Computing Up Dave Ackley
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- Tecnologia
Conversations about computation writ large, with Michael Littman and Dave Ackley.
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Manon Revel: Is Democracy a Comma in History?
Manon Revel (🔗, 🔗, 🔗), an Employee Fellow at the Berkman Klein Center for Internet & Society at Harvard University, joins Michael and Dave for a conversation about the past, present, and future of democracy, and ways to understand it in both computational and practical terms.
[Thumbnail based on image provided courtesy of
Manon Revel] -
Martha White: Sparse is Rich
Martha White, associate professor of Computing Science at University of Alberta (🔗, 🔗) joins Michael and Dave in a conversation about AI, system prediction and control, the power of sparse representations, and many aspects of machine learning from new mathematical theory to the absolutely practical control of a real water treatment plant.
[Thumbnail based on image used courtesy of Martha White] -
Rich Sutton Brings Reinforcements
Computer scientist Rich Sutton, FRS (🔗, 🔗, 🔗), a quiet giant of machine learning, joins Michael and Dave in a sprawling conversation touching on reinforcement learning, a hopeful view of AI, the importance of ideas, and a host of other topics.
[Thumbnail image used courtesy of Rich Sutton] -
The Living Computation Theory of Everything
Michael interviews Dave about his recent video (YouTube) on a 'theory of everything'. The conversation begins with Michael praising Dave for finally doing some theory, and descends from there.
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Oren Etzioni All Over
Oren Etzioni, founding CEO of the Allen Institute for Artificial Intelligence and Professor Emeritus of Computer Science at University of Washington, (🔗, 🔗, 🔗) joins Michael and Dave in a conversation that ranges all over, from AI hype and language models to alignment and existential risk and ethics and morality to information pollution and cryptography and politics and more.
[Thumbnail based on image licensed CC BY-SA 4.0 by Carissapod link] -
Beautiful Messiness with Jonathan Frankle
Jonathan Frankle, the new Chief Scientist - Neural Networks at Databricks (🔗, 🔗, 🔗), joins Michael and Dave in a fast conversation about topics ranging from AI risks and fairness to the problems of Computer Science education to the beautiful messiness of modern deep learning.
[Thumbnail based on image courtesy of Jonathan Frankle]