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コンテンツは Rob Wiblin and Keiran Harris and The 80000 Hours team によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Rob Wiblin and Keiran Harris and The 80000 Hours team またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal
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Actually After Hours #3: Finding the Tail with Dwarkesh Patel

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Manage episode 414125668 series 3320433
コンテンツは Rob Wiblin and Keiran Harris and The 80000 Hours team によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Rob Wiblin and Keiran Harris and The 80000 Hours team またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Matt Reardon, Arden Koehler, and Huon Porteous sit down with Dwarkesh Patel to find out how you become a world-famous (among tech intellectuals) podcast host at 23. We also discuss how 80k would have advised 21-year-old Dwarkesh and 80k strategy more broadly.

You can check out the video version of this episode on YouTube at https://youtu.be/H5px6CQTe8o

Topics covered:

  • How did Dwarkesh start landing world-class guests?
  • Why is Bryan Caplan such an easy get?
  • How does Dwarkesh think about ideological labels?
  • Dwarkesh explains his pivot towards AI
  • Do intellectuals matter for progress?
  • Was Microsoft or the Gates Foundation more impactful?
  • Do biographies ever matter more than their subjects?
  • How would 80k have advised young Dwarkesh?
  • What does motivate people in government and what should motivate people in government?
  • Should do-gooders seek power?
  • Should 80k advice always aim at the tails?
  • Are people just layering their simple political memes onto the AI debate?
  • How do you boost people’s agency?
  • How do we feel about self-perceived entrepreneurs?
  • What’s the tradeoff between having the right initiative and having the right ideas?
  • How does 80k’s advice deal with AI timelines?
  • Are 80k users self-selected for not being the highest potential people?
  • Should you assume that everyone can make it to the extreme tail?
  • In how many areas should 80k have detailed advice?
  • What happened to the EA brand?
  continue reading

94 つのエピソード

Artwork
iconシェア
 
Manage episode 414125668 series 3320433
コンテンツは Rob Wiblin and Keiran Harris and The 80000 Hours team によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Rob Wiblin and Keiran Harris and The 80000 Hours team またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Matt Reardon, Arden Koehler, and Huon Porteous sit down with Dwarkesh Patel to find out how you become a world-famous (among tech intellectuals) podcast host at 23. We also discuss how 80k would have advised 21-year-old Dwarkesh and 80k strategy more broadly.

You can check out the video version of this episode on YouTube at https://youtu.be/H5px6CQTe8o

Topics covered:

  • How did Dwarkesh start landing world-class guests?
  • Why is Bryan Caplan such an easy get?
  • How does Dwarkesh think about ideological labels?
  • Dwarkesh explains his pivot towards AI
  • Do intellectuals matter for progress?
  • Was Microsoft or the Gates Foundation more impactful?
  • Do biographies ever matter more than their subjects?
  • How would 80k have advised young Dwarkesh?
  • What does motivate people in government and what should motivate people in government?
  • Should do-gooders seek power?
  • Should 80k advice always aim at the tails?
  • Are people just layering their simple political memes onto the AI debate?
  • How do you boost people’s agency?
  • How do we feel about self-perceived entrepreneurs?
  • What’s the tradeoff between having the right initiative and having the right ideas?
  • How does 80k’s advice deal with AI timelines?
  • Are 80k users self-selected for not being the highest potential people?
  • Should you assume that everyone can make it to the extreme tail?
  • In how many areas should 80k have detailed advice?
  • What happened to the EA brand?
  continue reading

94 つのエピソード

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