AI started as a tool for creators. Next, it may rebuild the creator economy itself. @RevanLazarus, founder of Jamie, joins Infinite Loops (guest-hosted by @NickTawil) to discuss AI creators, personalized media, brand deals, audience data, and the future of content. TIMESTAMPS 0:00 Intro 3:30 The AI 18-Wheeler 7:24 Retention-Optimized Interviews 12:36 Why Real Audience Connection Matters 17:29 How Sales Teams Prove Audience Fit 22:21 440 Million Versions of MrBeast 29:03 AI Creators and Short-Form Content 34:34 Why People Are Booing AI 36:47 Will AI Create More Jobs? 40:35 AI Is Bigger Than the Internet 46:38 Why AI Companies Need Niches

Honored to have joined @InfiniteL88ps on today’s episode! I’d encourage you to check out my episode and the show as a whole. We talked about AI creators, the future of the creator economy, podcasts, and what we’re building at @usejamieai. Thanks to @nicktawil and @jposhaughnessy for having me on the podcast!

Congratulations to Liyam Chitayat on being selected as a 2026 O'Shaughnessy Fellow!

Fast fashion has made clothing feel disposable — and created a river of clothes we can’t just turn off.

Your old T-shirt might end up in a thrift store. But it might also become a tool in a garage, a hospital, a factory, or a cleaning crew.

You might think donated clothes stay local. But after you drop off a bag at Goodwill or Salvation Army, your clothes may enter a global secondhand economy.

Something like 70% of the world uses secondhand clothing. It’s one of the largest hidden economies on Earth.

What actually happens after you donate a bag of clothes? The answer is much stranger — and much more global — than most people realize. In this new episode of Infinite Loops hosted by OSV’s Nick Tawil (@nicktawil), we sit down for a roundtable on the hidden global economy of secondhand textiles with Brian London, Marisa Adler, and Eric Stubin, all experts in the field. We discuss how the industry works, why fast fashion has made the problem harder, why 70% of the world uses secondhand clothing, what AI can and can’t solve, and why turning an old shirt into a new shirt is still much harder than it sounds. TIMESTAMPS 0:00 Intro 7:15 The Reverse Supply Chain 12:07 Why Secondhand Clothing Matters 18:55 American Vintage Goes Global 20:50 Textile Recycling as a Super-MRF 25:03 Why AI Can’t Sort Clothes Yet 31:22 Policy, Waste, and EPR 40:04 Fast Fashion’s Clothing River 49:14 Why Tracking Clothes Is So Hard 58:09 Can Old Shirts Become New Shirts?

Chelsea Follett details a horrifying law from the past that might make you rethink how good the “good old days" actually were.

Everyone says they’ll buy when the market is down 50%. Jason Buck explains why reality feels very different.

Jason Buck breaks down why markets often run on faith as much as evidence:

For much of history, alcohol was not an occasional indulgence. It was woven into daily life. @chellivia explains that people in the past drank at levels that seem almost impossible by modern standards — and that even children drank from very young ages.

Real diversification means owning something you hate. If everything in your portfolio feels good, you’re probably not diversified. @jasoncbuck on why resilient portfolios often feel uncomfortable.

Jason Buck (@jasoncbuck) was right about the housing crash in '08 — and still lost money betting against it. A brutal lesson in risk, timing, and humility.

For most of human history, child loss was tragically common. Chelsea Follett (@chellivia) shares a personal story about childbirth, modern medicine, and the kind of progress we often take for granted.

The “good old days” were not as good as you think. Chelsea Follett (@chellivia) explains why nostalgia gives us a false view of history — and why understanding the past clearly is essential if we want progress to continue.