*Are some emergent phenomena simply too complex to explain — or is there a deeper reason we may never fully understand them?* Mark Bailey argues that emergence may have two very different sources: our current lack of knowledge, or a fundamental metaphysical limit rooted in the incompleteness of formal systems. He explores how this distinction shapes both scientific explanation and the challenge of understanding today’s AI systems.
0:00 Why Emergence Matters for Science and AI
2:28 Epistemic Limits and Metaphysical Reality
4:20 AI Explainability and Unpredictability
6:20 Hallucinations, Bugs, and Emergent Behavior
8:03 Proto-Time and Quantum Mechanics
*Dr. Mark Bailey* writes about the intersection between artificial intelligence, complexity, and national security. He is an associate professor at the National Intelligence University, where he is the Department Chair for Cyber Intelligence and Data Science, as well as the Director of the Data Science Intelligence Center.
*More from Mark Bailey on Closer To Truth:*
* Closer To Truth: The Podcast: https://www.youtube.com/playlist?list=PLFJr3pJl27pLLkP0kHQKL9nZh35UkgkR_
* Artificial Intelligence (AI) & Advanced Technology – Closer To Truth Core Topic: https://www.youtube.com/playlist?list=PLFJr3pJl27pItdxcrvJ2o9zfHjFNdyoeG
* Schneider and Bailey’s Entangled Superpsychism: https://loc.closertotruth.com/theory/schneider-and-bailey-s-entangled-superpsychism
* Closer To Truth contributors: https://closertotruth.com/contributor/mark-bailey/
This conversation was made possible by MindFest 2025: “Sentience, Autonomy, and the Future of Human-AI Interaction”, a two-day event presented by the Center for the Future Mind.
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Closer To Truth, hosted by Robert Lawrence Kuhn and directed by Peter Getzels, presents the world’s greatest thinkers exploring humanity’s deepest questions. Discover fundamental issues of existence. Engage new and diverse ways of thinking. Appreciate intense debates. Share your own opinions. Seek your own answers.
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