@rohanpaul_ai: Full video on "Sourcery with Molly O'Shea" YouTube channel

Full video on “Sourcery with Molly O’Shea” YouTube channel

https://t.co/Onn1EDzML9

TL;DR: Perplexity co-founder and CEO Arvin Schneavas discussed the brand’s essence as a celebration of curiosity, why its offices are named after scientists, the logic behind building a trillion-dollar company solely on the U.S. market, and his views on the American dream and his entrepreneurial role model Larry Page in a walking interview.

Recent Momentum: The Comet Browser and Chip Partnerships

Perplexity has had tremendous momentum recently, opening its AI browser Comet to all users this week. The interview also mentioned that data centers are coming to your laptop; when the company was just starting out, people laughed at them, but they accomplished this in a way that “actually became the blueprint for every other chatbot.”

On partnerships, Schneavas said: “We don’t have competitors; we have contributors.” He is delighted to work with outstanding chip companies such as Nvidia, Apple, and Intel, and will continue working with all of them. Nvidia is reportedly considering investing in the company at a valuation exceeding $30 billion.

The Essence of the Brand: Celebrating Curiosity

The interviewer noted that there is a competition among AI brands, but Perplexity has maintained a respectable brand image from the start, with “really good brand vibes.”

Schneavas replied: “Our brand is fundamentally about celebrating curiosity.” They chose this because they believe it will be the one human quality worth taking pride in, and as AI gets better and better, we should ground ourselves in it even more. “AI is the best catalyst for our curiosity. The purpose of AI is almost to accelerate human curiosity.”

He quoted Oxford physicist David Deutsch on something that is almost a thesis: humans are the only species capable of remaining curious about things they already know. We may already know something, then look at it again and try to think about it from another angle. Animals generally do not do this.

This leads to a sharper question: if AI can solve every problem and answer any question, what is the human role? His answer is—the human role is to ask the next set of questions.

“We are naturally designed to ask questions. But we grow up in an environment where we are rewarded for giving answers—until AI came along. Now, when AI can answer everything, being a know-it-all is no longer cool. Nobody needs to seek out an expert to learn about a topic anymore. You can just ask AI, whichever AI you trust to give you accurate answers.”

The purpose then becomes “going deeper into your curiosity and not being afraid to ask any question—however stupid it may seem, however much of a novice you feel you are on the topic. You don’t need to feel that bottleneck or that fear of being judged.”

A Fundamental Philosophy Independent of Technology

Schneavas believes the best companies always have a fundamental brand philosophy that is independent of technology and has more to do with human nature and people themselves.

• The brand Steve Jobs built for Apple was about bringing beautiful things into the world, because that was the best way to give back to and celebrate humanity.
• Nvidia’s mission is to accomplish things that only supercomputers can do; it was never about AI. Even if you read its mission on its website today, it is about doing things beyond the scope of ordinary computing—something that applies to AI today, could apply to quantum computing tomorrow, and might later apply to cryptocurrency or Bitcoin.

“It’s very important to build a brand around something independent of technology, fundamentally accelerating things related to human progress and human qualities. That’s something we’re very proud of—we got this right from the beginning.”

Why the Meeting Rooms Are Named After Scholars

Every room on this floor is named after a scholar. Schneavas said he did not want to take credit for the idea, because his brand is about citations and sources, and the idea was influenced by his time at DeepMind—Demis (Hassabis) was actually the originator of the idea of naming rooms after scientists.

He explained why this influence was so profound: while pursuing his PhD, he interned at several companies—at Google and Google Brain, where all the meeting rooms had names like… Priscilla, Pack Heights, and Mission; the offices in San Francisco or Mountain View used movie names; and OpenAI named its offices after science fiction films. “Those are all pretty cool, but there’s nothing different about them.” Even their current office, subleased from another company, has rooms named after a bunch of movies.

But Demis did more than name rooms after scientists: in rooms named after philosophers, there were no TVs for joining meetings; instead, they had whiteboards specifically for face-to-face discussions. “So I really wanted to do something similar. My dream was that if I had a company, I would definitely replicate this.”

This also inspires people, because scientists are celebrated because they all ask questions:

Every great invention is about asking a question. The transistor was about—in those days, there were as many telephone engineers as there are software engineers today, and only three people were asking this question: can we have something fundamentally better than hot vacuum tubes? That led to the invention of the junction transistor, fundamentally changing modern computing.

“Maybe it doesn’t matter—you can name meeting rooms after other things. But every time someone enters a meeting room, every time someone books one, it has an impact. You’re constantly reminded that you work here because we fundamentally celebrate the spirit of asking questions.”

His Favorite Room: Ramanujan

Schneavas said he really likes Ramanujan. He is, of course, from India, and Ramanujan came from the same part of India as him, so he has tremendous respect for him. But what he values more is this: “Ramanujan is the embodiment of the spirit of human intuition.”

As we gain more AI, more tools, more access to context, and more computing power, people tend to rationally analyze and think deeply about many things, without celebrating fundamental human intuition and human curiosity—which remain incredibly powerful. “There’s a reason it exists. It guides us, guides us in things we can’t explain, but it seems to know exactly what we should do or what we want to do. And he is the perfect example of intuition. Almost as if it revealed itself to me in a dream.”

A Trillion-Dollar Company, Solely on the U.S. Market

The interviewer mentioned that before recording, they had discussed travel schedules and jet lag, and Schneavas made a key point: you can build a trillion-dollar company based solely on the United States.

His examples were Berkshire Hathaway, worth a trillion dollars, and JP Morgan, worth almost a trillion dollars (about $940 billion), both of which have customer bases primarily in the United States.

The United States makes this possible because it is a country with powerful self-reinforcing dynamics:

• People don’t just consume once. Once they fall in love with a product, they consume a lot of it, resulting in very high customer lifetime value and substantial consumption potential;
• GDP growth is very strong, and it is a very hardworking country where people always want to try new things;
• People have all kinds of creative ideas for starting businesses that have never existed before. “It’s the only country with this sustained entrepreneurial spirit.”

“You capture a tremendous amount of value by meeting that demand.”

Perplexity’s Strategy: The Most Trusted Model-Neutral Agent Platform

“That’s exactly why we’re building Perplexity Computer. We want to maximize the amount of productive work that people at these new companies emerging here delegate to agents, and we want to do that by becoming the most trusted model-neutral agent platform. We’re orchestrating frontier models and open-source models. That’s basically the strategy. It’s very simple.”

The more it does, the more users trust AI and agents to handle additional workloads—“and they don’t have time to hire lots of people. This isn’t about wanting to do everything with AI. It’s more that when you’re a new company, finding the right people is very difficult.”

He recalled his early days as a founder: “At first, I had absolutely no idea whom to hire. I actually made the first 10 to 20 people do a trial. This wasn’t a strategy; it was a survival mechanism. It wasn’t that I was some genius who came up with a different hiring strategy by requiring trials. I genuinely didn’t know how to hire. Because there are many qualities you need as a founding engineer, and those qualities are very specific and unique to your company, you have no way to create a scoring rubric. So I just said: hey, let’s work together for a week. For the people who ultimately joined, we usually knew within two days that they were right; for those who still didn’t seem quite right after seven days, we were still unsure. So that was also a good signal. But that kind of flexibility doesn’t exist for the average person starting a business in America.”

Don’t Optimize for Valuation; Optimize for Usefulness

“If you can do this effectively, you can build an extraordinarily valuable company. And you won’t be thinking about how to reach a trillion-dollar valuation; you’ll be thinking about how to be useful. If you become useful at scale to large numbers of American consumers and small and medium-sized businesses, perhaps five or ten years later you’ll say: wow, I’m worth a trillion dollars now, but I didn’t optimize for that.”

He added that Berkshire and JP Morgan achieved this through finance—as a holding company or through lending to maximize returns—but some product companies have also reached that level, such as Apple, at roughly five trillion dollars. “You could say Apple is also the biggest company serving small and medium-sized businesses and enterprises, but they didn’t get there by wanting to become that. They just built world-class products that we all love and use. They didn’t set out to become a company with a billion users; it just happened naturally over time.”

The Future Belongs to Smaller, More Efficient Companies

Schneavas believes many future companies will be much smaller while still making a lot of money. People make a big deal of selling products to Fortune 100 and 500 companies and measure success by that, “because that’s what growth-stage investors want to see—it makes them believe that revenue is durable and won’t disappear overnight.”

But the future of U.S. GDP growth may come more from smaller, midsize businesses, “which will have higher productivity, greater capital efficiency, leaner headcounts, and create value faster through these tools, through more AI-native and less bureaucratic ways of working.”

“If you’re not sharing in all their progress by providing the tools they need to succeed, then obviously it’s going to be hard for you to succeed yourself. So I think we built this for people like us, and that makes me believe there will be more people like us in the future, except they won’t have to build these tools themselves. We can provide those tools for them.”

The American Dream: Outsiders Can Come and Change Things Here Too

The interviewer noted that the current situation is strange—graduates hate AI, yet everyone uses AI in their tools; many brands have really bad vibes. He wanted to know how all of this fits together and what the opportunity to build a business in America means.

Schneavas replied: “I think there’s an enormous opportunity here that doesn’t exist in any other country.”

“I can’t think of another country where, as an outsider, you can come here wanting to improve things, and people don’t just allow you to do it, they actually invest in you to do it—and of course they share in the profits from your success. But that mindset of taking risks, that spirit of encouraging others to take risks by providing venture capital or funding from family and friends, and helping them succeed, being happy for someone’s success—actually watching them solve very difficult problems and feeling like you’re part of the journey—that is a very distinctive trait of America’s Silicon Valley.”

Silicon Valley is essentially the embodiment of the American dream in technology entrepreneurship: “Fundamentally, the American dream is that here you can dream of solving very difficult problems and be rewarded for it, whoever you are. That’s what still excites me to this day. I still think this is the only country—we don’t actually appreciate this enough—but it’s still the only country that allows us to do this.”

He also mentioned that people here are extremely ambitious and continually build on their success: “Everyone comes here, and initially, for me, it was like: oh, let me get a job, that would be great—where I came from, as a middle-class kid in India, that was success. But when you see other people, their ambition is contagious, and it makes you dream bigger. So it’s not just a static dream. You come here, you see other people dreaming bigger and bigger, and you want to match them. The peer pressure here is enormous, and it still is. Sometimes I still think about how lucky I am to be here.”

Entrepreneurial Role Model: Larry Page

The interviewer asked what greatness means to him and whether anyone has inspired him.

Schneavas said he had listened to this podcast, and people always answer this question with Elon and Steve Jobs, “and that’s certainly true; they say that because both of them are extraordinary.”

“Obviously, my entrepreneurial role model is Larry Page. He doesn’t get discussed much because he’s not very active in the public eye. But I think he has some fundamental philosophies about product design and companies that have influenced me, one of which is the philosophy that ‘the user is always right.’ I still follow that to this day. When a product doesn’t work well for me…”

(The interview cuts off here)

Source: https://www.youtube.com/watch?v=1C8_n9nnx5Y