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:

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.

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Timestamps:

Links to resources mentioned in the episode:

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:

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!
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Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:00:00 - Teaser
00:01:24 - Introduction
00:02:40 - Packy's thesis about the future of technology
00:07:42 - What Packy quick takes on your crypto portfolio
00:14:31 - Use LLMs to validate your understanding of complex concepts
00:18:26 - How Packy used Claude Projects to write an essay he published recently
00:24:00 - Packy's process to make interactive visual graphics for his essays
00:31:10 - How to use AI to be thorough in your research
00:35:04 - How Packy uses Claude to edit his writing
00:36:44 - The tools Packy uses to create his newsletter
00:44:12 - Using Claude Projects to make a tool that grades Packy's essays
Links to resources mentioned in the episode:
Packy McCormick: https://twitter.com/packyM
Packy’s newsletter, Not Boring: https://www.notboring.co/
Packy’s fund, Not Boring Capital: https://www.notboring.co/p/introducing-not-boring-capital
One of Packy’s first essays, about natively integrated companies: https://www.packym.com/natively-integrated-companies
Anduril, the company Packy thinks is an example of a Techno-industrial: https://www.anduril.com/
Packy’s portfolio company that’s integration crypto into its product: https://v2.oncyber.io/
The interactive tool Packy made for a recent newsletter: https://goventvectorsum.replit.app/ for https://www.notboring.co/p/the-american-millennium
Packy’s essay about America’s tolerance for risk: https://www.notboring.co/p/riskophilia
Packy’s essays about Blackbird: https://www.notboring.co/p/blackbird

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:

If you found this episode interesting, please like, subscribe, comment, and share! 

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Timestamps:

Links to resources mentioned in the episode:

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/

Steph Smith is the ultimate internet explorer.

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.

Timestamps:

Dr. Bradley Love is building a tool that can predict the future.

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.

This is a must-watch for anyone interested in turning their side hustle into a thriving business or who works in product.

Links to resources mentioned in the episode:

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 share! 
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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.

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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.

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! 

Links to resources mentioned in the episode:

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