"Human in the loop" is supposed to be the safe, responsible way to use AI. Turns out it might be the worst.

Theoretical neuroscientist and seven-time founder Dr. Vivienne Ming joins host Greg Shove on Supercompanies to break down what happens to human intelligence when AI can answer almost anything.

In an experiment with UC Berkeley students using AI to forecast real-world events, Vivienne uncovered three distinct ways people work with AI: automators who just accept whatever the AI tells them, validators stuck in a "human in the loop" pattern that performs worse than either humans or AI alone, and a rare group she calls cyborgs - people who blend with AI so effectively you can't tell who made the decision, and who came close to matching expert-level forecasters.

The traits that predicted who became a "cyborg" - curiosity, intellectual humility, and perspective-taking - raise bigger questions about how we raise kids and design schools in the AI era, which Vivienne explores in her new book, "Robot-Proof."

Supercompanies is back with all new episodes!

Watch the Video:

https://www.youtube.com/@SupercompaniesPod

Before Fanvue hit a $200 million run rate, Joel Morris and his co-founders were five months from running out of cash.

Fanvue co-CEO Joel Morris joins Supercompanies host Greg Shove to explain how a teenage YouTuber who uploaded for 600 days before getting any traction built a creator monetization platform now running at a $200 million revenue run rate with 130 employees.

Morris shares how Fanvue came within five months of running out of cash, the mindset that got him and his co-founders through it, and how one investor meeting and a later $22 million raise turned things around. He also talks about how Fanvue runs internally on Claude, why AI fluency is now a hiring pillar, and the company's push toward $1 billion in revenue.

Mentioned in this episode:

Ryan Holiday, Daily Stoic: https://dailystoic.com

Connect with Joel Morris:

LinkedIn: https://uk.linkedin.com/in/joel-morris-jmx

X: https://x.com/JoelXMorris

YouTube: https://www.youtube.com/channel/UCYz27J7fd8lK_FKKTal_I-g

Fanvue: https://fanvue.com

Subscribe to Supercompanies on YouTube: https://www.youtube.com/@SupercompaniesPod

Sign up for the Supercompanies newsletter: https://www.supercompanies.ai/

Why does AI adoption hit a wall inside large organizations? Brice Challamel joins to unpack what he's learned while leading people-first transformation at orgs like Moderna, and now at OpenAI as Head of AI Strategy and Adoption.

Brice shares his five components for supporting transformation, and what playfulness has to do with making AI stick. Plus: why Brice thinks the AI layoff narrative is wrong, and his case for a Nintendo as a super organization.

Watch this episode on YouTube here: https://youtu.be/fA80GvnAxCk

Links:

Brice's LinkedIn

Power of Why newsletter

AI is in the workplace. As companies adopt new workflows, new conversations are happening and new concerns are arising. How do AI leaders meet the moment and work with their teams to create clarity?

Taylor Malmsheimer, Section co-founder and COO, joins to share what she's learned speaking with hundreds of execs about their AI adoption efforts. Taylor walks Greg through the main types of questions that arise, and how leaders can empower their managers and employees to navigate these transformational moments.

10 Tough Questions Deck

Supercompanies.ai

How does a legacy tech veteran pivot to AI? Sid Sheth joins to share how Claude Code changed everything at d-Matrix almost overnight, what happens when your engineers are generating more code than they can validate, and why Sid appointed his co-founder as company AI czar. Plus: why Sid tells every new grad to ditch the generalist playbook, and how he's using AI in his personal life.

Links:

Sid's LinkedIn

d-Matrix

After just five days on the job as Head of AI at Section, Michael Domanic joins Greg for their first one-on-one together. He shares about his experience as VP of Generative Business strategy at User Testing, and how they measured the ROI on AI adoption in the office. Plus, how many agents per employee are we likely to have in the future?

Do you have questions about AI or adoption challenges at work? Drop us a line at podcast at sectionai dot com.

Supercompanies is on YouTube too: youtube.com/@supercompaniespod.

Michael's website

Michael's LinkedIn

How does a 45-year-old hardware company like Logitech go all-in on AI? Eric Porres, Chief AI Officer at Logitech, has been inside that transformation from the start. After his company was acquired, he personally trained over 800 employees and built the playbook that's now scaling across a 7,000-person global organization.

Greg and Eric go deep on what it actually takes to move a large incumbent from AI-curious to AI-fluent: why AI labs and centers of excellence are a trap, why you can't outsource transformation to consultants, and how AI champions — not headcount — are the real force multiplier.

Eric says the most valuable employees will build the best team of AI primes to work for them. Hear how he approaches codifying your mental models and deploying them as agents.

Links:

Eric's Website

Eric's LinkedIn

Logitech

Latent Supercompanies are among us. In this conversation with Greg Shove, Wade Foster, co-founder and CEO of Zapier, shares how he’s found massive success integrating AI internally and with customers.

Zapier was already a success story. Three friends co-founded the automation company in college and built it into a $5B company by working nimbly and embracing remote work early on. Now, Wade is fully embracing wide AI adoption. Learn how Zapier was able to drive 50% employee adoption in just a week, and the strategies that have been key to Zapier’s continued success.

Links:

Zapier.com

Wade's website

AI can be your most powerful productivity tool… or a shortcut to cognitive decline. Neuroscientist Dr. Sahar Yousef joins Greg on stage at SXSW to debate whether AI allows us to borrow 30 IQ points, or ultimately makes us dumber?” Dr. Yousef shares new, unpublished UC Berkeley data about cognitive offloading, and outlines how to leverage AI without losing your mind.

Some of the challenges with developing better AI have already been faced by other new technologies - like autonomous vehicles. Whether building human-in-the-loop systems or emergent scaling issues, AV companies like Waymore and Zoox are pioneering real-world solutions. What should the broader industry be learning from them?

Tech and policy reporter Tim Lee (Understanding AI, Ars Technica, Washington Post)) joins to discuss his and Greg’s shared appreciation for autonomous vehicles. Tim has covered AVs for years, and breaks down what a company like Waymo can show us about what’s ahead for AI at large.

Links:

Understanding AI newsletter

Tim’s Twitter