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Best of the Pod: Dwarkesh Patel’s Quest to Learn Everything

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Inhalt bereitgestellt von Dan Shipper. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Dan Shipper oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

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!

Sponsor:

Gemini: Experience high quality AI video generation with Google's most capable video model: Veo 3. Try it in the Gemini app at gemini.google with a Google AI Pro plan or get the highest access with the Ultra plan.

Want even more?

Sign up for Every to unlock our ⁠ultimate guide to prompting ChatGPT here⁠. It’s usually only for paying subscribers, but you can get it here for free.

To hear more from Dan Shipper:

- ⁠Subscribe to Every⁠

- ⁠Follow him on X⁠

Links to resources mentioned in the episode:

- ⁠Dwarkesh Patel⁠

- 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

  continue reading

79 Episoden

Artwork
iconTeilen
 
Manage episode 497412851 series 3645347
Inhalt bereitgestellt von Dan Shipper. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Dan Shipper oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

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!

Sponsor:

Gemini: Experience high quality AI video generation with Google's most capable video model: Veo 3. Try it in the Gemini app at gemini.google with a Google AI Pro plan or get the highest access with the Ultra plan.

Want even more?

Sign up for Every to unlock our ⁠ultimate guide to prompting ChatGPT here⁠. It’s usually only for paying subscribers, but you can get it here for free.

To hear more from Dan Shipper:

- ⁠Subscribe to Every⁠

- ⁠Follow him on X⁠

Links to resources mentioned in the episode:

- ⁠Dwarkesh Patel⁠

- 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

  continue reading

79 Episoden

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