How AI will answer questions we haven't thought to ask | Aravind Srinivas

Summary

Podcast Summary: TED Talks Daily

Episode: How AI Will Answer Questions We Haven't Thought to Ask | Aravind Srinivas
Host: TED (Elise Hu)
Release Date: February 13, 2025

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Introduction

In this episode of TED Talks Daily, host Elise Hu presents a compelling discussion with Aravind Srinivas, CEO of Perplexity, a cutting-edge search engine leveraging Artificial Intelligence (AI) to answer user queries more effectively. The conversation delves into the transformative role of AI in fostering human curiosity and enhancing our ability to ask and explore questions beyond our current imagination.

Aravind Srinivas' Background

Aravind Srinivas distinguishes himself from the stereotypical tech founder narrative. Unlike many in the startup ecosystem, he pursued academia diligently, earning a PhD in AI from Berkeley. He observes that a significant number of tech founders, especially in AI, hold advanced academic qualifications—"11 out of 24 speakers just at this conference have PhDs" (02:50). This trend, he notes, contrasts with a study from the University of Maryland indicating a 38% decline in startup formation by US PhDs over the past two decades (03:10), suggesting a potential shift in the intersection between academia and technology entrepreneurship.

The Role of AI in Enhancing Human Curiosity

Srinivas posits that the current AI revolution isn't merely about technological advancement but significantly about augmenting human curiosity. He references the Socratic method, highlighting that relentless questioning has been pivotal in human intellectual progress over centuries. AI, according to Srinivas, can amplify this innate human trait exponentially.

“Relentless questioning is something fundamentally human. The physicist David Deutsch has proposed that we humans are the only species who have curiosity for what is already familiar.” (06:30)

The Future of Technology and AI

Drawing parallels with historical technological milestones, Srinivas references an early vision of AI articulated by Larry Page of Google fame:

“Artificial intelligence would be the ultimate version of Google... it would understand your questions and give you the right thing.” (04:50)

He acknowledges that while AI has evolved beyond early predictions, the essence remains: creating tools that understand and respond to human queries more intelligently. This vision underscores Perplexity's mission to build an AI that doesn't just fetch information but curates trustworthy answers.

The Impact of AI on Access to Information

Srinivas emphasizes the democratizing power of AI in providing universal access to knowledge. Unlike traditional search engines that offer vast information pools requiring user discernment, AI-driven platforms like Perplexity aim to deliver reliable, well-cited answers, leveling the playing field for individuals regardless of their background or resources.

“A major achievement of AI would be to give everyone access to all of the world's answers. It doesn't matter if you're a Harvard professor or an underserved student in a developing nation, we all get access to the same answers.” (10:20)

This shift signifies a move from information accessibility to answer accessibility, where the quality and trustworthiness of responses are paramount.

The Importance of Questions in Human Progress

Central to Srinivas' thesis is the belief that the quality of questions fuels progress. With AI handling the heavy lifting of information retrieval and initial analysis, humans are liberated to formulate more sophisticated and exploratory questions. This symbiotic relationship between AI and human inquiry fosters an environment where knowledge generation becomes more dynamic and expansive.

“When all of the world's answers are available to all of the world's people, one can only wonder what will the best questions be? And how many such questions will get asked.” (12:45)

Conclusion

Aravind Srinivas concludes by envisioning a future where AI not only complements but enhances human intellect and curiosity. By providing trustworthy answers and enabling people to delve deeper into their inquiries, AI serves as a catalyst for unbounded human potential and innovation. He leaves listeners with a thought-provoking idea:

“I for one, can't wait to see what you'll ask next.” (14:00)

This sentiment encapsulates the essence of the conversation—AI as a partner in the endless pursuit of knowledge and understanding.

Key Takeaways

• Academic Influence in Tech: A notable presence of PhDs among AI founders indicates a blending of academia and technology entrepreneurship.

• AI as a Curiosity Enhancer: AI platforms like Perplexity are designed to amplify human curiosity by providing reliable and comprehensive answers.

• Democratization of Knowledge: AI ensures that high-quality answers are accessible to everyone, irrespective of their socio-economic background.

• Emphasis on Quality Questions: The future of progress lies in the ability to ask better and more profound questions, facilitated by AI.

• Symbiotic Relationship: AI and human curiosity work together to unlock new realms of knowledge and innovation.

Notable Quotes with Timestamps

• On Academic Presence in AI:

  "11 out of 24 speakers just at this conference have PhDs." (02:50)

• On Relentless Questioning:

  "Relentless questioning is something fundamentally human." (06:30)

• On AI's Future Vision:

  "Artificial intelligence would be the ultimate version of Google... it would understand your questions and give you the right thing." (04:50)

• On Universal Access to Answers:

  "A major achievement of AI would be to give everyone access to all of the world's answers." (10:20)

• On the Power of Questions:

  "When all of the world's answers are available to all of the world's people, one can only wonder what will the best questions be?" (12:45)

• On the Future of Human Inquiry:

  "I for one, can't wait to see what you'll ask next." (14:00)

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This episode of TED Talks Daily provides a visionary perspective on the interplay between AI and human curiosity, advocating for a future where technology empowers us to explore and question the world in unprecedented ways. Whether you're an AI enthusiast, a curious learner, or someone interested in the future of technology, Aravind Srinivas' insights present a thought-provoking narrative on the evolving landscape of human inquiry.

Transcript

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[Elise Hu]

You're listening to TED Talks Daily, where we bring you new ideas to spark your curiosity every day. I'm your host, Elise Hu. Aravind Srinivas is the CEO of Perplexity, a search engine that answers your questions by using the power of AI. In his 2024 talk, he explains why today's AI revolution may actually be a revolution in enhancing the very human trait of curiosity and questioning.

[Aravind Srinivas]

There are a couple of ways I'm not a traditional tech founder. I never dropped out of college. In fact, I kept going. I'm an academic, you could say, and it's okay to be proud that I have a PhD in AI from Berkeley right here in the Bay Area. But there's something interesting in AI that I've noticed. Compared to other tech founders or their stereotypes, at least a lot of us hold PhDs. I mean, quite a lot. 11 out of 24 speakers just at this conference have PhDs. And over a third are assistant, associate or full professors with major universities. Only time will tell if this is a new trend of seeing academics in technology startups. But I got pretty curious to find out if this is common or new. And it turns out this is somewhat new. Only over a year ago, the researchers at the University of Maryland found a 38% decline at the rate of startup formation or share of employment by US PhDs over the past 20 years. Yet our attendance here today and the trend in AI technology broadly does not seem to correlate with this finding. As I said, only time and more data will tell. In the meantime, my curiosity led me to another question. What was the last major technology company founded by academics? Google. At perplexity, we get accused of trying to kill Google a lot, but trust me, we're not really trying to kill things. We are motivated about building things. The co founders of Google would probably say the same. Let's hear from Larry Page, an interview of his from the year 2000.

[Larry Page]

Artificial intelligence would be the ultimate version of Google. So if we had the ultimate search engine, it would understand everything on the web. It would understand, you know, exactly what you wanted and it would give you the right thing. And that's obviously artificial intelligence. It will be able to answer any question, basically because almost everything is on the web, right?

[Aravind Srinivas]

Think about that artificial intelligence in the year 2000. I was only six back then. There are a few things interesting about this interview. One, Larry did accurately predict the future of search almost 25 years ago. The future of search is artificial intelligence. That's why I'm here and we're going to talk more about it. Second, it's very interesting how a common theme in interviews like those or events like these is us thinking about the future. What is the future of search? What is the future of technology? What is the future of AI? I'm sure a lot of you have lots of thoughts about these questions. In some sense that is the purpose of technology, to keep us thinking and to keep us evolving. But people like Larry, or people like you or people like me. We are not building technology in a vacuum. We are building technology for us, the people. We are the people. So when we come here to think about what is the future of technology or what is the future of AI, let's ask ourselves this question. What is the future of us, the people? I believe that AI will make us even more human. Socrates, the Greek philosopher, is famous for saying that wisdom comes from realizing how little we know, or that progress can only be made by asking better questions. The Socratic method is essentially the practice of relentless questioning. Relentless questioning is something academics do all the time. It has been core to the progress of human intellect over the past thousand years. Relentless questioning is also a practice that can be done orders of magnitude better with the power of AI. And by the way, relentless questioning is something South Indian parents do when you tell them you're leaving a good university or a stable job to go join a startup. So, jokes aside, relentless questioning is something fundamentally human. The physicist David Deutsch has proposed that we humans are the only species who have curiosity for what is already familiar. We can know so much about the stars above us or the machines in front of us, and yet continue to have more questions about them. It seems like for humans, every answer leads to a new set of questions, questions that we haven't even asked before. That, to me, is what the future of technology should be about. And it's also how perplexity was born. I was raised as an academic in the comforting arms of universities. So when I actually entered the real world and tried to do my own company, I had an endless set of questions. Spv, safe notes, health insurance. I needed to figure all these things out, and all these required to do a lot of research. I needed actual answers, and traditional search engines left me lost. There was a ton of information and very little time to evaluate any of it. And neither did I have access to all of the experts on all these topics. So I was actually truly in a state of perplexity. So that's when I thought, maybe I could have an AI do this for me. Maybe I could go ask an AI all these questions if it was able to pull information from the web and answer all my questions. So my co founders and I came together and we built a slack bot where we could just ask our own questions. Once we began using it is when we realized what we built was much bigger than ourselves. For the first time, I had the ability to go ask whatever question I wanted about any topic, no matter my level of expertise in it, and get a well Researched answer from the web. And it's not just about an answer, it's an answer that I can actually trust. In this case, every answer in perplexity comes with sources from the web in the form of citations, just like academics cite their sources. Now this is pretty powerful because trust is not unique to animals or humans, but it empowers us pretty differently. In the case of humans, an answer you could trust allows you to ask better follow up questions. More questions lead to more knowledge. That's the point of ensuring that you could always get an answer with well cited sources. And in perplexity, ever since the beginning, every answer has always come with sources that allows you to ask more questions. In my case, once I ask questions about safe notes or insurance, I ask more questions. What areas outside of insurance could I benefit from having access to better answers? Who else in the world benefits from having access to better answers? Now the answer is basically all of us, every single person benefits from having access to better answers. This is such a profound shift in human history. Until recently, if you wanted the best answers, you had to be someone who could afford it. You had to be someone who had access to the greatest minds in the world or the best materials, libraries, expertise. And now that's changing. If a major achievement of the Internet was to give everyone access to all of the world's information, a major achievement of AI would be to give everyone access to all of the world's answers. It doesn't matter if you're a Harvard professor or an underserved student in a developing nation, we all get access to the same answers. With AI that keeps getting better and better at answering all our questions. The marginal cost of research is rapidly approaching zero. In that new era of humanity that AI is powering, knowledge does not really care about who you are, where you're from, or who you have access to. Rather, what matters is the next question you're going to ask. When all of the world's answers are available to all of the world's people, one can only wonder what will the best questions be? And how many such questions will get asked. This is again where David Deutsch argues that human potential is infinite. As long as we keep engaging in relentless questioning and keep asking interesting set of questions, sky's the limit in terms of what we can actually learn. For example, humans are always curious. You can see that in babies. Even before they learn to crawl, they're pretty curious about what's around them. That's a natural trait for all of us. Take an example for the technologies that we are building. In the case of bot, that became perplexity. Once I got answers to something like health insurance, I could ask an infinite set of new questions, ranging from very pointed ones like what are concrete ways to improve the healthcare and insurance industry? To very broad ones like who else would benefit from having access to such a technology? It seems to a curious species, every question and answer that you get is a lead to the next set of questions and spawns several paths of curiosity, more than any one person can keep track of. So when we are here to wonder about what is the future of technology or what is the future of AI, we are merely talking about the outputs, the outputs of a much bigger what is the future of human curiosity? It is my strong belief that in an age where AI gets better and better at answering all our questions, this human quality that makes us so human will become even more essential. Our innate curiosity and our relentless questioning, with all of the world's answers available to us, the tools we use to ask our questions, and the stuff that we build using those answers, those to me, are the future of our technology. And more importantly, that is the future of us, the future of humans. We are all curious. And when we are curious, we want answers. We really do. But what we really want are those answers that lead us to the next set of questions. And I for one, can't wait to see what you'll ask next. Thank you.

[Elise Hu]

That was Aravind Srinivas at TED AI.

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San Francisco in 2024.

[Elise Hu]

If you're curious about Ted's curation, find out [e-mail] curationguidelines and that's it for today's show. Ted Talks Daily is part of the TED Audio Collective. This episode was produced and edited by our team, Martha Estefanos, Oliver Friedman, Brian Greene, Lucy Little, Alejandra Salazar and Tonsika Sarmarnivon. It was mixed by Christopher Faizy Bogan. Additional support from Emma Tobner and Daniela Ballarezzo. I'm Elise Hu. I'll be back tomorrow with a fresh idea for your feed. Thanks for listening.

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