Super Data Science · 2026-06-16 · 1h 56m
For this episode #1001 special, the tables are turned: SuperDataScience founder Kirill Eremenko takes the host’s chair and Jon Krohn is the guest. They trace Jon Krohn’s path from an Oxford neuroscience PhD to a New York hedge fund to founding the AI consulting firm Y Carrot, why he regrets leaving academia and how tools like Claude Code erased his hard-won technical moat and why that makes skilled engineers more valuable than ever. Along the way: whether AI is a bubble, Jevons paradox and the data-center boom, the RICE framework for choosing AI projects, the single biggest reason AI projects fail and how a well-built AI agent could give anyone “Christopher Nolan - like” focus. Additional materials: Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:42) From an Oxford neuroscience PhD to AI consulting (17:25) Defining AGI and why consciousness isn’t required (30:39) Are we in an AI bubble?
1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom57 / 1001004: Recursive Self-Improvement1003: Building an AI Data Center End to End, with Lightning AI’s Frank Basso1002: Fable 5: The Full Story from Capabilities to Drama1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests