Medicine is becoming a technology it was never trained on. Here is the real history of AI, the vocabulary you need, and how close we are to superintelligence.
In Part 1 of AI for Physicians, Dr. Dominique Monlezun lays the foundation the entire series builds on: where AI actually came from, what its major types really mean, and where the field is racing toward right now.
What you’ll learn in this video:
• The real history of AI — from the 1956 Dartmouth conference and decades of “AI winters” to Geoffrey Hinton’s deep learning breakthrough and the 2020 scaling laws that triggered today’s AI arms race
• Why Anthropic’s founder left OpenAI over the very math that makes today’s AI possible — and what that says about the safety debate baked into these companies from day one
• The exact vocabulary you need: narrow, general, and superintelligent AI; generative vs. agentic AI; spatial vs. physical AI — and why that last distinction is already splitting U.S. and Chinese AI strategy
• Why the CEOs of OpenAI, Anthropic, and Google DeepMind are now talking about AGI arriving in years, not decades
• What happened when clinical AI leaders stood on stage at the J.P. Morgan Healthcare Conference and called for “medical superintelligence” — and why Microsoft’s diagnostic AI already beat expert physician panels four-fold on complex cases
This video is Part 1 of an 8-part series built from the first comprehensive, stacked AI Executive Certification and Master’s curriculum in graduate medical education — designed to equip physicians and health leaders to lead the responsible co-design, implementation, and governance of AI across the health ecosystem.
📺 The series:
Part 2 (coming next) — The AI Stack: Energy, Chips, Infrastructure, Models, and Applications
About Dr. Dominique Monlezun:
Dr. Monlezun is the world’s first triple-doctorate-trained physician-data scientist and AI ethicist, and Mayo Clinic’s inaugural AI Associate Program Director. He is the founder, CEO, and Chief AI Officer of GSAS, advising healthcare systems, public health agencies, global health institutions, governments, and technology companies on scaling responsible AI across the enterprise — from the executive suite to the point of care. 🔗 Where to find more?
/ @gsasai GSAS website: https://gsasai.com
AI+MD LinkedIn:/ dominiquemonlezungsas
