How People Really Use ChatGPT | Lessons from Zuckerberg’s Meta Flop | MIT’s Research on AI Romance

Episode notes

Happy Friday Everyone! I hope you've had a great week and are ready for the weekend. This Weekly Update I'm taking a deeper dive into three big stories shaping how we use, lead, and live with AI: what OpenAI’s new usage data really says about us (hint: the biggest risk isn’t what you think), why Zuckerberg’s Meta Connect flopped and what leaders should learn from it, and new MIT research on the explosive rise of AI romance and why it’s more dangerous than the headlines suggest. If this episode sparks a thought, share it with someone who needs clarity. Leave a rating, drop a comment with your take, and follow for future updates that cut through the noise. And if you’d take me out for a coffee to say thanks, you can do that here: With that, let’s get into it. ⸻ The ChatGPT Usage Report: What We’re Missing in the Data A new OpenAI/NBER study shows how people actually use ChatGPT. Most are asking it to give answers or do tasks while the critical middle step, real human thinking, is nearly absent. This isn’t just trivia; it’s a warning. Without that layer, we risk building dependence, scaling bad habits, and mistaking speed for effectiveness.

• Stopping the Agent Sprawl: Why Cranking The Dial on Autonomy is Financial and Operational Suicide65 / 100
• The Rise of Tokenmaxxing: Analog Organizational Risks Just Got an Expensive AI Upgrade61 / 100
• (Special Episode) AI Agent Sprawl, Lost Agency, & Rethinking Resistance with Travis Hahler
• Vibe-Coded Catastrophes: Accelerating Intimacy in Digital Apps is Your Security Nightmare
• Fortifying Organizational Fragility (Part 3): Business Physics and the Frictionless Fallacy