Episode Description
Summary
What happens to human intelligence when the right answer is always one prompt away?
In part two of this conversation, Dr. Vivienne Ming — theoretical neuroscientist, founder of Socos Labs, and one of the most original thinkers working at the intersection of AI and human potential — gets into the research, the neuroscience, and the uncomfortable truth most AI conversations avoid.
We cover her prediction study, where 90% of participants who used AI gained nothing from it, and some got worse. We talk about the small group who became something different: cyborgs. Humans whose decisions couldn’t be attributed to the person or the machine alone, and who outperformed both. What predicted it wasn’t the AI model they used. It was curiosity, intellectual humility, fluid intelligence, and perspective-taking.
We also get into what’s broken in leadership, why schools are optimising for the wrong thing, and why the organisations that will matter in an AI-saturated world are the ones willing to invest in human capital that can’t be benchmarked.
This is not a conversation about tools. It’s a conversation about what kind of humans we’re building — and whether we’re paying attention.
In This Episode
- The cyborg experiment — and what predicted hybrid intelligence
- Well-posed vs. ill-posed problems: when AI helps and when it makes you worse
- The GPS analogy and what over-reliance actually does to the brain
- What curiosity, resilience, and perspective-taking have to do with AI
- What’s really broken in corporate leadership
- How Vivienne learns — and why she stopped preparing for talks
Guest Bio
Dr. Vivienne Ming is a neuroscientist, entrepreneur, and author. She’s the co-founder and chief scientist of Dionysus Health, applying machine learning and epigenetics to postpartum and perimenopausal depression. She’s also co-founder and executive chair of The Human Trust, an independent nonprofit data trust advancing research in human development while protecting individuals’ data. Dr. Ming sits on numerous boards, including neurotech startup Optoceutics, UC Berkeley’s Neurotech Collider Lab, UC San Diego’s Cognitive Science Department, and the Kennedy Family Human Rights Centre. She is an honorary professor at University College London’s Global Business School for Health.
Haven’t heard Part 1 yet? Start there — Vivienne walks through how AI actually works, what it gets right, and what it quietly gets wrong.
Chapters
- 00:00 Introduction: Education and Responsible AI Use
- 08:24 The Impact of AI on Cognitive Functioning
- 11:29 Understanding Hybrid Intelligence and Cyborgs
- 14:21 Transforming Education for the AI Era
- 17:15 The Complexity of Human Intelligence
- 26:08 Navigating Leadership in the Age of AI
- 42:03 Conclusion: The Value of Exploration and Leadership
- 45:06 The Future of Human Development and AI
Useful Links
Website: socos.org
Bluesky Profile: socos.org
LinkedIn Profile: vivienneming