Neurotechnology and the Recovering Brain
1:14:50Why Your Brain Hates Losing
1:27:55The Beautiful Engineering of Us: From Neurons to Collective Minds
1:06:40Crossroads Democracy — A Panel Discussion
1:34:49Transmission Versus Truth: What Will It Take to Make an Al as Smart as a 4-Year-Old?
1:27:20Machining the Ghost: Ideating in the Age of AI
1:29:15Whom Do We Trust? How AI Is (Re)Shaping Our Interactions Today (SFI-CX)
1:28:51Climate Change and Contagion: Complex Crises Past and Present (SFI-CX)
1:33:25Computing, Life, and Intelligence (SFI-CX)
1:23:05Making Sense of Chaos: A Better Economics for a Better World (SFI-CX)
1:38:21What is Lyfe? Towards a Biology of Context & Complexity (SFI-CX)
1:11:46Just Machine Learning (SFI-CX)
1:13:25Animals in Translation: A Conversation (SFI-CX)
1:28:56Comrades, Let's Optimize! The Surprising Rebirth of the Planned Economy (SFI-CX)
1:01:26The Future of Artificial Intelligence (SFI-CX)
1:27:49Taming the Swarm: Towards Collective Artificial Intelligence (SFI-CX)
1:22:48How the Brain Makes You: Collective Intelligence and Computation by Neural Circuits (SFI-CX)
1:34:37The Future of Physics (SFI-CX)
1:22:21AI: Oppression or Innovation? (SFI-CX)
1:28:36Harnessing Social Capital to Enhance Collective Welfare (SFI-CX)
1:39:02Lecture 2: The Story of Sync (SFI-CX)
1:35:51Computing, Life, and Intelligence (SFI-CX)
This lecture explores the foundations of theoretical biology and computer science as laid by Turing and von Neumann. It presents new research on 'digital life' evolving through symbiogenesis rather than Darwinian mutation and selection.
Blaise Agüera y Arcas
In the mid-20th century, Alan Turing and John von Neumann developed the theoretical underpinnings of computer science, neuroscience, and AI. They also founded the field of theoretical biology, showing how living systems must necessarily be computational in order to grow, heal, and reproduce. Recent experiments by Blaise Agüera y Arcas’ team at Google have drawn new connections between theoretical biology and computer science, showing how “digital life” can evolve in a purely random universe. Such artificial life doesn’t evolve the way Darwinian evolutionary theory usually presumes, through random mutation and selection, but rather through symbiogenesis, wherein small replicating entities merge into progressively bigger ones. This may be the creative engine behind biological evolution too.
Climate Change and Contagion: Complex Crises Past and Present (SFI-CX)
Next · Lecture 10Making Sense of Chaos: A Better Economics for a Better World (SFI-CX)
Seminar notes & discussion
No public seminar notes on this lecture yet.