Dwarkesh Patel is on a quest to know everything.
He’s using LLMs to enhance how he reads, learns, thinks, and conducts interviews.
Dwarkesh is a podcaster who’s interviewed a wide range of people, like Mark Zuckerberg, Tony Blair, and Marc Andreesen. Before conducting each of these interviews, Dwarkesh learns as much as he can about his guest and their area of expertise—AI hardware, tense geopolitical crises, and the genetics of human origins, to name a few.
The most important tool in his learning arsenal? AI—specifically Claude, Claude Projects, and a few custom tools he’s built to accelerate his workflow.
He does this by researching extensively, and as his knowledge grows, each piece of new information builds upon the last, making it easier and easier to grasp meaningful insights.
In this interview, I turn the tables on him to understand how the prolific podcaster uses AI to become a smarter version of himself. We get into:
- How he uses LLMs to remember everything
- His podcast prep workflow with Claude to understand complex topics
- Why it’s important to be an early adopter of technology
- His taste in books and how he uses LLMs to learn from them
- How he thinks about building a worldview
- His quick takes on the AI’s existential questions—AGI and P(doom)
We also use Claude live on the show to help Dwarkesh research for an upcoming podcast recording.
This is a must-watch for curious people who want to use AI to become smarter.If you found this episode interesting, please like, subscribe, comment, and share!
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To hear more from Dan Shipper:
Links to resources mentioned in the episode:
- Dwarkesh’s podcast and newsletter
- Dwarkesh’s interview with researcher Andy Matuschak on spaced repetition
- The book about technology and society that both Dan and Dwarkesh are reading: Medieval Technology and Social Change
- Dan’s interview with Reid Hoffman
- The book by Will Durant that inspires Dwarkesh: Fallen Leaves
- One of the most interesting books Dwarkesh has read: The Great Divide
- Upcoming guests on Dwarkesh’s podcast: David Reich and Daniel Yergin
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