$20B AI CEO: The ONLY trait for success in the AI era | Aravind Srinivas, Co-founder of Perplexity

Marina Mogilko 0:00 So if you were 18 today in the US and had to start all over again, would you still do a bachelor's, PhD?

Aravind Srinivas 0:06 Realistically, it's gotten [beep] .

Marina Mogilko 0:08 This is Aravind, CEO and founder of Perplexity, a $20 billion company challenging giants like OpenAI, Google, and Meta. They just released Comet, the first AI browser that thinks and act for you.

Aravind Srinivas 0:21 It also understands you, your needs, your budget, everything, it has memory.

Marina Mogilko 0:25 I tried it myself, and wow! It can book meetings, reply to emails, research products, even shop online, all without me.

Aravind Srinivas 0:32 Amazon has AI do the recommendation ranking. Google has AI to do the search ranking, so they can influence things for, and manipulate you to buying stuff. But for the first time, you have an AI in your hands. It actually protects you, it actually gives you power against the big tech.

Marina Mogilko 0:46 But while AI gives you unprecedented power, it's also reshaping the world of work faster than anyone expected. And it looks like those entry-level jobs are disappearing, right? So what do you think is gonna happen?

Aravind Srinivas 0:57 I certainly think so. Like, people need to push further.

Marina Mogilko 1:01 So is there still opportunity, or is it time to rethink everything? [upbeat music] Hello, everyone.

Marina Mogilko 1:08 Welcome to Silicon Valley Girl. It is the first time that I have a repeated guest on my podcast, and your progress has been tremendous. We did a podcast with Aravind, the founder of Perplexity, in November 2023. The company's valuation back then was $500 million, now it's around...

Aravind Srinivas 1:25 Actually, we, we, we were just closing our series B around then.

Marina Mogilko 1:28 Mm-hmm.

Aravind Srinivas 1:28 So it was more like $150, and we're just about to close a round at $520.

Marina Mogilko 1:33 Okay. And now it's-

Aravind Srinivas 1:34 So, uh, yeah

Marina Mogilko 1:35 ... $20 billion?

Aravind Srinivas 1:36 Yeah, roughly.

Marina Mogilko 1:37 Okay, can you describe this period of time in one word? [chuckles]

Aravind Srinivas 1:40 Exponential.

Marina Mogilko 1:41 Exponential?

Aravind Srinivas 1:42 Yeah.

Marina Mogilko 1:42 Uh, w- what do you think has played a tremendous role in this exponential growth?

Aravind Srinivas 1:47 I think, uh, our constant urge for, like, like, shipping fast, yet maintaining the quality. Our, uh, relentlessness. Like, I, I love the word relentless. In fact, I wanted to buy the domain relentless.com-

Marina Mogilko 2:02 Mm

Aravind Srinivas 2:02 ... except I figured it was owned by, uh, Jeff Bezos.

Marina Mogilko 2:05 Really?

Aravind Srinivas 2:05 So, uh, if you actually type relentless.com on your browser, it will redirect to amazon.com.

Marina Mogilko 2:12 [chuckles]

Aravind Srinivas 2:12 He's an investor in, in our company. That, that, that, that's, like, the spirit of the company. We, we don't ever give up. We are very curious.

Aravind Srinivas 2:20 Uh, we constantly keep asking questions on how to improve the product. The first thing I do when I wake up is, uh, read everything people are... all the users are saying on different social platforms. I make sure most of the bugs are immediately attended to. And you may think, like: Oh, what really comes out of this process of waking up every day and just bug fixing and triaging and, like, trying to, like, you know, identify places for improvement? But we really believe in the mantra of, like, 1.01 to the power 365 is 37.78.

Marina Mogilko 2:51 Can you explain? [chuckles]

Aravind Srinivas 2:52 Okay, so-

Marina Mogilko 2:53 Mm-hmm

Aravind Srinivas 2:53 ... if you do a 1% improvement every day, uh, how much do you improve at the end of the year? You improve, uh, 3700%.

Marina Mogilko 3:00 Does it-

Aravind Srinivas 3:01 You don't improve, like-

Marina Mogilko 3:02 -sense, yeah

Aravind Srinivas 3:03 ... 1% multiplied by 365.

Marina Mogilko 3:04 Yeah.

Aravind Srinivas 3:05 That's the concept of the exponential.

Marina Mogilko 3:07 Yeah.

Aravind Srinivas 3:08 Um, it compounds. Uh, and, uh, so it, it may look like small steps every day, but as the changes propagate to a larger scale of users, they bring in more users, uh, through word of mouth. Uh, and then those users are, like, experiencing all the improvements you're making. Uh, people feel great using a product that, you know, you used last week and then, uh, use it, like, a two, couple of weeks later, and it feels much more different, much faster, much cleaner, much more accurate. So then people start trusting... We, we earn the user's trust through our accuracy, our speed of improvement.

Marina Mogilko 3:43 And your marketing,

Marina Mogilko 3:44 Formula 1, Tailwang. Have you seen the spikes after, like, Formula 1 and when the episode went live?

Aravind Srinivas 3:50 It's hard to attribute to these kind of brand partnerships.

Marina Mogilko 3:53 Mm.

Aravind Srinivas 3:53 See, it's very easy to attribute... You, you run some ads on Instagram or YouTube, uh, and, like, there's a clear call to action button in terms of, you know, going to the App Store or Play Store and getting it installed, and then, uh, looking at, like, how many queries that translated to, or whether that user ended up subscribing to the app. It's very easy to track this and optimize the funnels. It's much harder to optimize, okay, like, if Lewis Hamilton has Perplexity on his helmet, how many people are actually going and installing the app after a Formula 1 race?

Marina Mogilko 4:22 Yeah.

Aravind Srinivas 4:23 Uh, it's pretty difficult to track that.

Marina Mogilko 4:24 It is.

Aravind Srinivas 4:25 Best way to track that is, like, brand awareness. Like, oh, like, are people in the UK or people who typically are in the Formula 1 crowd, are they more aware of Perplexity now? Uh, and I think that should be the case. Uh, we have run some basic studies, uh, but the, the core idea there is honestly to, um, associate our s- our brand with some of the greatest people of all time.

Marina Mogilko 4:47 Wow.

Aravind Srinivas 4:47 You know, like Steve Jobs ran this famous, uh, Think Different campaign, right? He got the inspiration from, uh, Nike, because Nike celebrated great athletes. So that's why in the ad you see Einstein, you see Gandhi, you see all these, like, like, you know, uh, the Beatles. Like, you see all the people who really inspired Steve. Um, and so that's one thing we, we've been pretty intentional about, like, who we wanna associate with in terms of the brand. Uh, like, at least in sports, uh, Lewis Hamilton is one of the greatest of all time. He's considered the greatest of all time-

Marina Mogilko 5:15 He is, yeah

Aravind Srinivas 5:16 ... uh, in Formula 1. And so that's why we, we did that brand partnership, and we're also gonna be doing more, uh, uh, like, like, particularly, you know, in F1... Um, it's a pretty cerebral sport. Like, e- everyone's attracted by all the hospitality and, like, the race cars and, like, you know, it's a very high, high-adrenaline thing, but, but, but fundamentally, the sport is largely engineering-oriented.

Marina Mogilko 5:37 Mm.

Aravind Srinivas 5:37 Like, who has the best engine? Who has... Who, who's licensing, uh, whose engines? Like, I think it's all about constructors, like, competing for, like, who has the best cars. And, and, and, and skill still matters, conditions matters, tires matters. Like, like, everything matters, so-... uh, we, we do see, like, a lot of people asking these kind of questions on, on the app.

Marina Mogilko 5:56 Two years ago, when I

Marina Mogilko 5:58 first interviewed Aravind, Perplexity was valued at around one hundred and fifty million dollars. Today, it's a twenty billion dollar company that competes with Google for our search queries. So how do you scale like Aravind? You start by making sure that every customer touchpoint work as hard as you do, and that starts with email. Because when you're building from the ground up, you're not just the founder, you're also the marketer, support team, and ops lead all in one. In our company, twenty-one percent of sales come directly from email marketing, so keeping that channel strong is non-negotiable. That's why I can recommend a platform called Omnisend. It's an all-in-one platform for email, SMS, pop-ups, push notifications, and segmentation. With one hundred and fifty thousand businesses using it, Omnisend isn't just a tool, it's how we build real relationships and drive revenue. Here's what I love most: pricing. You can start for free and only scale up when your business does. You're never paying for features you don't need yet, which is huge for small teams. I love their support. Even on the free plan, you get twenty-four/seven customer service with real humans. I've used it myself. Average response time is under three minutes. And third, the platform is clean and intuitive, something that we need, as, you know, people who are doing it all. If you're sending a launch email, just choose your campaign type. Write a short, punchy subject, like, "My worst business mistake that cost me millions." Fill in your info, pick a template, customize, hit Send, and you're done. So whether you're launching AI tools like Aravind or doing something completely different, email is still the engine of growth, and Omnisend makes it effortless. Check out the link in the description and use code SVGIRL30 to get thirty percent off your first three months. All right, back to the interview.

Marina Mogilko 7:37 There was this huge spike in queries in June compared to May.

Aravind Srinivas 7:41 Mm-hmm.

Marina Mogilko 7:41 Can you attribute that to something? What happened?

Aravind Srinivas 7:44 I don't know if it happened in June or July, but definitely we, we grew a lot in the last couple of months. Actually, the, the main event that happened in July that I would say is fundamentally, you know, led to growth is, like, our, our release of our agentic browser, Comet. For the first time, you could have a browser that can actually think with you and, and, and take actions on your behalf, and, like, actually go and do stuff.

Marina Mogilko 8:04 I have Comet right here.

Aravind Srinivas 8:06 Yeah.

Marina Mogilko 8:06 Can you show one killer feature that you think everyone should start using on Comet?

Aravind Srinivas 8:11 I love this thing because it's a, it's a very simple thing, but it kind of always works. Um, you know, if you wanna go to... There's some video I remember I watched before, but I, I don't know exactly what it is-

Marina Mogilko 8:23 Mm.

Aravind Srinivas 8:24 -and I can search for it with just simple, natural language and ask it to just open and play from that exact moment. So, for example, there's a video where, uh, Jensen Huang says, uh, "I would rather, uh, torture people to greatness than fire them." Um, can you find it and play it for, play it from, play it for me, uh, from that exact moment? So the point here is not that it can do a video search or anything like that. It's how it does multi-step reasoning, finds the video, pulls the transcript, and actually opens the tab and starts playing.

Marina Mogilko 9:02 Wow!

Aravind Srinivas 9:03 That, that, that was the phrase that I was, I was hoping to-

Marina Mogilko 9:06 And then you can chat with this video.

Aravind Srinivas 9:07 Exactly.

Marina Mogilko 9:07 Something that I did yesterday-

Aravind Srinivas 9:09 Yeah

Marina Mogilko 9:09 ... when I was watching one of your interviews.

Aravind Srinivas 9:10 For example, there's-- I... There are a lot of other videos here. I could go here. This is, like, one hour long. I could literally say, like, "What are some, uh, um, non-trivial things, uh, Jensen said in this interview?" Something like that, right? Like, I, I don't wanna watch everything happening. Maybe he's saying a lot of things, and he's repetitively saying that AI is gonna explode, blah, blah, blah, but I only wanna know new things.

Marina Mogilko 9:34 Yeah.

Aravind Srinivas 9:35 And so it's reading all the transcripts. It's particularly talking about, um, the, the, you know, GPUs as time machines. Like, he-- I've never heard him say that, GPUs as time machines. Um, and of course, like, scale and flexibility, um, science to application, omniverse was costly. So the... I can actually say, "Can you, can you just share this as an email?" I don't know if you're connected to your team.

Marina Mogilko 9:56 Ah, yeah, yeah.

Aravind Srinivas 9:57 Uh, can you send this as an email to, uh, Aravind Srinivas, uh, the, the founder and CEO of Perplexity? You can actually even edit it. You can, you can, you're gonna add, say, uh, S- send from Comet or something like that. And, uh, you can even refine the email if you want, and you can just send it-

Marina Mogilko 10:17 And send-

Aravind Srinivas 10:17 And it's done

Marina Mogilko 10:18 -right from there.

Aravind Srinivas 10:19 You don't have to open...

Marina Mogilko 10:19 Yeah.

Aravind Srinivas 10:19 You don't have to copy-paste this. You don't have to open this tab. You're gonna have to, like, compose email, all this. This is just one example. You could also schedule meetings from here. You could, say, order the leather jacket Jensen's wearing from e- from, from your Amazon. It's gonna find it. Of course, it's gonna be pretty expensive, so it's not gonna place the order directly. So it, it, it's gonna do a lot of these, like, multi-step things.

Marina Mogilko 10:41 What's gonna happen

Marina Mogilko 10:42 to businesses who survive on paid ads? Is it gonna skip paid ads, or how is it gonna research information about what product to buy?

Aravind Srinivas 10:49 So you can, uh, instruct your Comet assistant to say, like: I want you to just skip all the ads. When you're tasking Comet to go watch YouTube for you, uh, you can task Comet to say, "Ignore all the ads, just get me the core sense of what the, the content is about." You could ask Comet to say, like, uh: Go look at, like, favorite, uh, Instagram influencers of airing, and go read the reviews of all of them, and then, um, tell me what, what's best for me based on what you already know about me, and, and, and go buy

Aravind Srinivas 11:20 it for me.

Marina Mogilko 11:21 So how can businesses optimize for that experience?

Aravind Srinivas 11:23 I would say that what businesses should really do is, like, like, really focus on just building a great product and get a lot of people to talk about it-

Marina Mogilko 11:30 Like reviews, right?

Aravind Srinivas 11:31 Yeah.

Marina Mogilko 11:31 Because Perplexity reads reviews-

Aravind Srinivas 11:33 Yeah, exactly

Marina Mogilko 11:33 ... watches videos.

Aravind Srinivas 11:34 Yeah.

Marina Mogilko 11:34 So get as much content-

Aravind Srinivas 11:35 Of course

Marina Mogilko 11:35 ... for your product as possible, right?

Aravind Srinivas 11:36 The, the solution shouldn't be to, like, paying people to, like, write great things about you-

Marina Mogilko 11:40 Yeah

Aravind Srinivas 11:40 ... but, but honestly, uh, like, building a great product and getting the word out, and then people, uh, talk about it, rave about it, and then Comet reads all that and, uh, is able to, like-... suggest that to you. That, that, that would be the way to go, in my opinion.

Marina Mogilko 11:57 How fast do you think we're gonna switch to asking our AI assistants to buy things for us?

Aravind Srinivas 12:03 I think you can do that already.

Marina Mogilko 12:04 But I mean, like, there's still friction in society, and I remember you were talking about, like, how we're overpaying, I don't know, real estate people, financial advisors. But still, when I think about a person who's in their sixties, who's done it for a while, they're not gonna just switch to AI to do things-

Aravind Srinivas 12:17 Yeah

Marina Mogilko 12:17 ... for them.

Aravind Srinivas 12:18 I'll, I'll tell you an anecdote which kind of convinced me why it's worth building these things. I was once having a haircut, somewhere in Valley, when I used to live there, and, uh, another person was also having a haircut in the same place. And, uh, he was somewhat older, and he was ranting about how he spent his entire day until that haircut, probably three, four hours, just looking for a new washing machine. Because it's a pretty expensive purchase, so you're gonna, like-

Marina Mogilko 12:46 You're gonna do your research

Aravind Srinivas 12:46 ... spend a lot of time deciding what to buy, and you've wasted your entire day just reading reviews and watching videos, and, like, scrolling through reviews, and, and you end up getting even more confused than you were at the beginning, right?

Marina Mogilko 12:58 Sure.

Aravind Srinivas 12:58 And, and this is the kind of thing we want Comet to help you with.

Marina Mogilko 13:01 Mm-hmm.

Aravind Srinivas 13:01 Like, make really good decisions really quickly, uh, and delegate all the mundane, uh, cognitive labor to something like Comet. Like, why do you wanna go read all the reviews? Like, it's boring. Like, anyway-

Marina Mogilko 13:13 Mm

Aravind Srinivas 13:13 ... Like, pe- people are paid to write good things, so how do you, like, get the signal from the noise? It's like, you have to consume the reviews across different platforms, not just one platform. I could pay someone to write good reviews on Google Maps, but, um, I couldn't necessarily pay someone to do it on every single platform. I wouldn't be that thoughtful. So definitely, if your product is pretty bad or, or overhyped, then someone's gonna say something negative on, on, on YouTube or Reddit or like-

Marina Mogilko 13:39 And Perplexity's gonna see it.

Aravind Srinivas 13:39 Yeah, and then Perplexity will give you a pretty balanced perspective. "Okay, here are the five different things." Like, imagine reading, like, thirty, forty tabs in, like, the matter of a few seconds or minutes, and then telling you what to do, and it also understands you, your needs, your budget, everything, right?

Marina Mogilko 13:54 Mm.

Aravind Srinivas 13:54 It has memory. The Comet can answer questions for yourself, um, and like, you know, it can give you tips on how to do better. So, uh, I think that's the kind of way in which we feel, um... AI is less about, like, uh, whether someone's old or young, uh, whether someone's like, uh, uh, you know, more used to traditional tools or like, like, easy, like, like, quick to change and adopt new things. It's truly about the utility. But I'll give you another

Aravind Srinivas 14:18 example. I wa- was doing, like, a stage for, uh, like, talk for a pa- partnership with Motorola. I asked Comet, like, to go, um, read all the like, like, you know, talks given by Jensen and Steve Jobs and everything, and also read the current draft, which was written by my comms person, "And then I want you to edit it a little bit to feel a little more grandiose, but I still want to preserve how I speak."

Marina Mogilko 14:43 Yeah.

Aravind Srinivas 14:43 "So you watch my interviews, too, and you, you watch these guys' interviews, and you try to blend a little where, you know, I, I wanna say some things that slightly feel more inspiring, but I don't wanna, uh, appear inauthentic."

Marina Mogilko 14:57 Mm.

Aravind Srinivas 14:57 And so, um, uh... And it did a great job, actually. It did such a good job that I was like: Damn, I would have paid someone, like, $1,000 for that.

Marina Mogilko 15:05 Let's transition

Marina Mogilko 15:06 to 2030. What does shopping look like? Everybody has an AI agent-

Aravind Srinivas 15:09 Yeah

Marina Mogilko 15:09 ... that they talk to.

Aravind Srinivas 15:10 Yes.

Marina Mogilko 15:10 So Amazon app is dead, Walmart app is dead?

Aravind Srinivas 15:13 I wouldn't say it's dead. Uh, fu- fundamentally, the, the moats for companies like Amazon and Walmart is, is physical real estate, the warehouses-

Marina Mogilko 15:24 Yeah

Aravind Srinivas 15:24 ... the stores, like Walmart's stores.

Marina Mogilko 15:26 Yeah.

Aravind Srinivas 15:26 Uh, and, and like the packaging and, and the supply chain, like, like-

Marina Mogilko 15:30 But the app itself-

Aravind Srinivas 15:31 Yeah

Marina Mogilko 15:31 ... the shopping experience is gonna be-

Aravind Srinivas 15:33 The core shopping experience-

Marina Mogilko 15:34 Yeah

Aravind Srinivas 15:34 ... might, might, might not matter. This is essentially what we've been talking about ever since the beginning. It, it doesn't matter if it's Amazon or Google or, or, or Walmart. Uh, I think it's fundamentally, like, what's good for the user, right?

Marina Mogilko 15:45 Mm.

Aravind Srinivas 15:45 Like, actually, uh, the founder of Amazon himself says this, like, "You always want a long-term alignment between the customer and the shareholder." And as you said, as a customer, you just said that you don't care about ads, right? Like, you actually don't want-

Marina Mogilko 15:58 Yeah, yeah

Aravind Srinivas 15:59 ... ads.

Marina Mogilko 15:59 I want to skip them.

Aravind Srinivas 15:59 You want, you want what is good for you, so just show me that, and I'll pay you more money.

Marina Mogilko 16:04 Mm-hmm.

Aravind Srinivas 16:04 Uh, and, and that's, that's the kind of relationship you're gonna have with your Comet assistant. Maybe the advertisers are still gonna exist. It's not like a complete end of ads. Advertisers might be trying to talk to the agent, not to you.

Marina Mogilko 16:17 Yeah.

Aravind Srinivas 16:17 But the agent will protect-

Marina Mogilko 16:18 But then I can code it to ignore the ads.

Aravind Srinivas 16:20 Exactly. They... And, and, and that's a handshake, uh, agreement you have with your agent that the advertiser cannot influence or cannot, like, manipulate. And, uh, that's what protects you. Uh, but I do think, like, you might be open to some ads. Like, for example, um, let's say you have an assistant that works in your team, right? Uh, you, you're running a podcast comp like... And, and so maybe there is a, a new microphone that's really good, but not many people know about it. They go and tells the person working on in your team, "Hey, like, can you please tell Silicon Valley Girl to go use the, this, our microphone? Actually, it's pretty good." That's kind of like an ad to you, but it's being, uh, told to you, to your team, uh, and, and, and you trust that person on your team, so you know that that person's not gonna unnecessarily-

Marina Mogilko 17:03 They're gonna evaluate-

Aravind Srinivas 17:03 Exactly

Marina Mogilko 17:03 ... not just take it as is.

Aravind Srinivas 17:04 Yeah, yeah, exactly.

Marina Mogilko 17:05 Is that how you're gonna monetize this experience?

Aravind Srinivas 17:07 Uh, we haven't thought deeply about it. Uh, I'm just imagining a future where, uh, ads are done at the level of agents, uh, and also between, between apps. So, for example, um, you might be tasking Comet to do something, uh, like book me a ride, um, and then the three different apps, like Uber, Lyft, and something else, might be like: "Hey, I, I think I can deliver the best ride for, uh, her."

Marina Mogilko 17:33 Mm.

Aravind Srinivas 17:33 Uh, and then the agent knows your preference, that you prefer Uber, let's say. Uh, and then, uh, it could be like, "You know what? Like, I really want to win her business, so I'm actually gonna offer this ride for free. Uh, just tell her that the experience will be better than Uber." The competitor could say that. The agent could charge some, uh, revenue for, you know, the apps trying to get your attention and share it back with you.

Marina Mogilko 17:56 Yeah.

Aravind Srinivas 17:57 Which Google never does. So Google-... takes your queries, does a bidding process among different companies trying to, like, uh, bid for that query, and takes all the money, doesn't share it with anyone. That's why their profit margins are high on search. But that's bad for the user because you, at the end, are getting influenced. On the other hand, I'm saying there are two levels of protection. One is I don't let you directly see any ad, and even if your agent sees the ad, uh, the company that runs the agent gets some of it, but the user also gets some of it.

Marina Mogilko 18:29 Yeah.

Aravind Srinivas 18:29 And only, uh, that's the, that's the best way to continue to win the user's trust by saying, "Okay, I'm actually open to being advertised to through my agent, and in return for that, I actually want some money back."

Marina Mogilko 18:43 Mm.

Aravind Srinivas 18:44 "You don't get to take all of it."

Marina Mogilko 18:46 I love that model. Mm-hmm.

Aravind Srinivas 18:47 Uh, that way, our margins are lower, but our trust is higher, so the lifetime value, the LTV, is higher because you're trusted more. And as long as the agent is not getting manipulated, and therefore you're not getting manipulated, this model could work. So all roads lead to a future where the ad margins are gonna go lower, that's for sure, because the

Aravind Srinivas 19:09 user has an AI in their hands for the first time. Until now, AI existed in the hands of the advertising companies. Like, like Amazon has AI do the recommendation ranking. Google has AI to do the search ranking. So they can influence things for, and manipulate you to buying stuff because that's what the advertisers are... Those are the tools being provided to the advertisers to, like, you know, optimize their campaigns. But for the first time, you have an AI in your hands, a COMET assistant-

Marina Mogilko 19:37 That works for me.

Aravind Srinivas 19:38 -that works for you. It doesn't work for the advertiser. It actually protects you. It actually gives you power against them. You have intelligence on your demand to summon and do your bidding based on the prompt, and your memory, and your preferences, and so that's a contract between you and the agent, and that's giving you power against the big tech. Uh, and, and therefore, uh, some of that money can flow back to you for the first time.

Marina Mogilko 19:59 Mm.

Aravind Srinivas 19:59 So that, that-

Marina Mogilko 20:00 I love that.

Aravind Srinivas 20:00 Yeah.

Marina Mogilko 20:00 I love the way you think about that.

Aravind Srinivas 20:02 Yeah.

Marina Mogilko 20:02 I hope everybody who's creating AI agents thinks [chuckles] the way you do.

Aravind Srinivas 20:06 Yeah.

Aravind Srinivas 20:07 Yeah.

Marina Mogilko 20:07 What about other jobs? So I asked Perplexity, I asked it to analyse my portfolio.

Aravind Srinivas 20:11 Okay.

Marina Mogilko 20:11 And I asked it whether I should fire my financial advisor, and it was like: "Yes! You should do this immediately." [chuckles] Like, that, that's the first time I saw something that definitive from AI because it said, you know, "This is the strategy he's utilising. He's buying very expensive mutual funds." Like, what's gonna happen to these professions, financial advisors, real estate brokers?

Aravind Srinivas 20:29 Yeah.

Marina Mogilko 20:29 Because Perplexity does it now-

Aravind Srinivas 20:31 Yeah

Marina Mogilko 20:31 ... and it created the whole strategy for me-

Aravind Srinivas 20:32 Yeah

Marina Mogilko 20:32 ... to rebalance and everything.

Aravind Srinivas 20:34 Yeah. I've thought about this, actually. The way I think about it is, like, real estate agents, getting the listings on, like, Redfin or Zillow, with, like, a Comet, like, browser or say you just have a recurring task that's running. It's not, it's not yet there, so people who watch this, I'm gonna try it. It doesn't work yet, but um, it's gonna work pretty soon, which is you could just have a task that says

Aravind Srinivas 20:54 ev-- you know, every morning, just look at all the new listings on Redfin. Uh, you know, these are the preferences I have. I know Redfin kind of already has some of these features, but it's not-- it's very hard-coded, and there's a lot of selector drops, and filters don't really work properly. But you could have something like, "Every time there's a house below a certain budget, uh, and, and that's within this neighbourhood, make sure to, like, send me a push notification, uh, and, and submit an application on my behalf, and schedule a meeting or a visit. You have access to my calendar, everything."

Marina Mogilko 21:22 Yeah.

Aravind Srinivas 21:22 You can, you can... So-

Marina Mogilko 21:24 Just take-

Aravind Srinivas 21:24 So if your agent only shows you listings on Redfin and Zillow, I, I think they're useless. But if your agent is doing off-market deals for you, they're still pretty useful because tho- those things do not exist on the web.

Marina Mogilko 21:36 Okay.

Aravind Srinivas 21:37 I feel like having the power of, like, intelligence and compute at your hands, it, it always comes back to that, means you can push, uh, the existing industry to, like, like, work harder for you. Uh, same thing with private wealth management or financial advisors. Like, what are... If the job of the financial advisor is tell you, like, what stocks to buy, then I don't think it's useful. They're not gonna be smarter than Perplexity, which you can go and summon and, and ask it to go read all the, uh, analyst reports in every stock and, like, all the morning day news, and, like, come back to you and tell you, like, the impact in your portfolio. Uh, what would Warren Buffett do with, if, if he had exact- exactly your portfolio? Like, like, it can answer questions like that, that no financial advisor can.

Marina Mogilko 22:18 Yeah.

Aravind Srinivas 22:18 But if your financial advisor does more stuff for you, like getting you some access to, uh, certain funds, like private equity or hedge funds, or, or access to, like, funds or Citadel or something like that, that you cannot... Or like some start-ups, venture capital, which you cannot get through, uh, just the public markets, then maybe they're useful.

Marina Mogilko 22:38 Mm-hmm.

Aravind Srinivas 22:38 Right? It's all about, like, you have this new power in your hands, so go and ask the people who are actually taking your money to do more work for you, or the contract between you and them ends.

Marina Mogilko 22:49 And it looks

Marina Mogilko 22:50 like those entry-level jobs are disappearing, right? Because they are... An entry-level financial advisor, you're gonna only do, like, managing stocks. What do you think is gonna happen?

Aravind Srinivas 22:57 Yeah, I, I, I certainly think so. Like, people need to push further. Like, if you're just literally managing portfolio, you're not doing much. Like, I, I have some private wealth managers, too, and, uh, I think the way I use them is, like, like helping me move money around, those kind of things, 'cause I, I don't have time to manage all this myself. There, they help me through, uh, their time, and, and they also give me some, um, advice on, on, like, you know, what to do with stuff, how to save taxes a little bit-

Marina Mogilko 23:24 Yeah

Aravind Srinivas 23:25 ... uh, those kind of things. So your value add should expand further than just managing a portfolio.

Marina Mogilko 23:31 If we apply this to any market,

Marina Mogilko 23:33 how can you do this as a recent graduate?

Aravind Srinivas 23:35 Mm-hmm.

Marina Mogilko 23:35 And do you believe people still need to do their PhDs like you did, or-

Aravind Srinivas 23:40 Yeah

Marina Mogilko 23:40 ... that era is over? [chuckles]

Aravind Srinivas 23:41 The fundamental thing you learn in a PhD is, uh, learning to learn. Like, I, I did a lot of research in my PhD, which doesn't matter today, but I got the ability to, like, go learn a new topic, dig deep, understand everything, gather my information, consult, like, whoever is the best, uh, expert, which by the way, is not needed anymore because you have tools like Perplexity. But let's say, you know, you, you, you, you have the ability to ask the right questions.... and then you acquire a certain level of subject expertise to go make decisions and like, you know, branch out. That is what you acquire, that skill.

Marina Mogilko 24:15 Is it worth four years?

Aravind Srinivas 24:16 That's the thing.

Marina Mogilko 24:17 Mm-hmm.

Aravind Srinivas 24:18 I would say, like, I decided to do a PhD for many reasons. Um, and one of them obviously was my own interest in the topic, but the other was my-- that was my only way to get to America. A lot of Indians come here for masters, um, but you gotta realize that in, in order to come here for masters, you need to be able to fund your own tuition fee. Uh, and I, I didn't have that ability, so PhD, the university pays for you. Masters, you pay the university. So, uh, that was one of my, uh, one, one of my reasons, not the only reason. So obviously, just because someone gives you a free entry ticket to the United States, doesn't mean you should, you should do a PhD because it's a pretty gruelling journey. Uh, so I had a deep passion for the topic. I loved AI, I loved the ability... I, I, I like digging deep into things. I'm, I'm fundamentally, like, curious about, you know, learning deep- deeply about any topic. So those are attributes that you think you align with. I think that journey is very, very, very useful in your life. I don't believe that you need a PhD to be contributing positively to AI as, as a topic, either as a researcher or an engineer or entrepreneur. But I think if you zoom out and think beyond materialistic goals, like, just foundationally as a person, you become a lot more grounded in, like, the, the willingness to seek truth, the relentless questioning, the Socratic method of learning, uh, and, uh, learning to learn.

Marina Mogilko 25:40 Mm-hmm.

Aravind Srinivas 25:40 Uh, and, and, and I feel like these three qualities are, like, like reflective of this proverb or phrase, right? Like, "Give a man a fish, you feed him for a day. Teach a man to fish, you feed him for a lifetime." Like, that's how I feel about PhD.

Marina Mogilko 25:54 Mm-hmm.

Aravind Srinivas 25:54 Uh, and, and, uh, so that's why I, I would still recommend people to do it if you truly want to be someone, uh, that enjoys, like, learning about new things. Like, maybe I, I can stop doing this thing, and I can still find a new field or a new topic to go, and I, I, I can still bet on myself to, like, learn that and be successful at it.

Marina Mogilko 26:13 So if you were eighteen today-

Aravind Srinivas 26:15 Yeah

Marina Mogilko 26:16 ... in the US and had to start all over-

Aravind Srinivas 26:18 Mm-hmm

Marina Mogilko 26:18 ... again, would you still do a bachelor's, PhD?

Aravind Srinivas 26:21 I actually came here when I was twenty-two. I finished my undergrad and came here.

Marina Mogilko 26:23 But if you

Marina Mogilko 26:24 were in the US and you had to start your career from scratch-

Aravind Srinivas 26:26 Mm-hmm

Marina Mogilko 26:26 ... what would you do?

Aravind Srinivas 26:27 Look, I would definitely pursue my interests, but eighteen is too early to know what you're interested in. A lot of people, like, think they know what they're interested in, but I feel, my, my personal opinion is that, uh, eighteen is still pretty early, so I would just pick something and try to do it well. I think people underestimate the importance of, like, having that inner confidence in you to, uh, bet on yourself, that no matter what you do, you can do it well. So unless you've done some things like that in your life already, like, try to actually go and do something. Like, commit yourself to one, one thing, and do it for a sustained period of time, because it's very hard to be good at something if you just do it for, like, a couple of months.

Marina Mogilko 27:07 Mm.

Aravind Srinivas 27:08 You need a year or two to actually get really good, like top-notch at something. Uh, it could be programming, it could be math, it could be AI, it could be, like, writing apps. Doesn't matter. It takes time to actually be really, really good. So I would suggest them to, like, like, go deep into something. It could be your undergrad education, it could be, like, finding a, a software job at one of the existing companies. You could start off as an intern if they don't hire you full-time, uh, and then convert and, like, put in the hours. Like, I, I regret, like, watching YouTube video. I, I know you're a YouTuber, so it's kind of weird. [chuckles]

Marina Mogilko 27:41 [chuckles]

Aravind Srinivas 27:42 People are saying... And then we're, we're doing a whole YouTube thing. So yeah, you should watch YouTube and, and, and get knowledge out of it. Uh, but I remember telling, uh, Sundar when I talked to him that, "Hey, like, YouTube's a great app, but I wish you'd focus more on knowledge and learning," and he agreed with me. Because it's not just that, right? Um, so I, I regret how, the amount of time I wasted on YouTube just watching like, useless stuff. When you're very young, just ut- utilize the time, surround yourself with like, like peers who would push you to be better. Learn a lot, like, be a learning machine. Um, or like, like, like, work really, really hard.

Marina Mogilko 28:20 Mm.

Aravind Srinivas 28:20 Uh, and, um, and then you, you acquire that ability to go and, like, be good at anything. You can bet on yourself. Okay, like, how do you take on hard, hard tasks in life? You can only take it on if you have some confidence that, you know, you can keep persisting if things are not going your way, and, like, you, you, you'll see the light at the end of the tunnel. You have to have had to do it at least once in your life to, to bet

Aravind Srinivas 28:43 on yourself for the next, next set of-

Marina Mogilko 28:44 Is that where your confidence come, comes from?

Aravind Srinivas 28:46 Yeah, I've done like-

Marina Mogilko 28:47 'Cause you're like, "We're gonna take over Google. We're gonna take over this." [chuckles]

Aravind Srinivas 28:49 Yeah, exactly so.

Marina Mogilko 28:50 Where does that come from?

Aravind Srinivas 28:51 I mean, you never know. You don't need to take over like you can just, you know, be successful in your own way. But when you have a competitor like Google, it's very hard to... Like, that's what turns most people off. Like, like, sorry, what turns, turns most people away is, like, uh, how do you, uh, compete in a space where... Okay, let's say when we started, there were some other startups that were trying to do the same thing. They're all not around anymore. Like, they either sold or, like, they pivoted. So as you keep going every stage from the seed round to, like, where we are today, your set of competitors keep, you know, going away, too, and, and you're, like, surviving, surviving, surviving.

Marina Mogilko 29:27 Mm.

Aravind Srinivas 29:27 It's like Squid Games. And then, um, finally, you're ending up with in a, in a scenario or the arena where it's just Google, OpenAI, and yourself. And, uh, funding-wise, you know, like, we raised a billion dollars. OpenAI has raised close to, um, eighty billion or seventy billion. Google has, like, a hundred billion in just the cash, and they make two hundred, three hundred billion a year in revenue. So you, you are obviously competing with, like, giant monsters, so you have to, like, bet on yourself to, like, still figure out ways. Despite the whole world screaming at you that you have to sell to Apple, you have to sell to Meta, the game is over, like, you're, it's gonna die in, in a couple of years. I bet, I can bet my entire savings that this company is gonna go to nothing. And you have to be able to read all that and, like, still motivate yourself, and also motivate the people who have trusted you to, like, uh-... be the investors or the employees who are working here. I always see, like, those who take equity in our company, they're basically trusting the leadership and the company to, like, deliver.

Marina Mogilko 30:25 What do you tell yourself when you read those comments?

Aravind Srinivas 30:28 I tell myself that,

Aravind Srinivas 30:29 "I'll prove you wrong."

Marina Mogilko 30:29 And it keeps you going?

Aravind Srinivas 30:31 Yeah.

Marina Mogilko 30:31 That's, that's amazing. Is-- Do you think that's your main trait that made you who you are, your confidence?

Aravind Srinivas 30:35 One of, one of my important traits. I wouldn't say that's the singular-- I, I would say the single main trait at the end is, uh, it, it's not primal or anything. I, I, I, I generally just like to learn a lot about any topic, and I enjoy the intellectual aspects of it. That's my most important trait, I would say. People have multiple traits, and so do I. And, uh, the survival instinct is definitely, like, something that's, you know, served me very well.

Marina Mogilko 31:01 I love that.

Aravind Srinivas 31:02 Yeah.

Marina Mogilko 31:02 I love it. I-

Aravind Srinivas 31:03 I mean, immigrants are all survival-

Marina Mogilko 31:04 Yeah

Aravind Srinivas 31:05 ... survivors, right?

Marina Mogilko 31:05 [chuckles] We are.

Aravind Srinivas 31:06 Yeah.

Marina Mogilko 31:07 Uh, do you still work twenty-four/seven?

Aravind Srinivas 31:09 No one can work twenty-four/seven.

Marina Mogilko 31:10 Well, al- almost-

Aravind Srinivas 31:11 I-

Marina Mogilko 31:11 ... the time you're, you're awake.

Aravind Srinivas 31:13 Yeah, I... Technically, no, I, I spend-- I, I do spend, like, time working out. I do spend time with my family. Uh, so I do work or think about work almost every waking hour. So it's very hard for me to, like, not look at my phone or, like, not check notifications, uh, not be thinking about some problem in my head, uh, zoning out sometimes when someone's talking to me, trying to stay present in the moment. These are all, like, hard things. And so these are the things I would sacrifice in order to, like, do whatever I'm doing really well. People like to think like, "Oh, work is work. After you, uh, go back home, you just shut down Slack and, like, uh, your laptop, you never open it, and you're just, like, staying present in the moment at home." I, I, I cannot do that, and, uh, even on a walk, like, I, I'm thinking about something there's-

Marina Mogilko 32:02 You're obsessed

Aravind Srinivas 32:02 ... there's some phone calls.

Marina Mogilko 32:03 Yeah.

Aravind Srinivas 32:03 So, yeah, if that counts as work, yes. Uh, I mean, I've always... My mom, like, whenever I was young, like, always said, like, uh, "Anything that's not quality, like, time, undistracted time, does not really work."

Marina Mogilko 32:16 Mm.

Aravind Srinivas 32:16 And I, I've always believed that. Like, yes, I can be me- replying on Slack while I'm walking, taking a walk. Uh, that doesn't mean I'm really working. Some people like to count that as hours. And I know, I know E- when Elon says he works well hours a day, I, I'm sure he counts all that. But, uh, it's truly like, like, uh, the time I spend where I'm just looking at the product and thinking how to improve it or, uh, I'm, like, like, talking to some of our people internally on, like, what we can do to, like, grow the app more, or like, what, what are all the new ideas we can put into the app to make it even better? How can we improve the, uh, orchestration of the models even better? How can we reduce the cost? How can we ship new features? What are all the new things we could be doing? Like, those are the times when I think I'm uninterrupted-

Marina Mogilko 33:00 Mm-hmm

Aravind Srinivas 33:00 ... state, and I, uh, that, that's where I feel like I can do my best work, and that usually happens during the day. Um, other than that, I'm, I'm mostly just multitasking.

Marina Mogilko 33:10 Couple last questions. For all-- everyone who's trying to build something

Marina Mogilko 33:13 in AI, do you think opportunity still exists, uh, aside from... Like, everyone's building a GPT wrapper, [chuckles] right? Uh, do you say there is still opportunity for that, or people should switch, and what are the areas that they should be looking at?

Aravind Srinivas 33:26 Realistically, it's gotten much harder. Yes, like you, you would wanna build a GPT wrapper because building your own models, like, basically way harder.

Marina Mogilko 33:35 It's almost impossible for big-

Aravind Srinivas 33:37 Yeah, almost impossible

Marina Mogilko 33:38 ... for anyone.

Aravind Srinivas 33:38 And, and I, I don't even think people should be looking at it as, like, building a model once. So that, that's the mistake everybody made. It's whoever tried to build models around the time we started, was like: Yeah, how much does it cost to launch? I even had an investor, uh, who now went to Meta, and he's like: "Well, it's gonna cost two hundred thousand dollars to train a GPT-3 model, so why can't you do it? I'll, I'll give you, like, uh, a million, and you, you spend two hundred K on the model." Like, it, it's, it's not about, like, that one model. It's about that relentless exercise of iterating the models, building the next cluster, hiring the talent to go figure out, like, what the next model should be, and continually iterating, bringing down the cost, improving the capabilities, improving the reasoning, all that stuff. That requires a lab and a cluster, and the people, and the, uh, milestones, and, like, some way to, like, uh, actually turn all those models into, like, a product and, and, uh, a business and revenue. And then you end up basically, like, saying: "Oh, you have to build another open AI, another end product." Then what, what are you? Like, why do you need to exist? Like, okay, where is the talent arbitrage? So, uh, that's why I think product is actually at least, you know, a little more statistically probable. Uh, but even there, you have to compete with the likes of the labs themselves, which are building their own products-

Marina Mogilko 34:58 Yeah

Aravind Srinivas 34:58 ... and the big tech companies-

Marina Mogilko 34:59 Yeah

Aravind Srinivas 34:59 ... and, like, up- startups like us, and, and no one's gonna be like: "Oh, Perplexity is just gonna do, uh, research. I can go do the commerce stuff." [chuckles] No, like-

Marina Mogilko 35:09 Perplexity is in commerce. [chuckles]

Aravind Srinivas 35:10 Exactly, right?

Marina Mogilko 35:11 Right.

Aravind Srinivas 35:11 Like, everyone's building horizontal products.

Marina Mogilko 35:12 Yeah.

Aravind Srinivas 35:12 And, and, and that applies to us, too. "Oh, ChatGPT will never do shopping. ChatGPT will never do travel. Uh, it won't do finance." All that is, like, not true.

Marina Mogilko 35:20 Yeah.

Aravind Srinivas 35:20 Like, everyone's gonna do anything that works.

Aravind Srinivas 35:23 So I, I would just say the bet you can make is do what you truly are obsessed about, because, uh, fundamentally, it's a bet on yourself.

Marina Mogilko 35:33 Mm-hmm.

Aravind Srinivas 35:34 It's not a bet on the market. It's not a bet on, uh, ecosystem, like what competitors will do, will not do. Like, don't try to be this, uh, whiteboard, uh, strategy master. Like, it, it's completely pointless. Like, when, when your idea works and, and gets, like, hundred million or, like, billion in revenue, always expect the existing people to go after it.

Marina Mogilko 35:58 Right.

Aravind Srinivas 35:58 Because everyone's looking for that incremental revenue in AI, because the CapEx is so high. So the only way to justify all this is to actually turn that into, like, business profits.

Marina Mogilko 36:07 Mm-hmm.

Aravind Srinivas 36:07 And then so they'll go after you. So the only thing you can bet on is whether you're so obsessed about a topic that you will do it anyway, regardless of all the odds stacked against you, and then you'll prove the world wrong because you go so far deep into that, and, and no one cared about the problem more than you did.... and for us, like, for me, like, that's where the whole, you know, you asked me what my most important trait is, like, I love learning, and, and, um, this is one of the best apps for learning. It's designed for us, it's designed for our founders, like, we built it for ourselves. Key bet was everybody in the world loves learning. Everybody in the world loves having an AI that they can summon to go do stuff for them. Everybody wants more time in their lives. So I think, uh, build for yourself. Hopefully, uh, that's a thing that a lot of people in the world want, and therefore you can turn it into a scalable product and, and, and a scalable company.

Marina Mogilko 36:55 And get acquired [chuckles] at some stage, I guess. Uh, thank you. That's, that's a great answer.

Marina Mogilko 37:00 My last question: Do you use anything aside from Perplexity in terms of AI apps, and what are your top three favorite then?

Aravind Srinivas 37:05 Well, uh, as part of my job, I, I am required to use other apps, uh, to see, like, what they are doing better than us, uh, because no one's gonna be best at everything. So I, I, I have all the AI apps on my phone, with, you know, like, like ChatGPT, uh, Grok, Gemini, Claude, almost all of them I have it. Uh, I don't have Copilot and Claude, but maybe mainly because they're not that, that mainstream in terms of consumer distribution. But in terms of organic usage, like I, I do go pretty often and, and try. Uh, I would say I've, I've tested ChatGPT the most, but again, it, it mostly comes down to testing. Uh-

Marina Mogilko 37:46 So you don't use any, like, wrapper apps that are specific for, I don't know, nutrition or-

Aravind Srinivas 37:52 No

Marina Mogilko 37:52 ... image editing. So if you need something, you will just ask Perplexity and-

Aravind Srinivas 37:55 Yeah, if, if it doesn't work, I would ask it in ChatGPT.

Marina Mogilko 37:58 Mm.

Aravind Srinivas 37:58 And if it doesn't work there also, um... For example, if I need to edit an-- I, I'll just do my usage, right? If I need to do image editing, I've done that. Uh, and if it doesn't work on both ChatGPT and, uh, Perplexity, then I would, I would just write code myself and do it.

Marina Mogilko 38:13 I love that. [chuckles]

Aravind Srinivas 38:14 But that's, that's just me.

Marina Mogilko 38:15 But that's you. [chuckles]

Aravind Srinivas 38:15 Yeah.

Marina Mogilko 38:15 Yeah.

Aravind Srinivas 38:16 Same thing with, like, uh, search. Like, if it does-- Like, for example, we have an integrated tennis scores, and I love tennis. I, I like following live scores, so I go to Google and, and, you know, get the score. We haven't all done currency conversions all the time. Like, like, we are still working on that, so I use Google for, like, some of the widgets they have. And then sometimes finding these needles in a haystack, like links, we-we're not, like, best product on that yet.

Marina Mogilko 38:41 What do you mean by, by links?

Aravind Srinivas 38:43 Like, there are some really old links on the, like, some blog posts that I'm-- I definitely remember I read it, like, when I was a kid, and Perplexity sometimes helps me find that, but it's very old links. So, um, I still train to use Google with all the macros. Like, I know how to, like, suffix the dates and, like, all that stuff, so that's because we, we grew up like that, right?

Marina Mogilko 39:06 Mm.

Aravind Srinivas 39:06 Like, uh, back then, like, Googling was actually a skill. So if you knew how to, like, search for links with those specific phrases-

Marina Mogilko 39:13 Yeah

Aravind Srinivas 39:13 ... and, and, and/or contains and, like, those date suffixes, you can get whatever you want. And that also gives me ideas on how to improve the Perplexity product, too. Like, maybe teach the AI to, like, use some of these macros yourself and then, uh, against your index you're building, and, like, train that to, like, retrieve these things with these keyword arguments. So yeah, so my life, like, I, I think I would mostly say Perplexity, um, Google, ChatGPT, I think these are the three main apps I use. Uh, Midjourney sometimes, uh, because it has a pretty good aesthetic quality in it, and then, um, yeah, I feel like that's it.

Marina Mogilko 39:52 Got it. Thank you so much-

Aravind Srinivas 39:53 I mean, it's a kind of a boring answer, I guess.

Marina Mogilko 39:55 But, but yeah, well, that's, but that's you, right? [chuckles]

Aravind Srinivas 39:57 Yeah, that's me.

Marina Mogilko 39:58 That, that's you.

Aravind Srinivas 39:58 But the, the thing is, like, Comet, uh, lets me do anything right now.

Marina Mogilko 40:02 Yeah.

Aravind Srinivas 40:03 Like, I don't even have to go to these separate apps. Comet as a browser, um, you can... I-it, it actually does better search than even Perplexity because-

Marina Mogilko 40:12 Will you make it free for everyone with all the features?

Aravind Srinivas 40:14 Yeah.

Marina Mogilko 40:15 Yeah?

Aravind Srinivas 40:15 Not every feature.

Marina Mogilko 40:16 Mm-hmm.

Aravind Srinivas 40:16 We have to make some money here.

Marina Mogilko 40:18 Mm-hmm. [chuckles]

Aravind Srinivas 40:18 Uh, but yeah, but almost all the features we think will be available to everybody.

Marina Mogilko 40:22 And it's gonna be on mobile too, right? Or is it...

Marina Mogilko 40:25 Because I'm only using it on desktop.

Aravind Srinivas 40:27 That's right. So we just announced today that the Play Store, like, like, you can pre-register to get it. Uh, App Store pre-registering will be announced shortly. Uh, by end of the year, I think we should have it available on iOS and Android, um, and then also have it be, uh, generally available on desktop for both Windows and Mac.

Marina Mogilko 40:47 I love it.

Aravind Srinivas 40:48 Yeah.

Marina Mogilko 40:48 It's... It generally, it, it is a game changer.

Aravind Srinivas 40:50 So that's the thing with Comet, by the way.

Marina Mogilko 40:51 Mm-hmm.

Aravind Srinivas 40:52 You can summon it to go use Midjourney, go use, uh, Photoshop, and it will just do it for you.

Marina Mogilko 40:56 Yeah.

Aravind Srinivas 40:57 You don't even have to have these as apps-

Marina Mogilko 40:58 Yeah

Aravind Srinivas 40:58 ... you explicitly open. So it's, it's a super app. It's an everything app.

Marina Mogilko 41:02 It is.

Aravind Srinivas 41:02 Yeah.

Marina Mogilko 41:02 It is. It is fascinating. Thank you so much.

Aravind Srinivas 41:05 Thank you.

Marina Mogilko 41:05 That is so inspiring.

Aravind Srinivas 41:06 Thank you.

Marina Mogilko 41:06 I feel like, uh, we're tapping into the future, like, actually-

Aravind Srinivas 41:09 Yeah

Marina Mogilko 41:09 ... right now. Thank you.

Aravind Srinivas 41:10 Thanks.

Marina Mogilko 41:10 Thanks a lot.