How Do You Use ChatGPT‪?‬ Dan Shipper

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! 

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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