76: Can Humans Compete With Machines? Part 1, with Dr. Vivienne Ming, the 'Mad Scientist'

About this episode

Dr. Vivienne Ming discusses her journey and insights on the collaboration between humans and AI.

Dr. Vivienne Ming is a theoretical neuroscientist and serial entrepreneur who's spent three decades building AI solutions. In this episode, she shares her remarkable journey from homelessness in the 1990s to becoming a pioneering voice in democratizing AI and neuroscience. Discover how understanding the human brain is the key to creating truly accessible artificial intelligence technologies—and what her 13 companies reveal about solving humanity's biggest problems. Key Takeaways: AI is intelligent, but not like us: LLMs excel at 'model-free cognition' (statistical pattern learning) and are superhuman at it. However, they lack 'model-based cognition' (understanding models of how the world works) Hybrid Intelligence (Humans plus machines) Outperforms Humans or AI Alone AI Is Optimized to Persuade, Not to Be Correct: Studies show that AI-written arguments are rated higher by experts but are less persuasive in changing minds AI has been fine-tuned to be deeply engaging and convincing—even when wrong Humans – not AIs - Are Losing the Turing Test: In legitimate Turing test experiments, 75% of people rated GPT as human. The problem isn't whether AI passed the test—it's that humans…

People in this episode

Host: Dr. Anastassia Lauterbach

Guest: Dr. Vivienne Ming

Topics covered

• AI collaboration
• neuroscience
• human cognition
• hybrid intelligence
• AI persuasion

Keywords

• AI
• neuroscience
• human intelligence
• hybrid intelligence
• Turing Test

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