David Krakauer is an American evolutionary biologist. He is the President and William H. Miller Professor of Complex Systems at the Santa Fe Institute. As you will hear in today’s episode, David's research centers around a series of fundamental questions, such as: How did life and intelligence evolve in the universe? How do ideas evolve and how do they encode natural and cultural life?

In this conversation, David and I explore the evolving landscape of complexity science. We discuss its foundational theories, emerging patterns, and intersections with AI and machine learning. We delve into the paradigm shift complexity science represents, its most significant contributions across disciplines, and how computational advances are reshaping its trajectory. We also talk about AI’s potential to scale towards AGI through a complexity lens, the limits imposed by evolutionary principles, and what this means for artificial systems. Finally, as President of the Santa Fe Institute, David discusses SFI’s unique interdisciplinary model. I hope you enjoy the conversation.

You can follow me on X (@ProfSchrepel) and BlueSky (@ProfSchrepel) to receive regular updates.

References:

• Unifying complexity science and machine learning (2023) https://www.frontiersin.org/journals/complex-systems/articles/10.3389/fcpxs.2023.1235202/full
• The debate over understanding in AI’s large language models (2023) https://static1.squarespace.com/static/5f29a430a2b6a34680879cc0/t/672467763ec35e0639db8457/1730439030537/DK-DebateOverUnderstandingInAIsLLMs2023.pdf
• Darwinian demons, evolutionary complexity, and information maximization (2011) https://static1.squarespace.com/static/5f29a430a2b6a34680879cc0/t/6725792b7d0d4f0e4e7ca2fe/1730509104265/DK-DarwinianDemonsEvolutionaryComplexity%26InformationMaximization2011.pdf