How do we go from search engines to answer engines? With Perplexity AI’s Aravind Srinivas and Denis Yarats | No Priors: Artificial Intelligence | Machine Learning | Technology | Startups

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Description

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

Transcript