not somebody who spends a bunch of time talking to AI.

I don't.

I'm more of a text person myself.

Say it again.