How Do You Use ChatGPT?

This AI can read emotions better than you can. It was created by Alan Cowen, the cofounder and CEO of Hume, an AI research lab developing models that can read your face and your voice with uncanny accuracy. Before starting Hume, Alan helped set up Google’s research into affective computing and has a Ph.D. in computational psychology from Berkely. Hume’s ultimate goal is to build AI models that can optimize for human well-being, and in this episode I sat down with Alan to understand how that might be possible.  We get into: What an emotion actually is Why traditional psychological theories of emotion are inadequate How Hume is able to model human emotions How Hume's API enables developers to build empathetic voice interfaces Applications of the model in customer service, gaming, and therapy Why Hume is designed to optimize for human well-being instead of engagement The ethical concerns around creating an AI that can interpret human emotions The future of psychology as a science  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 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: Dan tells Hume’s empathetic AI model a secret: 00:00:00 Introduction: 00:01:13 What traditional psychology tells us about emotions: 00:10:17 Alan’s radical approach to studying human emotion: 00:13:46  Methods that Hume’s AI model uses to understand emotion: 00:16:46  How the model accounts for individual differences: 00:21:08 Dan’s pet theory on why it’s been hard to make progress in psychology: 00:27:19 The ways in which Alan thinks Hume can be used: 00:38:12 How Alan is thinking about the API v. consumer product question: 00:41:22 Ethical concerns around developing AI that can interpret human emotion: 00:44:42 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 TV series based on Paul Ekman’s theory of emotion: Lie to Me

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 a founder, investor, podcaster, and author. But before he did any of these things, he studied philosophy—and it changed the way he thinks. Studying philosophy trains you to think deeply about truth, human nature, and the meaning of life. It helps you see the big picture and reason through complex problems—invaluable skills for founders grappling with existential questions about their business. I usually bring guests onto my podcast to discuss the actionable ways in which people have incorporated ChatGPT into their lives. But this episode is different.  I sat down with Reid to tackle a deeper question: How is AI changing what it means to be human?  It was honestly one of the most meaningful shows I’ve recorded yet. We dive into: How philosophy prepares you to be a better founder The importance of interdisciplinary thinking Essentialism v. nominalism in the context of AI How language models are evolving to be more “essentialist” The co-evolution of humans and technology Reid also shares actionable uses of ChatGPT for people who want to think more clearly, like: Input your argument and ask ChatGPT for alternative perspectives Generate custom explanations of complex ideas Leverage ChatGPT as an on-demand research assistant 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 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: Reid Hoffman: @reidhoffman The podcasts that Reid hosts: Possible (possible.fm) and Masters of Scale (https://mastersofscale.com/) Reid’s book: Impromptu The book Reid recommends if you want to be more philosophically inclined: Gödel, Escher, Bach Reid’s article in the Atlantic: "Technology Makes Us More Human" The book about why psychology literature is wrong: The WEIRDest People in the World by Joseph Henrich The book about how culture is driving human evolution: The Secrets of Our Success by Joseph Henrich

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://sethsd.com Seth’s books: Who Makes the NBA? , Everybody Lies and Don’t Trust Your Gut

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 entrepreneurs 00:25:35 - How Audos puts you in “edit mode” instead of “create mode” 00:28:12 - Tools to gather customer feedback, generated by Audos 00:32:58 - How Audos actually works 00:35:07 - Nicholas uses ChatGPT to prototype a new feature 00:42:37 - How to establish checks and balances while using ChatGPT 00:57:20 - AI as a force for pushing entrepreneurship to new heights Links to resources mentioned in the episode: Nicholas Thorne: ⁠@thorneny⁠; ⁠nicholas@prehype.com⁠ Audos: ⁠https://www.audos.com/⁠ Nicholas’s book, Me, My Customer, and AI, is slated to publish next month. Follow him on X for updates: https://mmcai.super.site/

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. 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  To learn more about the topics in this episode: Listening to Prozac by Peter D. Kramer ChatGPT and the Future of the Human Mind by Dan Shipper SSRIs by Scott Alexander Timestamps: Introduction: 00:50 How technology changes the way we see ourselves and the world: 08:24 Antidepressants and their impact on our personality and sense of self: 21:25 How the availability of a technological solution prompts us to see the problem everywhere: 26:35 Technology alters the categories we have divided the world into: 34:06 How I use ChatGPT in my writing process: 40:05 Experimenting with ChatGPT to get relationship advice: 45:41 Prompting ChatGPT to be more specific: 51:16 Clearly indicate the tone you want ChatGPT to take: 55:11 Dr. Peter D. Kramer’s final thoughts on ChatGPT as a therapist: 1:02:27 Links to resources mentioned in the episode: Dr. Peter D. Kramer: https://twitter.com/PeterDKramer  ChatGPT and the Future of the Human  Mind by Dan Shipper: https://every.to/chain-of-thought/chatgpt-and-the-future-of-the-human-mind  Listening to Prozac  by Dr. Kramer: https://www.amazon.com/Listening-Prozac-Landmark-Antidepressants-Remaking/dp/0140266712  Should You Leave? by Dr. Kramer: https://www.amazon.com/Should-You-Leave-Psychiatrist-Autonomy/dp/0140272798  Against Depression by Dr. Kramer: https://www.amazon.com/Against-Depression-Peter-D-Kramer/dp/0143036963  Ordinarily Well by Dr. Kramer: https://www.amazon.com/Ordinarily-Well-Antidepressants-Peter-Kramer/dp/0374536961  Pierre Menard, Author of the Quixote by Jorge Luis Borges: https://raley.english.ucsb.edu/wp-content/Engl10/Pierre-Menard.pdf  The Soul of A New Machine by Tracy Kidder: https://www.amazon.com/Soul-New-Machine-Tracy-Kidder/dp/0316491977  Making Hay by Verlyn Klinkenborg: https://www.amazon.com/Making-Hay-Verlyn-Klinkenborg/dp/0941130185  Oranges by John McPhee: https://www.amazon.com/Oranges-John-McPhee/dp/0374512973 

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

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  Timestamps: Introduction: 01:29 How Dan made the greatest trade of his life: 03:50 Jesse’s strategy to use LLMs to get nuanced answers 05:27 Gearing up to orchestrate the best trade of our lives with Gemini Pro 1.5 09:20 How Jesse gets AI to make great decisions 17:52 Using Gemini Pro 1.5 to find patterns in data 22:38 How AI can provide deeper insights into the stock market 26:48 Leveraging Gemini Pro 1.5’s huge context window to analyze data 34:41  Gemini Pro 1.5 and ChatGPT go head-to-head 46:33  Choosing a stock with just 15 minutes left on the clock 1:10:11 What Jesse thinks are the biggest new opportunities enabled by LLMs 1:24:01 The epilogue Jesse and Dan recorded one week after making the trade 1:28:43 Links to resources mentioned in the episode: Follow Jesse Beyroutey Nathan Labenz’s podcast, The Cognitive Revolution

You can break into Hollywood with a movie you made alone in your room. Dave Clark can show you exactly how in < 60 minutes. He’s a film director with a body of work that includes both feature films and commercials for brands like Google. His latest achievement is a stunning sci-fi short that got Hollywood’s attention, one that Dave made exclusively using AI.  Dave and I make a movie live on this episode, iterating from rough ideas to a real motion picture in < 1 hour. It’s a noir short featuring Nicolas Cage using a haunted roulette ball to resurrect his dead movie career that you don’t want to miss. We dive deep into the world of AI tools for image and video generation, specifically exploring their implications on lowering the barriers to enter the traditional movie industry. This episode is also packed with Dave’s wisdom on how to use these tools to create mind-bending movies. We get into: How AI is enabling everyone with a laptop to be a filmmaker Actionable tips to 10x your use of creative AI tools like Midjourney, Runway, and Elevenlabs How to integrate ChatGPT into the process to craft compelling stories  Strategies to make your AI-generated clips stand out  How to leverage AI tools to refine your videos 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 Timestamps: Introduction 01:33 How AI is enabling everyone with a laptop to be a filmmaker 10:19 The new tool set for making AI films 14:30 How to make your AI-generated clips stand out 16:56 The first prompt in Dave’s custom text-to-image GPT for our movie 25:00 The big advantage text-to-image GPTs have over Midjourney 37:58 The best way to generate Midjourney prompts with a GPT 44:13 Animating the images for our movie in Runway 49:10 First look at our movie! 53:42 How Dave thinks about animating images without an obvious motion element 58:22 Why you need to be persistent while working with generative AI 59:46 Links to resources mentioned in the episode: Follow Dave Clark Borrowing Time, Dave’s viral sci-fi short Forbes article that mentions Borrowing Time Dan’s article on how AI is changing filmmaking Nathan Labenz’s podcast, The Cognitive Revolution

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 Timestamps: 00:00:00 - Teaser 00:01:10 - Introduction 00:02:11 - How to use ChatGPT to save time 00:05:17 - Tips to breakdown research papers with ChatGPT 00:09:38 - How to use ChatGPT to generate explanations tailored to you 00:19:51 - Leveraging ChatGPT to find hidden gems on the internet 00:33:47 - How to create awesome YouTube thumbnails with ChatGPT 00:51:13 - Incorporating ChatGPT into your writing process 00:56:52 - Rapid fire questions from X 01:13:01 - Surfacing useful insights from Anne-Laure’s meditation journal 01:29:04 - The case for journaling in the age of AI 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

Steph Smith is the host of the a16z podcast and a prolific online creator.  Steph sees the internet through a high-definition lens that gives her a deep understanding of what people want.  She can isolate a clear signal from the noise, which she uses to build wonderfully creative, useful things.   In this episode, I dive deep with Steph on how she uses the internet and AI to unearth emerging trends and validate business ideas. I pitch Steph two potential companies on the show, and we use an arsenal of tools and strategies to vet them live.  We get into: How she leverages ChatPT to generate great ideas  Why ChatGPT is ideal for understanding complex concepts  How she uses ChatGPT to organize huge swaths of data Tips on using SEO tools to vet business ideas How to surface useful insights from Reddit  What to look for while reading customer reviews Ways to gather more data on a market just from Google  This is a must-watch for anyone who spends time online and wants to discover the next big idea hiding on the internet. 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  Timestamps: Introduction 01:12 Leveraging ChatGPT to generate great ideas 22:11 Why ChatGPT is ideal for understanding complex concepts 29:29 How to use ChatGPT to organize huge datasets 48:00 Shark tank! Dan pitches Steph business ideas 1:00:41 Steph’s first move while validating a business idea on the internet 1:07:51 What to look for in a customer review 1:11:09 Tips on secondary keyword searches 1:17:45 How to gather market data from a simple Google search 1:26:24 What type of trend charts depict a good market 1:31:55 Using SEO tools to find useful insights from Reddit: 1:34:11 How to gather data about competitors: 1:42:37 Lightning-round questions from X 1:55:51 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/ Dan’s piece on the Allocation Economy: https://every.to/chain-of-thought/the-knowledge-economy-is-over-welcome-to-the-allocation-economy  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/ 

You can build a video game without writing a single line of code. Logan Kilpatrick and I use ChatGPT and GPT Builder to make our own video game in less than 60 minutes—live on this show.  Logan is OpenAI’s first dev relations and advocacy hire and is committed to empowering more people to build using AI. It’s only fitting that we explore the depths of our own creativity by making a video game with GPT Builder—we start with a rough idea and iterate all the way up to a functional video game in < 1 hour.  This episode is full of Logan’s actionable insights on leveraging GPT Builder and ChatGPT to build any custom GPT that you’d like.  We get into: How ChatGPT is enabling the next billion software developers How GPT Builder is expanding the horizon of people who can build things Why he thinks coding is the most high-leverage thing anyone can do in their life How to increase the chances your custom GPT will go viral Tips to use GPT Builder like a pro to create great custom GPTs How to use ChatGPT in conjunction with GPT Builder to get better performance 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  Timestamps 00:00:00 - Teaser 00:00:44 - Introduction 00:09:18 - Why learning to code is the highest-leverage thing you can do 00:13:40 - AI is empowering the next billion coders 00:35:58 - The first prompt in GPT Builder for our video game 00:39:27 - How to increase the chances your custom GPT will go viral 00:43:00 - Prompt engineering tips while using GPT Builder 00:56:13 - How to use ChatGPT in conjunction with GPT Builder 01:06:33 - Ready to play our text-based strategy game! 01:19:44 - How to finetune your custom GPT 01:43:12 - Why you should build custom GPTs Links to resources mentioned in the episode: Our video game, Allocator: https://chat.openai.com/g/g-oooxUbOkj-allocator

Dr. Gena 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 @ChatGPTapp 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:  It writes a personal biography for her, unpacking themes and key questions from each year of her life It helps her plan her year for 2024, aligning her focus and helping set goals It allows her to see her own blindspots and avoid common failure modes It predicts what the year might have in store for her It helps her be more ambitious and reach higher for the things she wants Ultimately, it acts as both a mirror and mentor for her—one that’s always on, responds instantly, and can take on any personality or psychological modality that she needs. 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 Follow him on ⁠⁠X⁠⁠ Timestamps: Introduction 00:18 An external hard drive for our brains 4:14 What is epistemic hygiene? 7:25 Upscaling with ChatGPT 12:25 Dan and Gena’s brainstorming session 20:34 Gena uses ChatGPT to analyze her years-in-review 31:43 Outsourcing to ChatGPT 46:51 Pushing beyond “work-life balance” 53:36 Will ChatGPT replace therapists? 1:09:22 Building a new version of you 1:20:00 Links to resources mentioned in the episode: ⁠⁠In Defense of Radical Self-Betterment⁠⁠ ⁠⁠How to Use ChatGPT for Psychological Growth⁠ ⁠⁠⁠Gena’s newsletter⁠⁠⁠

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 get into: How ChatGPT makes him smarter How he uses it for deep reading and research How it acts as a “universal translator” when he travels How he uses ChatGPT and Perplexity AI together How “charisma” and “a hyped-up executive function” may be the most economically rewarded skills over the next 10 years His thoughts on the allocation economy and the future of work with AI-assistance Whether a ChatGPT clone of Tyler’s personality would answer questions in the same way Tyler does himself 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 Follow him on X Register for his course, Maximize Your Mind With ChatGPT Timestamps: Intro: 00:57 His predictions on AI’s immediate and long-term effects: 05:57 How AI can be leveraged to manage people: 11:31 Using ChatGPT as a universal translator during travel: 17:19 Why he worries less about hallucinations: 21:00 Using specific prompts to do deep research with ChatGPT: 22:00 Why he prefers using Playground: 25:54 ChatGPT goes head-to-head with Perplexity AI: 41:09 Using ChatGPT in university classrooms: 49:58 “Tyler” test: 57:59

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

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!

I spent an hour and a half with Nathan Labenz, who went deep with me on using ChatGPT to: Save days of time on programming projects Boost his creativity Provide access to limitless expertise We covered both the practical and philosophical, including: Using AI in copilot versus delegation mode How ChatGPT relieves the hidden drudgery of creative work Prompting techniques to maximize your thought partnership with ChatGPT How he believes AI will do for cognitive labor what the Industrial Revolution did for manual labor Nathan is an expert and one of the most interesting thinkers in AI today. I’m excited to share his thinking with you—like, comment, subscribe, and share if you liked this episode. 

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 illustrate dueling points of view on the ultimate goal of AI: is it meant to be a simulacrum of humans or a “thought calculator,” a way to enhance human imagination and creativity? Personal prototypes he’s built. Linus regularly experiments with AI on the weekend. He shows us a chatbot he built that works over iMessage, and a new interface for image generators that gives him much better control over their output. Better prompting. We go over simple yet powerful techniques for getting the best answer out of AI models—like starting with general queries first, and repeatedly asking the model to answer the same question.  Using AI for vibe checks. AI is great for reflecting the vibes of books, people, places—and even files on your computer. Linus talks about how he uses ChatGPT to get quick vibe checks that allow him to make decisions.  Book recommendations. We pit ChatGPT head-to-head against Notion AI to see which can best capture our reading taste. And just when ChatGPT seems like it’s coming out on top, Linus makes a convincing case for Notion AI’s special skill set as an organizational tool that already knows how its users work.  What do you use ChatGPT for? Have you found any interesting or surprising use cases? We want to hear from you—and we might even interview you. Reply here to talk to me!Miss an episode? Catch up on my recent conversations with writer Nat Eliason and Gumroad CEO Sahil Lavingia and learn how they use ChatGPT.

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.

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 essays in this episode. Pressure-testing ideas. For Sahil, ChatGPT is like upgrading his peripheral vision. It lets him see around the corners, ask better questions of himself and other people, and avoid poor decisions. He told me, “I think a lot of people sort of delude themselves into thinking they have [good ideas]… I think that one of the most useful things about [ChatGPT] is it focuses your research on what actually matters.” It’s the ultimate tool to help him think better. Also in this episode: how ChatGPT could have helped Sahil save $70 million, how he thinks it will improve the most-talented creatives, and why he thinks—in the age of AI—people have no excuse for not knowing the answer to something anymore. Timestamps: Intro 0:33 There’s no more excuse for not knowing anymore 2:00 He doesn’t spend as much time on bad ideas 2:50 How ChatGPT will make the top 1% of creative output better 6:15 How it turbocharges research 8:20 How he’s using ChatGPT to buy a building 11:00 How he uses ChatGPT to pressure-test ideas 17:43 How he uses DALL-E to help with interior design 20:50 How ChatGPT could have saved him $70 million 26:00 How he uses ChatGPT in his decision-making 29:50 How he uses ChatGPT for writing 38:00