Samir Chaudry
speaker
356 appearances
3 recordings
3 series
first heard Oct 2024
last heard 3 Jun
Samir Chaudry’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.
Appearances
Where do audiences move in the future and how personalized does content get to an audience?
Potentially. I think that in terms of being directionally correct, it does make sense when you experience it. It's hard to explain if you haven't experienced it. But I think the primary thing is like, Using Orion felt like, both Colin and I said this, it felt like we got our hands back and it also felt like we got our posture back.
I think there will be a moment in human history where we look back and go, that was weird that we were all hunched over these black rectangles all day. I think that will be something that we're like, huh, that's strange. And when I look at, like my dad, you know, is a lifelong entrepreneur and he started a company back in 1970 when he, 1976 when he landed here in the States.
And the photos of him working.
are him sitting at a desk with a telephone and a bunch of papers. And you think about like, what does someone working look like today? It's like a laptop in front of them. That was not the case for my dad or our parents' generation. And so it's not crazy to think about for our kids when they start to work.
Like when I'm a parent of a 20-year-old kid or 25-year-old kid and he starts going to work, like, work probably looks totally different. Like the way he engages with technology is going to look totally different. And so that's like, directionally, it feels like it makes sense. But I don't know, like adoption is the biggest piece. I think like people being very
human beings being very conscious of like their image and looking into each other's eyes. And like, that's where the question comes in to play is like, will we actually adopt this type of stuff? But it like being there in the moment, you're kind of like, yeah, this makes sense.
But experimenting with what? Like building apps for that environment or what?
Yeah, these are the Ray-Ban metas. And I wish you could hear the sound they just made when I put them on. But these are like the clear ones. It's pretty incredible to see like how much tech is in these kind of glasses now. And I don't know if you've, have you worn these?
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.
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
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?
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.
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.
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
Showing 241–260 of 356 · page 13 of 18
← Previous
Next →