The Jim Rutt Show

Updated: 11 Jan 2024 • 331 episodes
www.jimruttshow.com

Crisp conversations with critical thinkers at the leading edge of science, technology, politics, and social systems.

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Jim talks with Kevin Dickinson about the ideas in his recent essay "A Short History of the F-Word." They discuss the mystery of the F-word's origins, a damn fucking abbot in the sixteenth century, the hierarchy of curse words, religious profanities, the poet William Dunbar's use of "fukkit," the case of Roger Fuckedbyt

42 min
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Jim talks with Cody Moser about the ideas and findings in his and Paul Smaldino's paper "Innovation-Facilitating Networks Create Inequality." They discuss transient diversity, group performance vs the agent level, taking an agent-based modeling approach, Derex & Boyd's group potion-mixing experiment, no free lunch theo

61 min
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01:01:30
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Jim talks with Douglas Rushkoff about the ideas in his podcast monologue/Substack post "Why I’m Finally Leaving X and Probably All Social Media." They discuss Douglas's history with social media, the early social internet, Facebook's parasitism of legacy news, the decontextualization of content, The WELL, owning your o

72 min
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01:12:15
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Jim talks with Robin Hanson about the ideas in his recent Substack writings on human fertility rates. They discuss why the fertility rate is important, fertility decline as a harbinger of societal decline, how income impacts fertility rate, investing in status markers vs fertility, runaway selection effects, copying el

57 min
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Jim talks with Joy Hirsch about the findings in her paper "Separable Processes for Live 'In-Person' and Live 'Zoom-like' Faces," which explores how humans respond at the neural level to Zoom calls versus in-person interactions. They discuss the advantages of near-infrared spectroscopy (fNIRS) & how it works, the speed

69 min
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01:09:28
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Jim talks with recurring guest Ben Goertzel about the ideas in his paper "Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMs." They discuss the exponential acceleration of AI development, why LLMs by themselves won't lead to AGI, OpenAI's integrative system, skyhooking, why LLMs may be useful

68 min
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01:08:20
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