Aravind Srinivas
👤 PersonAppearances Over Time
Podcast Appearances
You know, what is the health insurance, like the first employee we hired, he came and asked us for health insurance. Normal need. I didn't care. I was like, why do I need a health insurance if this company dies? Like, who cares? My other two co-founders had, were married, so they had health insurance to their spouses. But this guy was like looking for health insurance.
And I didn't even know anything. Who are the providers? What is co-insurance or deductible? Or like, none of these made any sense to me. And you go to Google, insurance is a category where, like a major ad spend category. So even if you ask for something, Google has no incentive to give you clear answers.
And I didn't even know anything. Who are the providers? What is co-insurance or deductible? Or like, none of these made any sense to me. And you go to Google, insurance is a category where, like a major ad spend category. So even if you ask for something, Google has no incentive to give you clear answers.
And I didn't even know anything. Who are the providers? What is co-insurance or deductible? Or like, none of these made any sense to me. And you go to Google, insurance is a category where, like a major ad spend category. So even if you ask for something, Google has no incentive to give you clear answers.
They want you to click on all these links and read for yourself because all these insurance providers are bidding to get your attention. So we integrated a Slack bot that just pings GPT 3.5 and answered a question. Now, sounds like problem solved, except we didn't even know whether what it said was correct or not. And in fact, we're saying incorrect things.
They want you to click on all these links and read for yourself because all these insurance providers are bidding to get your attention. So we integrated a Slack bot that just pings GPT 3.5 and answered a question. Now, sounds like problem solved, except we didn't even know whether what it said was correct or not. And in fact, we're saying incorrect things.
They want you to click on all these links and read for yourself because all these insurance providers are bidding to get your attention. So we integrated a Slack bot that just pings GPT 3.5 and answered a question. Now, sounds like problem solved, except we didn't even know whether what it said was correct or not. And in fact, we're saying incorrect things.
And we were like, okay, how do we address this problem? And we remembered our academic roots. Dennis and myself are both academics. Dennis is my co-founder. And we said, okay, what is one way we stop ourselves from saying nonsense in a peer review paper? We're always making sure we can cite what it says, what we write, every sentence. Now, what if we ask the chatbot to do that?
And we were like, okay, how do we address this problem? And we remembered our academic roots. Dennis and myself are both academics. Dennis is my co-founder. And we said, okay, what is one way we stop ourselves from saying nonsense in a peer review paper? We're always making sure we can cite what it says, what we write, every sentence. Now, what if we ask the chatbot to do that?
And we were like, okay, how do we address this problem? And we remembered our academic roots. Dennis and myself are both academics. Dennis is my co-founder. And we said, okay, what is one way we stop ourselves from saying nonsense in a peer review paper? We're always making sure we can cite what it says, what we write, every sentence. Now, what if we ask the chatbot to do that?
And then we realized that's literally how Wikipedia works. In Wikipedia, if you do a random edit, people expect you to actually have a source for that. Not just any random source, they expect you to make sure that the source is notable You know, there are so many standards for like what counts as notable and not. So we decided this is worth working on.
And then we realized that's literally how Wikipedia works. In Wikipedia, if you do a random edit, people expect you to actually have a source for that. Not just any random source, they expect you to make sure that the source is notable You know, there are so many standards for like what counts as notable and not. So we decided this is worth working on.
And then we realized that's literally how Wikipedia works. In Wikipedia, if you do a random edit, people expect you to actually have a source for that. Not just any random source, they expect you to make sure that the source is notable You know, there are so many standards for like what counts as notable and not. So we decided this is worth working on.
And it's not just a problem that will be solved by a smarter model because there's so many other things to do on the search layer and the sources layer and making sure like how well the answer is formatted and presented to the user. So that's why the product exists.
And it's not just a problem that will be solved by a smarter model because there's so many other things to do on the search layer and the sources layer and making sure like how well the answer is formatted and presented to the user. So that's why the product exists.
And it's not just a problem that will be solved by a smarter model because there's so many other things to do on the search layer and the sources layer and making sure like how well the answer is formatted and presented to the user. So that's why the product exists.
I think of perplexity as a knowledge discovery engine, neither a search engine. I mean, of course we call it an answer engine, but everything matters here. The journey doesn't end once you get an answer. In my opinion, the journey begins after you get an answer. You see related questions at the bottom, suggested questions to ask. Why?
I think of perplexity as a knowledge discovery engine, neither a search engine. I mean, of course we call it an answer engine, but everything matters here. The journey doesn't end once you get an answer. In my opinion, the journey begins after you get an answer. You see related questions at the bottom, suggested questions to ask. Why?
I think of perplexity as a knowledge discovery engine, neither a search engine. I mean, of course we call it an answer engine, but everything matters here. The journey doesn't end once you get an answer. In my opinion, the journey begins after you get an answer. You see related questions at the bottom, suggested questions to ask. Why?
Because maybe the answer was not good enough or the answer was good enough, but you probably want to dig deeper and ask more. And that's why in the search bar, we say where knowledge begins, because there's no end to knowledge. You can only expand and grow. Like that's the whole concept of the beginning of infinity book by David Dosh. You always seek new knowledge.