Samir Chaudry

Okay. It's pretty compelling, especially now they have like this feature that's like a look and tell me feature. Meaning like you can look at a building and go, hey Meta, look and tell me what this building is and tell me the history behind it, right? So you're using voice to prompt AI there. And I think like the...

Okay. It's pretty compelling, especially now they have like this feature that's like a look and tell me feature. Meaning like you can look at a building and go, hey Meta, look and tell me what this building is and tell me the history behind it, right? So you're using voice to prompt AI there. And I think like the...

The question in terms of when you talk about ad networks and when the internet first launched, that being a major factor, I think the question is the fragmentation of attention. So if we keep going down that path of going, there was a point when we were kids where there was a lot of monoculture. Whatever was on TV was on TV. That's what we all watched.

The question in terms of when you talk about ad networks and when the internet first launched, that being a major factor, I think the question is the fragmentation of attention. So if we keep going down that path of going, there was a point when we were kids where there was a lot of monoculture. Whatever was on TV was on TV. That's what we all watched.

The question in terms of when you talk about ad networks and when the internet first launched, that being a major factor, I think the question is the fragmentation of attention. So if we keep going down that path of going, there was a point when we were kids where there was a lot of monoculture. Whatever was on TV was on TV. That's what we all watched.

And if you think about today, if you're walking down the street and you look around, you're like, okay, all of these people on the street today potentially listened to a podcast this morning, but it's probably likely that none of them listened to the same one. And that's pretty wild. And maybe there's overlap, like maybe five of them listened to the same one or something like that.

And if you think about today, if you're walking down the street and you look around, you're like, okay, all of these people on the street today potentially listened to a podcast this morning, but it's probably likely that none of them listened to the same one. And that's pretty wild. And maybe there's overlap, like maybe five of them listened to the same one or something like that.

And if you think about today, if you're walking down the street and you look around, you're like, okay, all of these people on the street today potentially listened to a podcast this morning, but it's probably likely that none of them listened to the same one. And that's pretty wild. And maybe there's overlap, like maybe five of them listened to the same one or something like that.

But when you extrapolate that further and think about like, wearables as well as AI, the question becomes like, how hyper-personalized does everything get to you? Is it actually that everyone can listen to a completely personalized version of a podcast in the morning or completely personalized experience through their own glasses? And then the question becomes like, what

But when you extrapolate that further and think about like, wearables as well as AI, the question becomes like, how hyper-personalized does everything get to you? Is it actually that everyone can listen to a completely personalized version of a podcast in the morning or completely personalized experience through their own glasses? And then the question becomes like, what

But when you extrapolate that further and think about like, wearables as well as AI, the question becomes like, how hyper-personalized does everything get to you? Is it actually that everyone can listen to a completely personalized version of a podcast in the morning or completely personalized experience through their own glasses? And then the question becomes like, what

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.