How Do You Use ChatGPT? Dan Shipper
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- Technology
ChatGPT has the potential to change everything: how we work, communicate with one another, and dream up imaginative solutions to everyday problems. But it’s not just technology for the future—some of the most creative minds are already incorporating it into their daily lives. Dan Shipper, the cofounder and CEO of business and tech newsletter Every, interviews the most interesting people in the world to learn how they use ChatGPT and other cutting-edge AI tools.
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Is Prompting the Future of Coding? - Ep. 20 with Nick Dobos
Nick Dobos, maker of the #1 programming GPT, on prompt-gramming with AI
Nick Dobos showed me how to ship a website with two words and a single click.
He’s the creator of Grimoire, the #1 custom GPT for programming that has been used for over 1 million chats.
All he gave Grimoire was two words: “coffee website.” Just a minute later, Grimoire built the website and pushed it live to the internet. It was wild.
Grimoire can do a lot more than create websites—it’s a coding assistant with 75+ built-in hotkey commands and sample projects, a guide to learning how to code from scratch, and a tool for programmers to find answers to their questions in real-time.
Before he created Grimoire, Nick was an iOS developer at Twitter. When ChatGPT came out, Nick started experimenting with it—and ended up building Grimoire. Today, he’s at the leading edge of experimenting and building with AI.
I sat down with Nick to explore how people are using Grimoire and what it tells us about the age of programming by prompting. We dive into:
How AI is massively lowering the barriers to code
Why it’s important to solve the “blank canvas problem” that people experience while creating with AI
How AI tools can streamline your creative process
Why Grimoire has an edge over ordinary ChatGPT
The best ways to use Grimoire to code smarter and faster
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 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:
Introduction: 00:00:31
How Nick built Grimoire, the top-ranked GPT for programming: 00:05:20
Ship a website with two words and a single click: 00:10:25
How Grimoire is solving the “blank canvas problem” in AI creation: 00:14:57
The coding curriculum that can take you from zero to full programmer: 00:16:30
Why Grimoire has an edge over ordinary ChatGPT: 00:23:29
Nick’s thoughts on building the system prompt for a GPT: 00:34:10
The utility of AI as a new layer on top of existing apps: 00:40:04
How Nick uses a custom GPT to unpack his emotions: 00:43:11
How to use AI to break down tasks—from programming to daily to-do lists: 00:50:35
Links to resources mentioned in the episode:
Nick Dobos: @NickADobos
Grimoire: https://chat.openai.com/g/g-n7Rs0IK86-grimoire
Nick’s website for his experiments with AI: https://mindgoblinstudios.com/
AI-first code editor Cursor: https://cursor.sh/
Open Interpreter: https://www.openinterpreter.com/
Lisa Feldman Barrett’s book: How Emotions Are Made
Demo Hume, the empathetic AI voice: https://demo.hume.ai/ -
He Built an AI Model That Can Decode Your Emotions - Ep. 19 with Alan Cowen
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 -
Reid Hoffman on How AI is Answering Our Biggest Questions—Ep. 18 with Reid Hoffman
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 -
This Best-selling Author Wrote a Book in 30 Days—With ChatGPT - Ep. 17 with Seth Stephens-Davidowitz
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 -
Take Your Business From Zero to One With AI - Ep. 16 with Nicholas Thorne
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/ -
Prozac and ChatGPT: How Technology is Changing the Way We See Ourselves - Ep. 15 with Peter D. Kramer
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