---
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title: How to Use AI to Become a Learning Machine - Ep. 34 with Simon Eskildsen
description: >-
  This episode is sponsored by Reflect. It’s the ultra-fast note-taking app
  that’s about to change the way you take notes. To boost your productivity with
  advanced features like custom prompts and voice transcripts, give Reflect a
  try by clicking on this link:
  https://reflect.app/?utm_source=every&utm_medium=sponsorship&utm_campaign=september2024
  Simon Eskildsen is a learning machine. I first interviewed him in 2020 about
  how he leveled up from an intern at Shopify to the company’s director of
  production engineering by reading and applying insights from hundreds of
  books. A lot has changed over the last four years. LLMs have made it possible
  to contextualize information like never before—and in this episode, I sat down
  with Simon to talk about how this changes the way he learns. Simon is now the
  cofounder and CEO of AI startup turbopuffer, which is building a search engine
  that makes vector search easy and affordable to run at scale. We get into: How
  Simon’s learning rituals have evolved over time, as the cofounder of a growing
  startup and a new parent The ways Simon has integrated ChatGPT, Claude, and
  Notion AI to do everything from writing legal documents to maintaining his
  rural cabin in Quebec The custom AI commands in productivity tool Raycast that
  Simon uses to learn new words and cook creative dishes Simon’s take on how
  language models will reshape the future of learning, especially skills like
  language acquisition, for the next generation As we talk, we screenshare
  through his Anki setup, including the flashcard template he finds most useful,
  and try out his custom AI commands in Raycast to understand the meaning of two
  of my favorite obscure words, “lambent” and “eigengrau.” This is a must-watch
  for note-taking aficionados and anyone who wants to supercharge their learning
  with AI. If you found this episode interesting, please like, subscribe,
  comment, and share! Want even more? Sign up for Every to unlock our ultimate
  guide to prompting ChatGPT here:
  https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only
  for paying subscribers, but you can get it here for free. To hear more from
  Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X:
  https://twitter.com/danshipper Timestamps: 00:00:00 - Teaser 00:01:06 -
  Introduction 00:02:51 - How entrepreneurship and parenthood changed Simon's
  learning rituals 00:12:59 - How Simon accelerates his learning by using LLMs
  to find associations 00:18:24 - Simon's Anki setup and the flashcard template
  he swears by 00:26:02 - The custom AI commands that Simon uses most often
  00:37:45 - How Simon uses LLMs for DIY home projects 00:40:48 - Leveraging
  LLMs as intuitive translators 00:51:38 - Simon's take on how AI is reshaping
  the future of learning 00:59:10 - How to use Notion AI to write 01:08:53 - The
  AI tools that Simon uses to write, read, and code Links to resources mentioned
  in the episode: Simon Eskildsen: https://twitter.com/Sirupsen Simon’s startup,
  turbopuffer: turberpuffer.com, https://twitter.com/turbopuffer My first
  interview with Simon in 2020:
  https://every.to/superorganizers/how-to-build-a-learning-machine-299655 The
  productivity tool through which Simon uses LLMs, Raycast:
  https://www.raycast.com/ The other AI tools that Simon is experimenting with:
  voice-to-text tool superwhisper https://superwhisper.com/, copilot for
  developers Supermaven https://supermaven.com/, code editor Cursor
  https://www.cursor.com/
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/video/how-to-use-ai-to-become-a-learning-machine-ep-34-wi-42c435f4f872
markdown: >-
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updated: '2026-10-24T01:11:10.631Z'
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# How to Use AI to Become a Learning Machine - Ep. 34 with Simon Eskildsen

This episode is sponsored by Reflect. It’s the ultra-fast note-taking app that’s about to change the way you take notes. To boost your productivity with advanced features like custom prompts and voice transcripts, give Reflect a try by clicking on this link: https://reflect.app/?utm_source=every\&utm_medium=sponsorship\&utm_campaign=september2024 Simon Eskildsen is a learning machine. I first interviewed him in 2020 about how he leveled up from an intern at Shopify to the company’s director of production engineering by reading and applying insights from hundreds of books. A lot has changed over the last four years. LLMs have made it possible to contextualize information like never before—and in this episode, I sat down with Simon to talk about how this changes the way he learns. Simon is now the cofounder and CEO of AI startup turbopuffer, which is building a search engine that makes vector search easy and affordable to run at scale. We get into: How Simon’s learning rituals have evolved over time, as the cofounder of a growing startup and a new parent The ways Simon has integrated ChatGPT, Claude, and Notion AI to do everything from writing legal documents to maintaining his rural cabin in Quebec The custom AI commands in productivity tool Raycast that Simon uses to learn new words and cook creative dishes Simon’s take on how language models will reshape the future of learning, especially skills like language acquisition, for the next generation As we talk, we screenshare through his Anki setup, including the flashcard template he finds most useful, and try out his custom AI commands in Raycast to understand the meaning of two of my favorite obscure words, “lambent” and “eigengrau.” This is a must-watch for note-taking aficionados and anyone who wants to supercharge their learning with AI. If you found this episode interesting, please like, subscribe, comment, and share! Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps: 00:00:00 - Teaser 00:01:06 - Introduction 00:02:51 - How entrepreneurship and parenthood changed Simon's learning rituals 00:12:59 - How Simon accelerates his learning by using LLMs to find associations 00:18:24 - Simon's Anki setup and the flashcard template he swears by 00:26:02 - The custom AI commands that Simon uses most often 00:37:45 - How Simon uses LLMs for DIY home projects 00:40:48 - Leveraging LLMs as intuitive translators 00:51:38 - Simon's take on how AI is reshaping the future of learning 00:59:10 - How to use Notion AI to write 01:08:53 - The AI tools that Simon uses to write, read, and code Links to resources mentioned in the episode: Simon Eskildsen: https://twitter.com/Sirupsen Simon’s startup, turbopuffer: turberpuffer.com, https://twitter.com/turbopuffer My first interview with Simon in 2020: https://every.to/superorganizers/how-to-build-a-learning-machine-299655 The productivity tool through which Simon uses LLMs, Raycast: https://www.raycast.com/ The other AI tools that Simon is experimenting with: voice-to-text tool superwhisper https://superwhisper.com/, copilot for developers Supermaven https://supermaven.com/, code editor Cursor https://www.cursor.com/

Canonical: https://liquidgold.cc/channel/everyinc/explore/video/how-to-use-ai-to-become-a-learning-machine-ep-34-wi-42c435f4f872 · Channel: [Every](https://liquidgold.cc/channel/everyinc.md)

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