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Jim talks with Aravind Srinivas, co-founder and CEO of the AI-powered search engine Perplexity. They discuss Jim’s use of Perplexity, its wide range of use cases, why Google search is limited by fear of mistakes, retrieval-augmented generation (RAG), citations, coming up with the idea, leveraging existing tools vs inventing everything, the core product experience, how the orchestration engine works, semantic vector databases, testing Perplexity as a hedge fund strategist, the Perplexity API, Perplexity’s moat, maintaining cognitive sovereignty, paid tiers, what the company needs to succeed, having individuals as major investors, debunking rumors of acquisition by NVIDIA, affordances for coders, and much more.
Aravind Srinivas is the CEO of Perplexity, the conversational “answer engine” that provides precise, user-focused answers to queries — with in-line citations. Aravind co-founded the company in 2022 after working as a research scientist at OpenAI, Google, and DeepMind. To date, Perplexity has raised over $165 million from investors including Jeff Bezos, Nat Friedman, Elad Gil, NVIDIA, and the late Susan Wojciki. He has a PhD in computer science from UC Berkeley and a Bachelors and Masters in Electrical Engineering from the Indian Institute of Technology, Madras.