How do we go from search engines to answer engines? With Perplexity AI’s Aravind Srinivas and Denis Yarats

With advances in machine learning, the way we search for information online will never be the same. This week on the No Priors podcast, we dive into a startup that aims to be the most trustworthy place to search for information online. Perplexity.ai is a search engine that provides answers to questions in a conversational way and hints at what the future of search might look like. Aravind Srinivas is a Co-founder and CEO of Perplexity. He is a former research scientist at Open AI and completed his PhD in computer science at University of California Berkeley. Denis Yarats is a Co-Founder and Perplexity’s CTO. He has a background in machine learning, having worked as a Research Scientist at Facebook AI Research and a machine learning engineer at Quora. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Aravind Srinivas on Google Scholar Denis Yarats on Google Scholar Perplexity AI Perplexity AI Discord AI Chatbots Are Coming to Search Engines. Can You Trust Them? - Scientific American Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @AravSrinivas | @denisyarats Show Notes:  [1:46] - How Perplexity AI iterates quickly and how the company has changed over time [5:46] - Approach to hiring and building a fast-paced team [10:43] - Why you don’t need AI pedigree to transition to work or research AI [14:01] - Challenges when transitioning from AI research to running a company as CEO & CTO [16:50] - Why Perplexity only shows answers it can cite [19:33] - How Perplexity approaches reinforcement learning [20:49] - Trustworthiness and if an answer engine needs a personality [23:05] - Why answer engines will become their own market segment [26:38] - Implications of “the era of fewer clicks” on publishers and advertisers [30:20] - Monetization strategy [33:20] - Advice for those deciding between academia or startups