Samir Chaudry

Do you serve personalized ads to each of them? What is everyone's experience like in a world of incredibly fragmented culture?

Do you serve personalized ads to each of them? What is everyone's experience like in a world of incredibly fragmented culture?

Do you serve personalized ads to each of them? What is everyone's experience like in a world of incredibly fragmented culture?

Yeah, you're looking at your closet and it's like, you know what's missing? Yeah, totally. This Levi's jacket. Yeah, right? Like, you know what would go well with these pants that you're wearing right now when you look in the mirror? There's this really interesting software that I was sent yesterday called Notebook LM. Are you familiar with this?

Yeah, you're looking at your closet and it's like, you know what's missing? Yeah, totally. This Levi's jacket. Yeah, right? Like, you know what would go well with these pants that you're wearing right now when you look in the mirror? There's this really interesting software that I was sent yesterday called Notebook LM. Are you familiar with this?

Yeah, you're looking at your closet and it's like, you know what's missing? Yeah, totally. This Levi's jacket. Yeah, right? Like, you know what would go well with these pants that you're wearing right now when you look in the mirror? There's this really interesting software that I was sent yesterday called Notebook LM. Are you familiar with this?

For people who don't know, I mean, this is as far as I understand it and how I used it, but essentially Notebook LM is a Google software where you can load in sources. So the example would be load in like, I loaded in three articles, one about the new Snap AR glasses, one about the new meta ones, and then one like just kind of think piece on the world of AR.

For people who don't know, I mean, this is as far as I understand it and how I used it, but essentially Notebook LM is a Google software where you can load in sources. So the example would be load in like, I loaded in three articles, one about the new Snap AR glasses, one about the new meta ones, and then one like just kind of think piece on the world of AR.

For people who don't know, I mean, this is as far as I understand it and how I used it, but essentially Notebook LM is a Google software where you can load in sources. So the example would be load in like, I loaded in three articles, one about the new Snap AR glasses, one about the new meta ones, and then one like just kind of think piece on the world of AR.

And it gave me a nine-minute podcast that was two hosts talking, essentially developing a podcast, using the source material about all these, essentially giving me a podcast about the state of AR, the difference between snaps, glasses, metas, glasses, and all the above. and it's compelling.

And it gave me a nine-minute podcast that was two hosts talking, essentially developing a podcast, using the source material about all these, essentially giving me a podcast about the state of AR, the difference between snaps, glasses, metas, glasses, and all the above. and it's compelling.

And it gave me a nine-minute podcast that was two hosts talking, essentially developing a podcast, using the source material about all these, essentially giving me a podcast about the state of AR, the difference between snaps, glasses, metas, glasses, and all the above. and it's compelling.

It's not like it's, it's obviously you can tell it's AI, but it's, it's like, there's a moment where the host clears his throat. There's a moment where like the two hosts talk over each other. Uh, there's a moment where they like make little quips and jokes and segues. And so then I loaded in like our, um, we have a newsletter that we send three times a week called the published press.

It's not like it's, it's obviously you can tell it's AI, but it's, it's like, there's a moment where the host clears his throat. There's a moment where like the two hosts talk over each other. Uh, there's a moment where they like make little quips and jokes and segues. And so then I loaded in like our, um, we have a newsletter that we send three times a week called the published press.

It's not like it's, it's obviously you can tell it's AI, but it's, it's like, there's a moment where the host clears his throat. There's a moment where like the two hosts talk over each other. Uh, there's a moment where they like make little quips and jokes and segues. And so then I loaded in like our, um, we have a newsletter that we send three times a week called the published press.

And I loaded two issues of that in, and it actually edited down stories and, uh, made segues and made things that made sense and didn't make sense. And, um, it was a glimpse into a potential future when you think about, from a content perspective, you're like, I have a 20-minute commute and I want to know about what just happened in the world of YouTube.

And I loaded two issues of that in, and it actually edited down stories and, uh, made segues and made things that made sense and didn't make sense. And, um, it was a glimpse into a potential future when you think about, from a content perspective, you're like, I have a 20-minute commute and I want to know about what just happened in the world of YouTube.

And I loaded two issues of that in, and it actually edited down stories and, uh, made segues and made things that made sense and didn't make sense. And, um, it was a glimpse into a potential future when you think about, from a content perspective, you're like, I have a 20-minute commute and I want to know about what just happened in the world of YouTube.

I want to know about the NFL and fantasy updates. And I also want to hear a takeaway from the VP debate last night. And you load those in and it's like, here's your podcast that's 20 minutes long, that matches your commute, that's personalized for what you just asked

I want to know about the NFL and fantasy updates. And I also want to hear a takeaway from the VP debate last night. And you load those in and it's like, here's your podcast that's 20 minutes long, that matches your commute, that's personalized for what you just asked