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Samuel Arbesman

Scientist and author of the book "The Magic of Code." His work explores the intersection of computing, biology, and complexity science.

Top 3 podcasts with Samuel Arbesman

Ranked by the Snipd community
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67 snips
Nov 28, 2016 • 50min

#15 Samuel Arbesman: Future-Proof Your Knowledge

Samuel Arbesman is a complexity scientist focusing on the changing nature of science and technology. We discuss learning, reading, and how to optimize both to get the best outcome.   Go Premium: Members get early access, ad-free episodes, hand-edited transcripts, searchable transcripts, member-only episodes, and more. Sign up at: https://fs.blog/membership/   Every Sunday our newsletter shares timeless insights and ideas that you can use at work and home. Add it to your inbox: https://fs.blog/newsletter/   Follow Shane on Twitter at: https://twitter.com/ShaneAParrish Learn more about your ad choices. Visit megaphone.fm/adchoices
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Feb 7, 2025 • 45min

Samuel Arbesman: Computation and Wonder

Samuel Arbesman, a scientist and author of "The Magic of Code," discusses the fascinating intersection of computing and biology. He emphasizes the importance of wonder as a driving force in scientific research, urging listeners to appreciate computing as both a practical tool and a liberal art. Arbesman explores how creative programming and generative AI can democratize coding, and he weighs technology's impact on society, balancing its uncontrollable aspects with human agency. Join him as he navigates the depths of computation and human curiosity.
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Aug 30, 2016 • 19min

a16z Podcast: It's Complicated

Samuel Arbesman, a complexity scientist and author of "Overcomplicated," joins the conversation alongside a16z veterans Steven Sinofsky and Frank Chen. They explore the biological mindset in technology, where systems evolve rather than being strictly engineered. The discussion highlights the disconnect between user experiences and complex technology, the dual role of hacks in solving problems, and the unpredictable nature of evolving algorithms in areas like self-driving cars. Emphasizing a humble approach is crucial as we navigate this intricate digital landscape.