TopPodcast.com
Menu
  • Home
  • Top Charts
  • Top Networks
  • Top Apps
  • Top Independents
  • Top Podfluencers
  • Top Picks
    • Top Business Podcasts
    • Top True Crime Podcasts
    • Top Finance Podcasts
    • Top Comedy Podcasts
    • Top Music Podcasts
    • Top Womens Podcasts
    • Top Kids Podcasts
    • Top Sports Podcasts
    • Top News Podcasts
    • Top Tech Podcasts
    • Top Crypto Podcasts
    • Top Entrepreneurial Podcasts
    • Top Fantasy Sports Podcasts
    • Top Political Podcasts
    • Top Science Podcasts
    • Top Self Help Podcasts
    • Top Sports Betting Podcasts
    • Top Stocks Podcasts
  • Podcast News
  • About Us
  • Podcast Advertising
  • Contact
Not in our directory?
Add Show Here
Podcast Equipment
Center

toppodcastlogoOur TOPPODCAST Picks

  • Comedy
  • Crypto
  • Sports
  • News
  • Politics
  • True Crime
  • Business
  • Finance

Follow Us

toppodcastlogoStay Connected

    View Top 200 Chart
    Back to Rankings Page
    Technology

    The Every Podcast

    The Every Podcast is Every’s flagship show. Co-hosts Dan Shipper and Natalia Quintero talk with founders, researchers, writers, and operators about what they’re building and how they use AI in their own work. The show also takes you behind the scenes at Every. We share how our team is using and exploring AI, including what we’re trying, what’s working, and what we’re learning along the way.

    Formerly known as AI & I.

    Read more at every.to.

    Advertise

    Copyright: © Dan Shipper

    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    The Browser Company Is Building a Brand That Drives Viral Growth - Ep. 32 with Nashilu Mouen-Makoua Aug 28, 2024
    Show notes

    The Browser Company isn’t just building a browser, they’re building a formidable brand—and they’re doing it with AI.

    I sat down with Nashilu Mouen-Makoua, the head of storytelling at The Browser Company, to talk about how they tell stories that capture the cultural zeitgeist and connect authentically with their users—and how she integrates AI into her process for both.

    We get into:

    • Nash’s storytelling philosophy, and why she believes focusing on people is the key to a strong brand
    • How to she uses ChatGPT to do deep research into past cultural moments—and the songs, movies, and products that resonated most deeply in those contexts
    • The brass tacks of how the creative team at The Browser Company comes up with great ideas—including how they structure internal meetings
    • How Nash has integrated ChatGPT to help her polish her words
    • What Nash thinks the gestalt of the current age is—and how The Browser Company is trying to reach “laptop people” in a fresh way

    We also screen share through Nash’s conversation with ChatGPT as she conducted research for an exercise in how to position Arc, and use the LLM to simulate a typical Arc user and interview them live on the show to gather preliminary customer insights.

    This is a must-watch for people who want to use AI to tell compelling stories about what they’re building in tech.

    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:

    1. Introduction: 00:00:47

    2. Nash’s philosophy around storytelling: 00:04:03

    3. The Browser Company’s strategy to come up with creative ideas: 00:09:07

    4. Why Nash thinks building brands people can relate to is important: 00:15:00

    5. How to avoid the tired narrative around AI products: 00:18:47

    6. The ways Nash has integrated ChatGPT into her workflow: 00:22:21

    7. Why understanding social context is important to position your product: 00:33:35

    8. How Nash uses ChatGPT to get a gut check on her writing: 00:41:10

    9. What Nash thinks is the gestalt of the current age: 00:49:50

    10. Nash and Dan use ChatGPT to simulate and interview a typical Arc user: 00:52:01

    Links to resources mentioned in the episode:

    • Nashilu Mouen-Makoua: https://twitter.com/lafillemouen
    • The Browser Company: https://thebrowser.company/, https://twitter.com/browsercompany
    • Arc, the browser that reimagines the way we use the internet: https://arc.net/, @arcinternet
    • Tracy Chapman’s song, Talkin’ About a Revolution: https://www.youtube.com/watch?v=Xv8FBjo1Y8I

    Building an AI Media and Software Empire - Ep. 31 with Brandon Gell Aug 23, 2024
    Show notes

    The journey to a calm, profitable business in the AI age

    We’re building a mini-AI media and software empire at Every.

    Today on AI & I, Brandon Gell joins the show to turn the tables on me and act as podcast host to explore what we’re doing as a company, how we got here, and where we’re going.

    Brandon is Every’s first entrepreneur in residence, and he was the perfect person to host, because he’s one of the key reasons for our recent acceleration.

    Before joining Every, Brandon was the cofounder and CEO of Clyde, a startup that helped brands launch their own insurance and warranty programs, where he raised $50 million and led a team of 100 before selling it to global insurance tech company Cover Genius in early 2023.

    In this episode, he interviews me about how I learned to code in middle school, how I built and sold my first startup coming out of college, and how it all led to Every.

    We also talk about Brandon’s story. He joined Every just four months ago—and it feels like we’ve done the work of years since. We’ve launched two new AI products, an incredible amount of great writing, a new course, and more.

    We get into:

    • My candid thoughts on entrepreneurship in the AI age—including why you should ship fast, and how not to be misled by metrics like TAM
    • How AI startups can find valuable niches—and live demos of our apps Spiral and Sparkle
    • Brandon’s hard-earned lessons from running a insuretech business for seven years
    • The confusing realities of being an exited founder, and how we navigated through those times
    • What brought Brandon to Every—including the email he sent me before joining
    • Every’s master plan and what we hope to build over the next few months and years

    This is a must-watch for anyone interested in building a calm, profitable business empire in the age of 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:

    1. Introduction: 00:00:56

    2. Dan’s childhood dream—to build a Microsoft competitor: 00:03:36

    3. The first app Dan built in middle school: 00:07:07

    4. The story of Dan’s first company that he sold in college: 00:18:52

    5. How Every came to be: 00:33:56

    6. The start of Brandon’s journey as a builder: 00:49:15

    7. Brandon’s first software app—and why you should launch first, and iterate later: 00:57:05

    8. Everything Brandon learned from running a B2B business for seven years: 01:08:49

    9. What brought Brandon to Every—and the email he sent Dan before joining: 01:18:00

    10. Every’s master plan to be a successful creator-run business: 01:29:15

    11. Live demo of Spiral, the app that automates 80 percent of repetitive creative work: 01:38:11

    12. Brandon and Dan’s take on how AI startups can find a valuable niche: 01:44:00

    13. Live demo of Sparkle, the app that organizes your files for you: 01:50:52

    Links to resources mentioned in the episode:

    • Brandon Gell: https://twitter.com/bran_don_gell
    • The piece Dan recently published about Every’s master plan: https://every.to/chain-of-thought/every-s-master-plan
    • Dan’s piece about the unbundling of Excel, and why it serves as an important story in the age of AI: https://every.to/chain-of-thought/the-great-ai-unbundling
    • Tomasz Tunguz, the VC who has also written about Excel: https://tomtunguz.com/
    • Every cofounder Nathan’s word processor, Lex: https://lex.page/
    • Spiral, the app that automates 80 percent of repetitive creative work: https://spiral.computer/
    • Sparkle, the app that automatically organizes your files: https://makeitsparkle.co/

    Building an AI Media and Software Empire - Ep. 31 with Brandon Gell Aug 23, 2024
    Show notes

    We’re building a mini-AI media and software empire at Every.


    Today on AI & I, Brandon Gell joins the show to turn the tables on me and act as podcast host to explore what we’re doing as a company, how we got here, and where we’re going.


    Brandon is Every’s first entrepreneur in residence, and he was the perfect person to host, because he’s one of the key reasons for our recent acceleration.


    Before joining Every, Brandon was the cofounder and CEO of Clyde, a startup that helped brands launch their own insurance and warranty programs, where he raised $50 million and led a team of 100 before selling it to global insurance tech company Cover Genius in early 2023.


    In this episode, he interviews me about how I learned to code in middle school, how I built and sold my first startup coming out of college, and how it all led to Every.


    We also talk about Brandon’s story. He joined Every just four months ago—and it feels like we’ve done the work of years since. We’ve launched two new AI products, an incredible amount of great writing, a new course, and more.


    We get into my candid thoughts on entrepreneurship in the AI age—including why you should ship fast, and how not to be misled by metrics like TAM; how AI startups can find valuable niches—and live demos of our apps Spiral and Sparkle; Brandon’s hard-earned lessons from running a insuretech business for seven years; the confusing realities of being an exited founder, and how we navigated through those times; what brought Brandon to Every—including the email he sent me before joining; and Every’s master plan and what we hope to build over the next few months and years


    This is a must-watch for anyone interested in building a calm, profitable business empire in the age of 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. 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

    Links to resources mentioned in the episode:

    Brandon Gell: https://twitter.com/bran_don_gell

    The piece Dan recently published about Every’s Master Plan: https://every.to/chain-of-thought/every-s-master-plan

    Dan’s piece about the unbundling of Excel, and why it serves as an important story in the age of AI: https://every.to/chain-of-thought/the-great-ai-unbundling

    Tomasz Tunguz, the VC who has also written about Excel: https://tomtunguz.com/

    Every cofounder Nathan’s word processor, Lex: https://lex.page/

    Spiral, the app that automates 80 percent of repetitive creative work: https://spiral.computer/

    Sparkle, the app that automatically organizes your files: https://makeitsparkle.co/


    How to Be a Smarter Reader in the Age of AI - Ep. 30 with Alex Wieckowski Aug 14, 2024
    Show notes

    Alex Wieckowski is on a mission to make you fall in love with reading again—and he thinks AI can help.

    Alex, who writes a newsletter that captures lessons from books he’s read and tips to become a better reader, Alex & Books, is a creator with over 1 million followers across social platforms. He’s also the author of a book of quotes that will inspire you to read more, Learn to Love Reading.

    We spent an hour talking about how Alex uses AI to be a smarter reader, and we tested out a few strategies live on the show, including:

    • prompting ChatGPT to recommend books that will help me lead a creator-run business better,
    • understanding the deeper themes in Hermann Hesse’s novel Siddhartha with large language models, and
    • using AI to create an actionable strategy for Alex to build a course based on the frameworks in Alex Hormozi’s business strategy book $100M Offers.

    Alex clued me into what he’s learned about developing a good reading habit, and his best advice on how to reignite your passion for books. We also discuss Alex’s predictions on how companies like Neuralink, which make use of a brain-computer interface—a technology that allows users to control external devices through brain activity—will change the future of reading and books. Here’s a link to the transcript of this episode.

    This is a must-watch for book lovers, people struggling to finish books, and anyone who wants to take their reading to the next level 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:

    1. Introduction: 00:00:34

    2. Choose physical books over e-readers to boost your memory: 00:01:36

    3. Alex’s take on how long books will stay relevant: 00:02:54

    4. Prompt ChatGPT to find your next read: 00:07:40

    5. Articulating Dan’s taste in books with AI: 00:13:50

    6. Use AI to find books tailored to solve your problems: 00:15:46

    7. How to use AI as a personal study buddy: 00:33:32

    8. Prompt LLMs to turn insights from books into actionable strategies: 00:41:19

    9. What Alex’s rule around buying a new book is: 01:02:10

    10. Alex’s advice for anyone who feels like they don’t have time to read: 01:16:36

    Links to resources mentioned in the episode:

    • Alex Wieckowski: https://twitter.com/AlexAndBooks_

    • Alex’s newsletter: https://alexandbooks.beehiiv.com/

    • The self-improvement book that got Alex into reading: How to Win Friends & Influence People by Dale Carnegie

    • The books that Dan is reading: Children of Memory by Adrian Tchaikovsky, Pragmatism as Anti-Authoritarianism by Richard Rorty

    • The books that Alex is reading: Never Enough: From Barista to Billionaire by Andrew Wilkinson, $100M Offers by Alex Hormozi, Siddhartha by Hermann Hesse, Outlive by Peter Attia


    How to Be a Smarter Reader in the Age of AI - Ep. 30 with Alex Wieckowski Aug 14, 2024
    Show notes

    Alex Wieckowski is on a mission to make you fall in love with reading again—and he thinks AI can help.


    Alex, who writes a newsletter that captures lessons from books he’s read and tips to become a better reader, Alex & Books, is a creator with over 1 million followers across social platforms. He’s also the author of a book of quotes that will inspire you to read more, Learn to Love Reading.


    We spent an hour talking about how Alex uses AI to be a smarter reader, and we tested out a few strategies live on the show, including:

    • prompting ChatGPT to recommend books that will help me lead a creator-run business better,
    • understanding the deeper themes in Hermann Hesse’s novel Siddhartha with large language models, and
    • using AI to create an actionable strategy for Alex to build a course based on the frameworks in Alex Hormozi’s business strategy book $100M Offers.


    Alex clued me into what he’s learned about developing a good reading habit, and his best advice on how to reignite your passion for books. We also discuss Alex’s predictions on how companies like Neuralink, which make use of a brain-computer interface—a technology that allows users to control external devices through brain activity—will change the future of reading and books. Here’s a link to the transcript of this episode.

    This is a must-watch for book lovers, people struggling to finish books, and anyone who wants to take their reading to the next level 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. 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


    Links to resources mentioned in the episode:

    Alex Wieckowski: https://twitter.com/AlexAndBooks_


    Alex’s newsletter: https://alexandbooks.beehiiv.com/

    The self-improvement book that got Alex into reading: How to Win Friends & Influence People by Dale Carnegie


    The books that Dan is reading: Children of Memory by Adrian Tchaikovsky, Pragmatism as Anti-Authoritarianism by Richard Rorty


    The books that Alex is reading: Never Enough: From Barista to Billionaire by Andrew Wilkinson, $100M Offers by Alex Hormozi, Siddhartha by Hermann Hesse, Outlive by Peter Attia


    How Packy McCormick Finds His Next Big Idea - Ep. 29 Aug 07, 2024
    Show notes

    One of the most influential voices in tech explains how AI helps him write and invest.
    This episode is sponsored by Create. If you want to maximize your gains, both with your body and with ChatGPT, try creatinine gummies from Create. Place your order through this link to get a 30 percent discount: https://trycreate.co/products/creatine-monohydrate-gummies-270-count?discount=every24
    Packy McCormick’s job is to find, articulate, and invest behind the next big idea.
    He writes Not Boring, a newsletter that analyzes technology and startups for 200,000 subscribers every week. He also invests in early stage companies through his fund Not Boring Capital and is an advisor at a16z crypto.
    I spent an hour with him to understand how he’s baked AI into the way he thinks, writes, and invests. We get into:

    • How he uses AI to understand dense concepts and refine his arguments
    • His thesis around vertically integrated businesses being the future of tech
    • How Packy uses Claude Projects to edit his newsletter
    • How he makes interactive graphics that represent concepts from his essays
    • The tools Packy uses to research, write, and edit Not Boring
    • When he thinks the next crypto bull run will take place

    We also use Projects to build an AI tool that grades Packy’s essays live on the show.
    This is a must-watch for writers, investors, and anyone trying to understand the cutting edge of technology.
    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
    00:01:24 - Introduction
    00:02:40 - Packy's thesis about the future of technology
    00:07:42 - What Packy quick takes on your crypto portfolio
    00:14:31 - Use LLMs to validate your understanding of complex concepts
    00:18:26 - How Packy used Claude Projects to write an essay he published recently
    00:24:00 - Packy's process to make interactive visual graphics for his essays
    00:31:10 - How to use AI to be thorough in your research
    00:35:04 - How Packy uses Claude to edit his writing
    00:36:44 - The tools Packy uses to create his newsletter
    00:44:12 - Using Claude Projects to make a tool that grades Packy's essays
    Links to resources mentioned in the episode:
    Packy McCormick: https://twitter.com/packyM
    Packy’s newsletter, Not Boring: https://www.notboring.co/
    Packy’s fund, Not Boring Capital: https://www.notboring.co/p/introducing-not-boring-capital
    One of Packy’s first essays, about natively integrated companies: https://www.packym.com/natively-integrated-companies
    Anduril, the company Packy thinks is an example of a Techno-industrial: https://www.anduril.com/
    Packy’s portfolio company that’s integration crypto into its product: https://v2.oncyber.io/
    The interactive tool Packy made for a recent newsletter: https://goventvectorsum.replit.app/ for https://www.notboring.co/p/the-american-millennium
    Packy’s essay about America’s tolerance for risk: https://www.notboring.co/p/riskophilia
    Packy’s essays about Blackbird: https://www.notboring.co/p/blackbird


    How Packy McCormick Finds His Next Big Idea - Ep. 29 Aug 07, 2024
    Show notes

    One of the most influential voices in tech explains how AI helps him write and invest.

    This episode is sponsored by Create. If you want to maximize your gains, both with your body and with ChatGPT, try creatinine gummies from Create. Place your order through this link to get a 30 percent discount: https://trycreate.co/products/creatine-monohydrate-gummies-270-count?discount=every24

    Packy McCormick’s job is to find, articulate, and invest behind the next big idea.

    He writes Not Boring, a newsletter that analyzes technology and startups for 200,000 subscribers every week. He also invests in early stage companies through his fund Not Boring Capital and is an advisor at a16z crypto.

    I spent an hour with him to understand how he’s baked AI into the way he thinks, writes, and invests. We get into:

    - How he uses AI to understand dense concepts and refine his arguments
    - His thesis around vertically integrated businesses being the future of tech
    - How Packy uses Claude Projects to edit his newsletter
    - How he makes interactive graphics that represent concepts from his essays
    - The tools Packy uses to research, write, and edit Not Boring
    - When he thinks the next crypto bull run will take place

    We also use Projects to build an AI tool that grades Packy’s essays live on the show.

    This is a must-watch for writers, investors, and anyone trying to understand the cutting edge of technology.

    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
    00:01:24 - Introduction
    00:02:40 - Packy's thesis about the future of technology
    00:07:42 - What Packy quick takes on your crypto portfolio
    00:14:31 - Use LLMs to validate your understanding of complex concepts
    00:18:26 - How Packy used Claude Projects to write an essay he published recently
    00:24:00 - Packy's process to make interactive visual graphics for his essays
    00:31:10 - How to use AI to be thorough in your research
    00:35:04 - How Packy uses Claude to edit his writing
    00:36:44 - The tools Packy uses to create his newsletter
    00:44:12 - Using Claude Projects to make a tool that grades Packy's essays

    Links to resources mentioned in the episode:
    Packy McCormick: https://twitter.com/packyM
    Packy’s newsletter, Not Boring: https://www.notboring.co/
    Packy’s fund, Not Boring Capital: https://www.notboring.co/p/introducing-not-boring-capital
    One of Packy’s first essays, about natively integrated companies: https://www.packym.com/natively-integrated-companies
    Anduril, the company Packy thinks is an example of a Techno-industrial: https://www.anduril.com/
    Packy’s portfolio company that’s integration crypto into its product: https://v2.oncyber.io/
    The interactive tool Packy made for a recent newsletter: https://goventvectorsum.replit.app/ for https://www.notboring.co/p/the-american-millennium
    Packy’s essay about America’s tolerance for risk: https://www.notboring.co/p/riskophilia
    Packy’s essays about Blackbird: https://www.notboring.co/p/blackbird


    How a Top Podcaster Rides the AI Wave - Ep. 28 with Nathaniel Whittemore Jul 31, 2024
    Show notes

    Keeping up with AI is Nathaniel Whittemore’s full-time job—and I spent an hour with him to understand how he does it.

    Nathaniel is the host of a top-ranked AI podcast on the technology charts, The AI Daily Brief, which breaks down the most important news in AI every day. He is also the founder and CEO of Superintelligent, a platform that teaches you how to use AI for work and fun through interactive video tutorials.

    We talked about how he curates information with X bookmarks, Google News, news aggregator Feedly, and research tool Perplexity; the workflow that helps him record and produce two daily podcasts; and why he thinks optimizing your processes with AI remains one of its most underrated applications.

    Here’s what you’ll learn if you listen to or watch this episode:
    - How to curates AI news using X bookmarks, Google News, Perplexity, and other specialized tools
    - Nathaniel’s insights from producing 300-plus episodes of a top-ranked podcast
    - The granular details of the workflow that helps Nathaniel produce two daily podcasts
    - Actionable advice on how to get the most out of AI right now

    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

    Links to resources mentioned in the episode:
    - Nathaniel Whittemore: https://twitter.com/nlw
    - The podcasts Nathaniel hosts: The AI Daily Brief https://www.youtube.com/@AIDailyBrief , The Breakdown Podcast https://www.youtube.com/@NathanielWhittemoreCrypto/videos
    - Nathaniel’s AI education platform: Superintelligent https://besuper.ai/
    - The tools Nathaniel uses to curate AI news: Google News, Feedly https://feedly.com/ , Perplexity https://www.perplexity.ai/
    - The AI-powered content generation tools Nathaniel likes: Hoppy Copy https://www.hoppycopy.co/ , SEO.ai http://SEO.ai


    How a Top Podcaster Rides the AI Wave - Ep. 28 with Nathaniel Whittemore Jul 31, 2024
    Show notes

    Keeping up with AI is Nathaniel Whittemore’s full-time job—and I spent an hour with him to understand how he does it.

    Nathaniel is the host of a top-ranked AI podcast on the technology charts, The AI Daily Brief, which breaks down the most important news in AI every day. He is also the founder and CEO of Superintelligent, a platform that teaches you how to use AI for work and fun through interactive video tutorials.

    We talked about how he curates information with X bookmarks, Google News, news aggregator Feedly, and research tool Perplexity; the workflow that helps him record and produce two daily podcasts; and why he thinks optimizing your processes with AI remains one of its most underrated applications.

    Here’s what you’ll learn if you listen to or watch this episode:

    • How to curates AI news using X bookmarks, Google News, Perplexity, and other specialized tools
    • Nathaniel’s insights from producing 300-plus episodes of a top-ranked podcast
    • The granular details of the workflow that helps Nathaniel produce two daily podcasts
    • Actionable advice on how to get the most out of AI right now

    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:

    1. Introduction: 00:00:51
    2. How you can get value of AI right now: 00:02:15
    3. Nathaniel goes through his X bookmarks: 00:14:07
    4. Why content should have a point of view: 00:20:25
    5. Tools that Nathaniel uses to curate news about AI: 00:23:47
    6. How to use LLMs to structure your thoughts: 00:31:27
    7. Why the history of Excel is a good way to understand AI’s progress: 00:38:40
    8. The AI features in Descript that Nathaniel uses: 00:45:46
    9. AI-powered tools to help you generate content:00:49:11
    10. Nathaniel’s tips on using Midjourney to generate YouTube thumbnails: 00:58:32

    Links to resources mentioned in the episode:

    • Nathaniel Whittemore: https://twitter.com/⁠nlw
    • The podcasts Nathaniel hosts: The AI Daily Brief, The Breakdown Podcast
    • Nathaniel’s AI education platform: Superintelligent
    • The tools Nathaniel uses to curate AI news: Google News, Feedly, Perplexity
    • The AI-powered content generation tools Nathaniel likes: Hoppy Copy, SEO.ai

    Dwarkesh Patel’s Quest to Learn Everything - Ep. 27 Jul 24, 2024
    Show notes

    This episode is sponsored by Command Bar, an embedded AI copilot designed to improve user experience on your web or mobile site. Find them here: https://www.commandbar.com/copilot/

    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!

    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
    00:01:44 - Introduction
    00:05:37 - How Dwarkesh uses LLMs to remember everything
    00:11:50 - Dwarkesh's taste in books and how he uses AI to learn from them
    00:17:58 - Why it's important to be an early adopter of technology
    00:20:44 - How Dwarkesh uses Claude to understand complex concepts
    00:26:36 - Dwarkesh on how you can compound your intelligence
    00:28:21 - Why Dwarkesh is on a quest to know everything
    00:39:19 - Dan and Dwarkesh prep for an upcoming interview
    01:04:14 - How Dwarkesh uses AI for post-production of his podcast
    01:08:51 - Rapid fire on AI's biggest questions—AGI and P(doom)

    Links to resources mentioned in the episode:
    - Dwarkesh Patel: https://twitter.com/dwarkesh_sp
    - Dwarkesh’s podcast and newsletter: https://www.dwarkeshpatel.com/; https://substack.com/@dwarkesh
    - Dwarkesh’s interview with researcher Andy Matuschak on spaced repetition: https://www.dwarkeshpatel.com/p/andy-matuschak
    - The book about technology and society that both Dan and Dwarkesh are reading: Medieval Technology and Social Change
    - Dan’s interview with Reid Hoffman: https://every.to/chain-of-thought/reid-hoffman-on-how-ai-might-answer-our-biggest-questions
    - The book by Will Durant that inspires Dwarkesh: Fallen Leaves https://www.amazon.com/Fallen-Leaves-Last-Words-Life/dp/1476771553
    - One of the most interesting books Dwarkesh has read: The Great Divide https://www.amazon.com/Great-Divide-Nature-Human-World/dp/0061672467
    - Upcoming guests on Dwarkesh’s podcast: David Reich https://reich.hms.harvard.edu/ and Daniel Yergin https://www.danielyergin.com/


    Previous 1 18 19 20 21 22 26 Next

    Related Podcasts

    Reply All

    1

    Reply All Games & Hobbies
    Inside VR & AR

    2

    Inside VR & AR Gadgets
    Note to Self

    3

    Note to Self News
    BrainStuff

    4

    BrainStuff Natural Sciences
    This Week in Tech (Audio)

    5

    This Week in Tech (Audio) News
    Hands-On Tech (Audio)

    6

    Hands-On Tech (Audio) Technology
    footer-logo

    Contact Us

    Toll Free: 844-670-7747

    Links

    • Home
    • Top Charts
    • Networks
    • Apps
    • Independents Podcasts
    • Podcast Advertising
    • Podcast News
    • Contact Us
    • About Us
    • Analytics & Insights

    Stay Connected

      Privacy, Terms of Use & Our Code of Ethics Protecting Content Creators Copyrights