Logan Kilpatrick

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.

I don't, you know, as interesting as it is, like what the thing that is most useful to me that I get excited about is like building stuff for other people.

I don't get a lot of like gratification or value out of talking to AI.

And I think this is also just like some, this is, you know, I'm probably in some weird place

privileged position, but I'm like, I work with, and I spend my time around people who I think are just so incredible that it's like, yeah, the AI models are good, but like, I want the person who's like actually the best at this.

And like, I could go find that person and actually just directly ask them.

So it makes it harder to, um, to do that.

But I think about like me, you know,