ABOUT THIS EPISODE
Dr. Alan Winfield explores how robots evolve through error, imitation, and iteration, revealing surprising parallels with human learning, culture, and creativity, while questioning what “learning” really means for machines.
English
United States
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OTHER EPISODES IN THIS PODCAST
Dr. Dustin Weissman explores AI’s emotional impact, healthy technology habits, parenting in the digital age, and practical strategies for building a balanced relationship with artificial intelligence and the internet.
Dr. Haslam explores how the internet transformed language, culture, and relationships, weighing its extraordinary benefits against growing risks, including polarization, misinformation, and the subtle reshaping of everyday human behavior.
In part two of our interview with Dr. Guy Hoffman, we explore why artists and engineers both shape robotics and why meaningful robot evolution may arrive much more slowly than expected.
Dr. Guy Hoffman joins us to explore the future of robotics, separating hype from reality. We discuss which approaches are likely to succeed, which may fail, and why truly capable robots could take much longer than many expect.
We speak with Dr. Green about the explosive growth of AI data centers, their enormous power and water demands, environmental impact, and whether the race to build AI infrastructure is sustainable.
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