The Every Podcast

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134 afleveringen, van nieuw naar oud

  1. How to Supercharge Your Writing With AI Tools - Ep. 33 with Evan Armstrong

    4 september 2024 · 1 uur 35 min

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    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:
    Evan Armstrong: @itsurboyevan
    The column Evan writes at Every: Napkin Math
    Evan’s upcoming course about how to write with AI: https://www.writewithai.xyz/
    The piece Dan wrote about using LLMs to articulate his taste: "What I Do When I Can’t Sleep"
    Dan’s article about admitting that he wants to be a writer: "Admitting What Is Obvious"
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  2. The Browser Company Is Building a Brand That Drives Viral Growth - Ep. 32 with Nashilu Mouen-Makoua

    28 augustus 2024 · 1 uur 9 min

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    The Browser Company isn’t just building a browser, they’re building a formidable brand—and they’re doing it with AI.
    The Browser Company has driven viral user growth, a $550 million valuation, and close to 100,000 YouTube subscribers. Its brand centers people, not products. It’s messy, authentic, and refreshing—and it seeps into everything the team does, from the job descriptions on their website to announcing new features through short films and giving keynote addresses in diners.
    I sat down with Nashilu Mouen-Makoua, the head of storytelling and a strategic advisor to the CEO at The Browser Company, to talk about how she’s weaving relatable stories around new technology.
    We get into her philosophy around storytelling, including why she believes centering people is the key to building a memorable brand, The Browser Company’s focus on making technology accessible to a wide audience, and the brass tacks of how Nash’s team structures meetings to generate great ideas. Nash also tells me how she’s integrated LLMs into her workflow, to do deep research, get a gut check on a new article she’s written, and put the finishing touches on her words.
    As Nash explains that the best way to position a product is in response to contemporary social context, we screenshare through her conversations with ChatGPT about the socio-political climate in America preceding the release of a Tracy Chapman song. We also use the LLM to simulate a group of Arc users and interview one of these imaginary personas 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. 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/subscrib…
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  3. Building an AI Media and Software Empire - Ep. 31 with Brandon Gell

    23 augustus 2024 · 1 uur 56 min

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    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 mor…
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  4. How to Be a Smarter Reader in the Age of AI - Ep. 30 with Alex Wieckowski

    14 augustus 2024 · 1 uur 20 min

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    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 …
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  5. How Packy McCormick Finds His Next Big Idea - Ep. 29

    7 augustus 2024 · 1 uur 13 min

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    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 portf…
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  6. How a Top Podcaster Rides the AI Wave - Ep. 28 with Nathaniel Whittemore

    31 juli 2024 · 1 uur 9 min

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    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.perp…
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  7. Dwarkesh Patel’s Quest to Learn Everything - Ep. 27

    24 juli 2024 · 1 uur 13 min

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    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: h…
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  8. The Internet Creator's Guide to the Future - Ep. 26 with Steph Smith

    17 juli 2024 · 1 uur 19 min

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    Steph Smith is the ultimate internet explorer.
    I spent an hour talking to her about the future of creating on the internet in the age of AI. She’s our first-ever repeat guest, and if you watch the episode you’ll see why: It’s a curious, fun, experimental romp through the best of the digital world.
    We try out four underrated AI products, go through a list of Steph’s favorite niche internet creators, and follow her creative process in Midjourney in granular detail.
    We had a wide-ranging discussion about:
    - How AI changes what humans perceive as valuable in art and creativity
    - The type of AI tools that are poised for success
    - How AI narrows the gap between ideas and execution
    If you don’t know her, Steph is the host of the @a16z podcast and the creator behind Internet Pipes, a toolkit to surface useful insights on the internet, and many other cool internet projects.
    This is a must-watch if you make things on the internet and are interested in how AI is changing what it means to be a creator—and how creator businesses work.
    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
    00:00:46 - Introduction
    00:09:08 - How Steph uses Midjourney to find her aesthetic
    00:20:45 - Steph predicts how creating on the internet will evolve with AI
    00:32:51 - Rapid-fire rundown of Steph's favorite niche creators
    00:42:58 - How Steph trains her brain on better data
    00:48:19 - The AI research tool Steph uses for health information
    00:56:25 - The future of AI tools—and one of Steph's top picks
    01:01:20 - Dan and Steph use AI to create a simulation of the internet
    01:05:09 - How LL…
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  9. The AI-powered Era of Scientific Discovery Is Here - Ep. 25 with Dr. Bradley Love

    10 juli 2024 · 59 min

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    Dr. Bradley Love is building a tool that can predict the future.
    Dr. Bradley Love is transforming neuroscience research with AI.
    He's the creator of BrainGPT, a large language model that can predict the results of neuroscience studies—before they’re conducted. And it performs better than human experts.
    We spent 90 minutes exploring how AI is reshaping scientific research and our understanding of the brain.
    Bradley argues that as scientific knowledge grows exponentially, we need new tools to make sense of it all. BrainGPT isn't just summarizing existing research—it's predicting future discoveries.
    We get into:
    • How BrainGPT outperforms neuroscience professors
    • Why clean scientific explanations may be a thing of the past
    • The challenges of interpreting complex biological systems
    • How AI could change the way we approach scientific research
    • The limitations of our intuitive understanding of the brain
    This is a must-watch for anyone interested in the future of science, AI, and how we understand the human mind.
    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. 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
    00:01:00 - Introduction
    00:01:58 - The motivations behind building a LLM that can predict the future
    00:11:14 - How studying the brain can solve the AI revolution’s energy problem
    00:13:32 - Dr. Love and his team have developed a new way to prompt AI
    00:18:27 - Dan’s take on how AI is changing science
    00:22:54 - Why clean scientific explanations are a thing of the past
    00:29:49 - How our understanding of explanations will evolve
    00:37:31 - Why Dr. Love thinks the way we do scientific research is flawed
    00:40:42 - Why humans are drawn to simple explanations
    0…
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  10. She Built an AI Product Manager Bringing in Six Figures—As A Side Hustle - Ep. 24 with Claire Vo

    20 juni 2024 · 1 uur 5 min

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    Claire Vo built ChatPRD—an on-demand chief product officer powered by AI. It’s now used by over 10,000 product managers and is pulling in six figures in revenue.
    The best part?
    Claire has a demanding day job as the CPO at LaunchDarkly. So she built all of ChatPRD herself—over the weekend—with AI.
    I sat down with Claire to talk about how ChatPRD works, how she built it as a side hustle using AI, and all of the ways she’s using AI tools to accelerate her work and life.
    We get into:
    How she used AI to build ChatPRD over Thanksgiving break
    The part of product management that Claire thinks AI will disrupt
    Why the PMs of tomorrow will be “proto-managers” who create prototypes rather than just specs
    How junior PMs can use AI to upskill faster
    The ways in which ChatPRD is baked into her own workflow
    How building ChatPRD is making Claire a better PM
    How Claire uses AI as a tech-forward parent
    This is a must-watch for anyone interested in turning their side hustle into a thriving business or who works in product. 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. 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:
    Claire Vo: ⁠https://x.com/clairevo⁠
    ChatPRD: https://www.chatprd.ai/; ⁠https://x.com/chatprd⁠; ⁠https://www.linkedin.com/company/chatprd/⁠; ⁠https://www.youtube.com/@ChatPRD ⁠
    Some of the AI tools that Claire used to build ChatPRD: ⁠http://Clerk.dev⁠; ⁠https://tiptap.dev/ ⁠
    Greeking Out, the Greek mythology podcast that Claire’s son enjoys: ⁠https://www.nationalgeographic.com/podcasts/greeking-out⁠
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  11. What Do LLMs Tell Us About the Nature of Language—And Ourselves? - Ep. 23 with Robin Sloan

    12 juni 2024 · 54 min

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    An interview with best-selling sci-fi novelist Robin Sloan
    One of my favorite fiction writers, New York Times best-selling author Robin Sloan, just wrote the first novel I’ve seen that’s inspired by LLMs.
    The book is called Moonbound, and Robin originally wanted to write it with language models. He tried doing this in 2016 with a rudimentary model he built himself, and more recently with commercially available LLMs. Both times Robin found himself unsatisfied with the creative output generated by the models. AI couldn’t quite generate the fiction he was looking for—the kind that pushes the boundaries of literature.
    He did, however, find himself fascinated by the inner workings of LLMs
    Robin was particularly interested in how LLMs map language into math—the notion that each letter is represented by a unique series of numbers, allowing the model to understand human language in a computational way. He thinks LLMs are language personified, given its first heady dose of autonomy.
    Robin’s body of work reflects his deep understanding of technology, language, and storytelling. He’s the author of the novels Mr. Penumbra’s 24-hour Bookstore and Sourdough, and has also written for publications like the New York Times, the Atlantic, and MIT Technology Review. Before going full-time on fiction writing, he worked at Twitter and in traditional media institutions.
    In Moonbound, Robin puts LLMs into perspective as part of a broader human story. I sat down with Robin to unpack his fascination with LLMs, their nearly sentient nature, and what they reveal about language and our own selves. It was a wide-ranging discussion about technology, philosophy, ethics, and biology—and I came away more excited than ever about the possibilities that the future holds.
    This is a must-watch for science-fiction enthusiasts, and anyone interested in the deep philosophical questions raised by LLMs and the way they function.
    If you found this episode interesting, please like, subscribe, comment, and shar…
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  12. Is NotebookLM—Google's Research Assistant—the Ultimate Tool For Thought? - Ep.22 with Steven Johnson

    6 juni 2024 · 56 min

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    We use it to find bestselling author Steven Berlin Johnson’s next project.
    I sat down with bestselling author Steven Johnson to see if we could come up with a concept for his next project—using AI. The results were amazing.
    We loaded 200,000 words of NASA transcripts and all of Steven’s reading notes since 1999 into NotebookLM, Google’s personalized research assistant. We wanted to see if it could help us explore the Apollo 1 fire and find relevant and surprising ideas from history that could work to explain it.
    NotebookLM condensed disparate 200,000 words of NASA transcripts into readable formats like FAQs and chronological timelines.
    It sifted through the material to identify the catalyst for the fire.
    The model even went through Steven’s Readwise notes to find a relevant, and unexpected, story from history that we could use to explain the history and origins of the fire
    If you’re a fan of Steven Johnson’s work or you’re interested in AI as a creative tool, you need to watch this episode.
    All of this happens as a live exploration of NotebookLM, and it’s a seriously wild ride.
    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
    Follow him on ⁠X⁠
    Links to resources mentioned in the episode:
    ⁠Follow Steven Johnson
    ⁠⁠NotebookLM⁠
    Steven’s newsletter, ⁠Adjacent Possible⁠
    Steven’s latest book about the rise of the modern detective: ⁠The Infernal Machine⁠
    A few of Steven’s other books: ⁠
    How We Got to Now
    ⁠⁠Where Good Ideas Come From
    ⁠⁠The Ghost Map
    ⁠⁠Emergence
    ⁠⁠The Invention of Air
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  13. Trailer: What is AI & I?

    29 mei 2024 · 2 min

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    Learn how the smartest people in the world are using AI to think, create, and relate. Each week I interview founders, filmmakers, writers, investors, and others about how they use AI tools like ChatGPT, Claude, and Midjourney in their work and in their lives. We screen-share through their historical chats and then experiment with AI live on the show. Join us to discover how AI is changing how we think about our world—and ourselves.
    For more essays, interviews, and experiments at the forefront of AI: https://every.to/chain-of-thought?sort=newest.
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  14. Kevin Roose Has 18 New Best Friends—And They're All AIs - Ep. 21

    15 mei 2024 · 50 min

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    New York Times journalist Kevin Roose has 18 new friends—none of whom are human.
    Kevin formed a collection of “friends”—AI personas with distinct personalities and backstories—using apps like Kindroid and Nomi. Among these were fitness guru Jared, San Francisco-based therapist Peter, and pragmatic trial lawyer Anna. He talked to them every day for a month, sharing personal stories, seeking advice, and even asking for “fit” checks. And this wasn’t Kevin’s first unusual interaction with AI characters. A year ago, he was the infamous target of Bing’s chatbot Sydney’s romantic overtures.
    I don’t think anyone has studied AI companionship as deeply as Kevin, and in this episode, I sat down with him to learn more about his experience.
    Kevin is a tech columnist at the New York Times and cohost of the Hard Fork podcast. He’s also the author of three books, most recently Futureproof: 9 Rules for Humans in the Age of Automation, which is about how humans can be happy in a world designed for machines. During our conversation, we also talk about how Kevin is using AI in his work and life every day.
    This is a must-watch for anyone curious about how AI is changing the way we form relationships.
    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:
    Kevin Roose: @kevinroose
    Hardfork, the podcast that Kevin cohosts: https://www.nytimes.com/column/hard-fork
    Kevin’s latest book about being human in a world designed for machines: https://www.kevinroose.com/futureproof
    Kevin’s piece in the New York Times about his experience making AI friends: https://www.nytimes.com/2024/05/09/technology/meet-my-ai-friends.html?unlocked_article_cod…
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  15. Is Prompting the Future of Coding? - Ep. 20 with Nick Dobos

    1 mei 2024 · 57 min

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    Nick Dobos, maker of the #1 programming GPT, on prompt-gramming with AI
    You can go from having an idea to deploying a live website in minutes.
    All you have to do is prompt Grimoire, the number-one custom GPT for programming, with an image or even a single word about your idea. As you watch the LLM process your request, Grimoire works with a web host on the backend, and just minutes later, your website will be live on the internet.
    Grimoire, which has facilitated over 1 million chats, can help you with a lot more than just making websites: It includes a comprehensive guide to learning how to code, from basic concepts to advanced instruction, and serves as a tool for programmers to resolve their questions in real time.
    The creator of Grimoire is Nick Dobos, who was an iOS developer at Twitter until Musk bought the company and laid off a majority of its staff. With plenty of free time suddenly on his hands, Nick started experimenting with ChatGPT, and ended up building Grimoire. He’s since emerged as one of the foremost experts in the world on building successful custom GPTs and coding with ChatGPT.
    I think Grimoire is a platform to examine the possibilities that “prompt-gramming”—an emerging way of coding by prompting AI—can enable. I sat down with Nick to explore what this means about the future of programming, the best way to use the coding assistant, and the role AI plays in his life beyond coding. As we talk, Nick uses Grimoire to build a website about coffee and generate a QR code from its URL live on the show.
    This is a must-watch for coders, creative people, and anyone curious about how AI is changing the way we interact with computers.
    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 …
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  16. He Built an AI Model That Can Decode Your Emotions - Ep. 19 with Alan Cowen

    24 april 2024 · 56 min

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    The future of AI technology isn’t just faster or more powerful—it’s empathetic. My guest for this episode, Alan Cowen, is leading the charge with the first-ever emotionally intelligent AI.
    Alan is the co-founder and CEO of Hume, an AI research laboratory developing models trained to identify and measure expressions of emotion from voice inflections and facial expressions. The best part? Once it understands these emotions, the AI is designed to interact with users in a way that optimizes for human well-being and leaves them with a positive emotional experience.
    Previously, Alan—who has a Ph.D. in computational psychology—helped set up Google’s research into affective computing, a field focused on developing technologies that can understand and respond to human emotions. He operates at the intersection of AI and psychology, and I sat down with him to understand the inner workings of Hume’s models. Alan walks me through the shortcomings of traditional theories of emotional science and breaks down how Hume is addressing these challenges. While talking about the potential applications of the models, we also discuss the tricky ethical concerns that come with creating an AI that can interpret human emotions.
    This is a must-watch for anyone interested in the science of emotion and the future of human-AI interactions.
    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:
    Alan Cowen: @AlanCowen
    Hume: @hume_AI; hume.ai
    If you want to demo Hume: demo.hume.ai
    The nonprofit associated with Hume: Hume Initiative
    Lisa Feldman Barrett’s book: How Emotions Are Made
    The serial based on Paul Ekman’s theory of emotion: Lie to Me
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  17. Reid Hoffman on How AI is Answering Our Biggest Questions - Ep. 18 with Reid Hoffman

    17 april 2024 · 1 uur 1 min

    Afspelen
    Learn how to use philosophy to run your business more effectively
    Reid Hoffman thinks a masters in philosophy will help you run your business better than an MBA.
    Reid is the cofounder of LinkedIn, a partner at venture capital firm Greylock Partners, the host of the Masters of Scale podcast, and a prolific author. But before he did any of these things, Reid studied philosophy—and by helping him understand how to think, it made him a better entrepreneur.
    A good student of philosophy rigorously engages with questions about truth, human nature, and the meaning of life, and, over time, learns how to think clearly about the big picture. This is a powerful tool for founders faced with existential questions about their product, consumers, and competitors, and enables them to respond with well-reasoned answers and enviable clarity of thought.
    This show is usually about the actionable ways in which people have incorporated ChatGPT into their lives, but in this episode, I sat down with Reid to tackle a deeper question: How is AI changing what it means to be human? How might it change the way we see ourselves and the world around us?
    This episode is a must-watch for anyone curious about some of the bigger questions prompted by the rapid development of AI.
    Thanks again to our sponsor CommandBar, the first AI user assistance platform, for helping make this video possible. ⁠https://www.commandbar.com/copilot/⁠
    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:
    Reid Hoffman: @reidhoffman
    The podcast Reid hosts: Masters of Scale
    Reid’s book: Impromptu
    The book Reid recommends if you want to be more philosophically inclined: …
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  18. This Best-selling Author Wrote a Book in 30 Days—With ChatGPT - Ep. 17 with Seth Stephens-Davidowitz

    10 april 2024 · 1 uur 14 min

    Afspelen
    Seth-Stephens Davidowitz wrote a book in 30 days—and he did it with ChatGPT.
    Seth is a data scientist, economist, and author who challenged himself to write a book—Who Makes the NBA?—in less than 1 month after realizing how fast he could work by using ChatGPT plugin Advanced Data Analysis.
    But along the way he discovered something else: Writing with AI wasn’t just faster, it was also way more fun.
    Seth outsourced the boring parts of data analysis—like cleaning data, merging files, and looking up code snippets—to AI. This left him to focus on what he loves: thinking up questions to ask the dataset.
    In a world where AI can answer any question humans know the answer to, asking the right questions is becoming increasingly important—a skill Seth isn’t just really good at, but also finds joy in.
    In this episode, Seth walks me through how he used AI to analyze data and write a book in 30 days. We get into:
    - How to create and edit complex charts with AI in seconds
    - Using ChatGPT to brainstorm creative ideas
    - How AI is redefining who can be an artist
    - Why ChatGPT is an excellent tool to get a quick ballpark estimate
    - Developing a sixth sense about when ChatGPT is wrong
    - The power of AI instantly answering hard questions that would normally take months of research
    We also use ChatGPT to analyze a dataset of Olympic athletes live on the show—in pursuit of finding out which sport I’m best suited for!
    This episode is a must-watch for anyone curious about data science and how AI is transforming the future of creativity (or who is just a fan of the NBA).
    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 ⁠
    Follow him on ⁠X⁠
    Links to resources mentioned in the episode:
    Seth Stephens-Davidowitz: ⁠https://twitter.com/SethS_D⁠ ⁠http://s…
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  19. Take Your Business From Zero to One With AI - Ep. 16 with Nicholas Thorne

    27 maart 2024 · 1 uur 1 min

    Afspelen
    Nicholas Thorne is building Squarespace for the AI age. It’s called Audos, and it’s an AI chatbot to help any entrepreneur go from idea to:
    - Pitch deck
    - Working website
    - Custom GPT
    - User interviews with real customers
    All in just a few minutes. And he did it using ChatGPTapp. It’s AI all the way down—and it’s one of the most impressive AI businesses I’ve ever seen.
    Nicholas is a general partner at Prehype, an incubator that launched Barkbox and Ro Health. It’s also where I started Every, so it was great to come full circle.
    Nicholas’s job at Prehype is to launch new companies. He’s taken everything he’s learned running an incubator and used it to help entrepreneurs start businesses at scale—with AI.
    As we talk, Nicholas walks me through the interactions of Audos’s chatbot with a user live on the show.
    Nicholas tells me that he used ChatGPT to prototype most of Audos’s features—despite being non-technical himself. He shares exactly how he did this by showing me how he’s using AI to create a new feature for the product.
    We get into:
    - Ways AI can make you a more effective founder
    - How to use ChatGPT to build your prototype
    - Strategies to refine problem statements with AI
    - Using GPTs to gather and synthesize customer feedback
    This episode is a must-watch for anyone who has ever toyed with the idea of starting a business—and wants to do it 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: https://every.ck.page/ultimate-guide-to-prompting-chatgpt
    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
    00:00:48 - Introduction
    00:12:10 - How AI can make you a more effective founder
    00:17:03 - Live demo of Audos!
    00:24:07 - Why Nicholas built an AI tool to enable…
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  20. Prozac and ChatGPT: How Technology is Changing the Way We See Ourselves - Ep. 15 with Peter D. Kramer

    20 maart 2024 · 1 uur 5 min

    Afspelen
    Antidepressants changed my life.
    I have OCD and antidepressants did what nearly a decade of therapy, meditation, and supplements couldn’t: they allowed me to live my life without being in a 24/7 spiral. (Bonus: they actually made therapy and meditation far more helpful once they started to work.)
    I think antidepressants are seriously misunderstood. Yes, they blunt negative emotions. But they also operate on personality and sense of self: they can make you bolder, less sensitive to failure, and less risk-averse.
    In short: they are a technology that changes how we see ourselves and the world.
    That’s why I invited Dr. Peter D. Kramer on my show. Dr. Kramer is a psychiatrist and the author of eight books, including Listening to Prozac, which is an international bestseller. He has practiced psychiatry and taught psychotherapy at Brown University for nearly four decades.
    Listening To Prozac is one of my favorite books, and it documents Dr. Kramer’s experiences as a psychiatrist seeing how antidepressants like Prozac changed his patients’ sense of self and personality.
    Now, you might be wondering why have him on a show about ChatGPT? Well, technology can change who we are even if it comes as a software product rather than a pill. It’s undoubtedly true that as generations of humans learn to live with AI, it will change what it means to be human—and how we see ourselves and the world. I think that can be a good thing, but it could also be scary.
    I wanted to talk to Dr. Kramer about his book, and see if we could apply some of his insights in Prozac to ChatGPT. It was an incredible conversation, and I was honored to talk to him.
    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://twitte…
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  21. How to Run a Profitable One-person Internet Business Using AI - Ep. 14 with Ben Tossell

    13 maart 2024 · 1 uur 16 min

    Afspelen
    You can build and run a one-person internet business that earns half a million in annual revenue—with AI.
    Ben Tossell showed me exactly how in this episode. Ben is the founder of Ben’s Bites—one of the best daily AI newsletters out there, which I love reading every day—and an investor in a number of promising early-stage AI startups. Ben is also an experienced founder whose no-code platform Makerpad was acquired by Zapier.
    I think Ben is really good at starting profitable internet businesses that are sneakily big, but don’t require too many resources. Over the last couple of years, he’s assembled a war chest of AI tools including ChatGPT, Claude, Gemini, Lex, and Supernormal to help him do this. In this episode, we get into the weeds of how Ben has integrated AI into his workflow to find new business opportunities, run them well, and evaluate their performance.
    We get into:
    - How to use ChatGPT as a business strategist
    - Building your MVP with ChatGPT
    - Turning interview transcripts into compelling articles
    - Analyzing business data using AI tools
    - How to generate persuasive landing page copy with ChatGPT
    - Offload time-consuming tasks to AI
    This episode is a must-watch for anyone who is curious about using AI to bootstrap a profitable internet business.
    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:
    - Ben Tossell: https://twitter.com/bentossell
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  22. Can Gemini 1.5 Pro Beat Our Best Stock Trade? - Ep. 13 with Jesse Beyroutey

    1 maart 2024 · 1 uur 37 min

    Afspelen
    I made the greatest trade of my life with Jesse Beyroutey in 2019. We bought Nvidia shares when they were trading at $33. They’re worth nearly $800 today.
    I sat down with Jesse to top that trade in 90 minutes using Gemini Pro 1.5’s incredible 1 million token context window—and make a $1,000 trade live on the show.
    Jesse is a managing partner at IA Ventures, a $600 million venture fund with seed investments in companies like Wise and Digital Ocean. He’s also a very close friend and one of the smartest people I know.
    We unpack our investment thesis for our Nvidia trade and leverage the power of Gemini Pro 1.5 and ChatGPT to orchestrate what we hope will be the best trade of our lives. We put our money where our mouth is and make a $1,000 trade while the cameras are still rolling.
    There’s a plot twist at the end of this episode—so stick around to see the epilogue Jesse and I recorded just days after we made our investment.
    We get into:
    How Jesse leverages LLMs to get nuanced answers to his questions
    Ways to find patterns in large swaths of data using Gemini Pro 1.5
    Gemini Pro 1.5 and ChatGPT going head-to-head
    How Gemini Pro 1.5 can be used to understand the stock market
    Why it’s important to consistently refine your search queries
    What Jesse thinks are the new big opportunities enabled by LLMs
    This is not investment advice, but it’s a must-watch for anyone who wants to leverage the power of AI to make smarter financial decisions.
    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:
    ⁠Follow Jesse Beyroutey
    Nathan Labenz’s podcast, The Cognitive Revolution
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  23. How a Hollywood Director Uses AI to Make Movies - Ep. 12 with Dave Clark

    28 februari 2024 · 1 uur 5 min

    Afspelen
    You can break into Hollywood with a movie you made alone in your room without using a single camera. Dave Clark showed me how live on this show.
    Dave Clark is a film director and commercial director with experience working with brands like HP and Intel who is now experimenting with cutting-edge AI technology. He recently produced a popular sci-fi short Borrowing Time, which has over 110,000 views on X and was mentioned in Forbes. Dave made this film only using AI tools like Midjourney, text-to-video model Runway, and generative voice AI platform ElevenLabs.
    Dave told me that he couldn’t have made Borrowing Time without AI—it’s an expensive project that traditional Hollywood studios would never bankroll. But after Dave’s short went viral, major production houses approached him to make it a full-length movie. I think this is an excellent example of how AI is changing the art of filmmaking, and I came out of this interview convinced that we are on the brink of a new creative age.
    We dive deep into the world of AI tools for image and video generation, discussing how aspiring filmmakers can use them to validate their ideas, and potentially even secure funding if they get traction. Dave walks me through how he has integrated AI into his movie-making process, and as we talk, we make a short film featuring Nicolas Cage using a haunted roulette ball to resurrect his dead movie career, live on the show.
    This episode is a must-watch for creative people interested in bringing their stories to life, movie buffs, and anyone curious about the future of creativity.
    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:
    Follow D…
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  24. She’s Running a Business, Writing a Book, and Getting a PhD—with ChatGPT - Ep. 11 with Anne-Laure Le Cunff

    21 februari 2024 · 1 uur 29 min

    Afspelen
    Are you a curious person with a lot of ideas and little time?
    Anne-Laure Le Cunff can show you how to do it all. Anne-Laure is the founder of one of my favorite internet communities for curious minds, Ness Labs, a prolific writer, and a neuroscience PhD candidate. She’s also writing a book, Liminal Minds, that’ll be out later this year.
    And she said that the reason she can run a business, write a book, and do a PhD all at the same time is ChatGPT.
    Anne-Laure is one of the busiest people I know, and in this episode we dive into how she uses ChatGPT to get everything done.
    We get into:
    - How to use ChatGPT to be more efficient
    - Tips to break down research papers into digestible insights
    - How she leverages ChatGPT to revamp her YouTube thumbnails
    - Tips on using ChatGPT to write prolific articles
    - Doing deep research on the internet using ChatGPT
    - How to use ChatGPT to generate advice tailored for your needs
    - How to surface useful insights from your journal using ChatGPT
    This is a must-watch for curious, creative people who want to get more done.
    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
    Follow him on ⁠X⁠
    Links to resources mentioned in the episode:
    ⁠Anne-Laure Le Cunff⁠
    ⁠Anne-Laure following ChatGPT’s recipe to make an obscure Algerian cheese ⁠
    ⁠Anne-Laure’s meditation journal⁠
    ⁠Nathan Labenz’s podcast, The Cognitive Revolution
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  25. How to Find Your Next Big Idea Hiding on the Internet - Ep. 10 with Steph Smith

    14 februari 2024 · 1 uur 59 min

    Afspelen
    The next big idea is hiding in plain sight. It’s right here, scattered across the internet in incoherent fragments. Steph Smith, my guest for this episode, knows how to connect the dots.
    Steph Smith is a prolific online creator, host of the a16Z podcast, author of a book about building a successful blog called Doing Content Right, and creator of Internet Pipes, a toolkit to surface useful insights on the internet.
    I sat down with Steph to explore the internet through her eyes. I discover the method behind her uncanny knack of spotting emerging trends. Steph also reveals the internet’s most underrated advantage: validating business ideas cheaply and quickly. As we talk, I pitch Steph two businesses, and we use an arsenal of tools and strategies to vet them live on the show.
    This episode is a must-watch for anyone who spends time online and wants to create useful, fun things. Here’s a taste:
    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:
    Steph Smith: https://twitter.com/stephsmithio
    Internet Pipes: https://internetpipes.com/
    Doing Content Right: https://doingcontentright.com/#features
    Steph's database of untranslatable words: https://eunoia.world/
    Neal Agarwal: http://neal.fun
    Keywords Everywhere: https://keywordseverywhere.com/
    Reddit tools: https://anvaka.github.io/sayit/?query=, https://gummysearch.com/
    SEO tools for market analysis: https://www.similarweb.com/, https://www.junglescout.com/, https://answerthepublic.com/
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  26. How to Make a Video Game With ChatGPT in 60 Minutes - Ep. 9 with Logan Kilpatrick

    7 februari 2024 · 1 uur 45 min

    Afspelen
    You can make a video game without writing a single line of code. Logan Kilpatrick uses ChatGPT to show me how.
    Logan is OpenAI’s first developer relations and advocacy hire. A big part of Logan’s job is supporting the community of builders using ChatGPT, DALL-E, and the OpenAI API. He’s also deeply invested in growing this community, convinced that AI tools can enable more people to build.
    To prove this point, Logan and I build a video game live on the show. We use GPT Builder and ChatGPT to create Allocator, a text-based strategy game where players step into the shoes of a historical U.S. president and are tasked with managing the government’s budget. We have an awesome time iterating it all the way from rough idea to functional video game in less than one hour—without any coding.
    This is a must-watch for anyone who wants to bring their creative ideas to life.
    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:
    Our video game, Allocator: https://chat.openai.com/g/g-oooxUbOkj-allocator
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  27. ChatGPT for Radical Self-betterment - Ep. 8 with Gena Gorlin

    31 januari 2024 · 1 uur 23 min

    Afspelen
    Dr. Gena Gorlin (https://twitter.com/Gena_I_Gorlin) is a clinical psychologist at UT Austin whose goal is to raise the ceiling on human potential.
    I sat down with her to discuss how ChatGPT has become a key tool in her quest for radical self-betterment.
    In this episode, she feeds ChatGPT a list of her old journal entries, and it conducts the most thorough and insightful annual review and goal-setting session you’ve ever seen. We watch as ChatGPT writes a year-by-year personal biography of her life, helps her set goals for 2024, and points out blindspots she might’ve missed.
    It’s a mind-bending example of how ChatGPT can unlock your potential.
    If you found this episode interesting, please like, subscribe, comment, and share!
    Want more?
    Dan is running a course with Dr. Gorlin called Maximize Your Mind With ChatGPT. It’s a four-week cohort-based course marrying the cutting edge of AI with the best of what psychology knows about how to reach your potential.
    Learn more: https://maxyourmind.xyz
    Want even more?
    Sign up for Dan’s newsletter 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:
    Gena’s newsletter: https://builders.genagorlin.com/
    In Defense of Radical Self-Betterment: https://every.to/p/in-defense-of-radical-self-betterment
    How to Use ChatGPT for Psychological Growth: https://every.to/p/how-to-use-chatgpt-for-psychological-growth
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  28. Economist Tyler Cowen on How ChatGPT Is Changing Your Job - Ep. 7 with Tyler Cowen

    24 januari 2024 · 1 uur 7 min

    Afspelen
    Tyler Cowen is an economist who has been thinking about the impact of technology on life, work, and the economy for the past decade. He is a prolific writer behind the leading economic blog Marginal Revolution, a professor of economics at George Mason University, and the author of 17 books.
    In this episode, I dive deep with him on how ChatGPT will change the economy, and how he uses it in his own life.
    We explore Tyler’s predictions about how AI will impact the economy, distilling decades of contemplation into insights. We watch him interact with ChatGPT and learn how he uses it as a universal translator when he travels, a reading companion, and a research tool. We also see him use Perplexity, and walk through how he fits the two tools together in his workflow.
    This is a must-watch for anyone who wants insights on adapting to the future of work. If you found this episode interesting, please like, subscribe, comment, and share. And sign up for Every to get our ultimate guide to prompting ChatGPT.
    To hear more from Dan Shipper:
    Subscribe to Every: https://every.to/subscribe
    Follow him on X: https://twitter.com/danshipper
    Register for his course, Maximize Your Mind With ChatGPT: https://www.maxyourmind.xyz/
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  29. How David Perell Uses ChatGPT to Write for Millions - Ep. 6 with David Perell

    18 januari 2024 · 1 uur 27 min

    Afspelen
    David Perell is one of the best known internet writers of his generation.
    He’s amassed almost a half million followers on X, hosts the popular podcast How I Write, and founded Write of Passage, which has taught thousands of students how to be digital writers.
    We go deep on using ChatGPT to:
    Doing deep reading of old books
    Finding anecdotes that spread
    Better understanding your taste
    Finding your heroes
    Understanding your blind spots as a leader
    Unpacking the strategy of your business
    If you found this episode interesting, please like, subscribe, comment, and share.
    Timestamps:
    Intro 00:53
    Finding and understanding his heroes 13:42
    Understanding his personality and leadership style 19:14
    Who does David work well with? 25:53
    Workshopping the New York Times’s business strategy 36:52
    Why ChatGPT is incredible at diversity, accessibility, and speed 52:54
    Bringing old books like Moby Dick to life with DALL-E 58:50
    Using ChatGPT for deep textual analysis 1:06:29
    ChatGPT for writing anecdotes that spread 1:21:04
    Conversations with ChatGPT as food and drink for the soul 1:25:55
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  30. You Can Build an App in 60 Minutes with ChatGPT - Ep. 5 with Geoffrey Litt

    10 januari 2024 · 1 uur 5 min

    Afspelen
    This show might be a first in the history of podcasts:
    Researcher ⁠Geoffrey Litt⁠ and I built an app together using ChatGPTapp and Replit in under 60 minutes—while we talked.
    We wanted to show how AI and ChatGPT change who gets to build software and how they usher in a world where everyone can ⁠modify⁠ and ⁠remix⁠ the apps they use every day.
    So we did it live, and ChatGPT delivered a working prototype at the end of the episode.
    It was a tiny glimpse of the future—and it pushes the boundaries of what a show can be. It honestly left me speechless and it'll change the way you think about software. If it does, make sure to subscribe, share, and leave us a review!
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  31. How to Use ChatGPT as a Copilot for Learning - Ep. 4 with Nathan Labenz

    20 december 2023 · 1 uur 13 min

    Afspelen
    Sometimes ChatGPT is a copilot, sitting beside you, taking directions, and guiding you as you fly through your work. At other times, it’s a subordinate. It’s not just an assistant or a companion, but a trusted deputy, someone—or something—that’ll heed instructions and complete tasks.
    This is how our guest, Nathan Labenz, thinks about ChatGPT. In this episode, Labenz—the founder of the AI video company Waymark and the host of his own podcast called The Cognitive Revolution—uses ChatGPT to write complex code in languages he’s unfamiliar with, saving days worth of time in the process.
    Just like machines replaced muscles during the Industrial Revolution, AI will one day replace brainpower. Maybe with ChatGPT, we can offload some of the drudgery of everyday work and focus on work that’s actually important.
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  32. How an AI Researcher Uses ChatGPT and Notion AI - Ep. 3 with Linus Lee

    13 december 2023 · 1 uur 14 min

    Afspelen
    TL;DR: Today we’re releasing a new episode of our podcast How Do You Use ChatGPT? I go in-depth with Notion research engineer Linus Lee on how he uses ChatGPT and Notion AI to maximize creative control. Watch on X, YouTube, or Spotify.
    You might think that being an AI researcher would mostly involve solving complicated programming problems and thinking through mathematical equations. Instead, a big part of the job is rewriting parts of your prompts in ALL CAPS in order to make sure the AI model you’re working with follows your directions. “All caps works!” Linus Lee told me in this interview. “If you look at OpenAI's system prompts for a lot of their tools, all caps works.”
    Linus is a research engineer at Notion who works on its AI team, prototyping new experiences, like a Q&A chatbot. He is a deep thinker who is obsessed with building AI that enables human creativity and agency. He came on the show to talk about how AI might augment our thinking, how he thinks about prompting to get the best results, and how he uses ChatGPT and Notion AI in his work and life.
    I first interviewed him a year ago, when he showed off dozens of AI prototypes he’d been building to try to understand the future of this technology. Our latest interview is a mixture of theory and practice. Linus talks about how the tools we use shape the work we can create and what the future of AI-driven interfaces might be. We watch him demo personal tools he’s built, like an AI chatbot that he communicates with over iMessage. And we peek over his shoulder to see his chats with ChatGPT to understand how he talks to it to get the best results.
    Here’s a taste of what we talk about. Read on for more analysis from me at the bottom.
    Using AI to maximize agency. Linus talks a lot about the ways our tools shape our agency as thinkers and creatives—and how AI might be used to enhance rather than reduce our agency.
    AI as a “thought calculator.” Linus borrows a phrase from the popular tech blogger Simon Willison to…
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  33. Using ChatGPT for Writing and Recommending Books - Ep. 2 with Nat Eliason

    1 december 2023 · 41 min

    Afspelen
    How Nat Eliason uses ChatGPT to write books:
    Nat Eliason is a shape-shifter.
    He’s a writer with a book deal from Random House, a crypto trader, a Roam Research aficionado, a marketer, a book podcaster, a parent, and a seed oil iconoclast. He's amassed thousands of newsletter subscribers, 70,000 followers on X, and 110,000 on TikTok.
    His secret weapon for all of his exploring? ChatGPT.
    Nat took me through why he uses it every day for his work and his life. In this interview we talk about using ChatGPT for:
    Identifying his taste in writing. He uses ChatGPT to help him identify the kind of writing he likes, so that he can produce more of it.
    Finding new books to read for inspiration. ChatGPT helps him find writers and books that he never would've encountered through Googling or in his daily life.
    Generating story outlines and character descriptions. He uses ChatGPT to help him outline the sci-fi novel he's writing and learn how to create vivid descriptions.
    Settling bar bets. Air in the atmosphere contains carbon—which can technically be converted into diamond. So, how much air would be required to make a diamond? It's the kind of thing you might argue about over drinks with a friend—and exactly the kind of question ChatGPT is built to answer.
    Reading the news. Nat doesn't read the news. But every once in a while he wants to know what's going on about a particular topic. ChatGPT is the perfect news summarizer.
    Generating recipes. Nat is a frequent chef. ChatGPT is his recipe companion: surfacing ideas, and easily modifying them based on what he has at hand and his family's dietary preferences.
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  34. Buying a Building with ChatGPT - Ep. 1 with Sahil Lavingia

    15 november 2023 · 47 min

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    About the show
    I believe that ChatGPT is the most important creative tool of the decade. I think it can help us write better, create art, efficiently ship products, build great businesses, make smart decisions, and even learn something about ourselves,.
    But it’s still so early. Most of us don’t even really know how to use ChatGPT. We have a feeling that it’s powerful, interesting, and important—but we haven’t figured out how to incorporate it into our lives.
    There are a few people, though, who are living in the future. They have the time and curiousity to use ChatGPT in their everyday lives, taking the opportunity to make the technology work for them. In this way, they light the way for everyone else.
    That’s what this interview series, How I Use ChatGPT, is all about. We go in-depth with the most interesting people in the world to learn concrete ways they are already using ChatGPT. It won’t be theoretical—or limited to audio: we’ll screen-share and see their actual prompts and responses, so you can see how ChatGPT helps them perform better at work and improve their lives—one conversation at a time.
    About this episode
    My first guest is Sahil Lavingia, the co-founder and CEO of Gumroad, one of the largest platforms for creators to sell their work online. He shared how he uses ChatGPT for:
    Buying a building. He wants to buy a New York City hangout for Gumroad employees and customers, so he asked ChatGPT to research the history of real estate in NYC, suggest which neighborhoods might be best to target, generate questions for brokers, and even detail what the design of a particular property might look like.
    Writing tweets. Sahil is a prolific Twitter/X user. He often uses ChatGPT to help him flesh out an idea. He says, “I [start] with a tweet, which is like a thesis, and then I just say, ‘Add three to four paragraphs to make the point compelling—also suggest more examples.’” We explore his precise process for using ChatGPT to help him brainstorm short tweets and longer …
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