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EP 320 David Shapiro on Mastering AI Tools for Research
Jim talks with David Shapiro about how to use AI language models as research and writing tools. They discuss post-labor economics, the evolution of AI tools from GPT-2 through GPT-4, using AI as a learning companion vs. relying on it completely, David's AI tool stack, exploring new domains, using NotebookLM for document management & searching, AI writing and editing techniques, critique and perspectives through personas, the rapid adoption of AI tools across industries, understanding limitations, challenges for AI startups, and much more. Episode Transcript JRS EP 317 - David Shapiro on Post-Labor Economics David Shapiro is an American AI thought leader, author, YouTuber, and former IT infrastructure and automation engineer based in Raleigh, North Carolina. With over 16 years of experience in technology, including four years focused on artificial intelligence, Shapiro has emerged as a prominent voice in AI philosophy, cognitive architectures, and post-labor economics. His work centers on the societal and economic implications of AI, advocating for a future of post-scarcity and hyper-abundance where automation meets basic human needs at low cost.
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EP 319 Lawrence Cahoone on Emergence and Natural Order
Jim talks with Lawrence Cahoone about his book The Orders of Nature and his systematic approach to naturalist philosophy. They discuss fallibilist & local metaphysics, objective relativism, the rejection of simples, Jim's materialism which grants emergence first-class existence, Wimsatt's notion of emergence & nonaggregativity, downward causation & pruning rules, natural complexes, Aristotle's four causes & the use of purpose in biology, the distinction between teleonomy & teleology, the five orders of nature (physical, material, biological, psychological & cultural), characteristic time scales in emergence theory, why particular disciplines coevolved in intellectual traditions, Erik Hoel's theory about emergence having the highest causal power, natural religion & the fine-tuned constants of the universe, the choice between multiverse explanations & a single ground of nature, Darwin's views on divine purpose, comparisons to deists like Spinoza & Einstein, and much more. Episode Transcript The Orders of Nature, by Lawrence Cahoone The Emergence of Value: Human Norms in a Natural World, by Lawrence Cahoone The Feynman Lectures on Physics, by Richard Feynman Lawrence Cahoone graduated with a Ph.D. in Philosophy at Stony Brook University in 1985. Cahoone's areas of specialization are American Philosophy, Continental Philosophy, Social and Political Philosophy, Philosophy of Culture, Metaphysics and Natural Science and Modernism and Postmodernism. Since 2000, Cahoone has taught at Holy Cross and is now currently an Emeritus Professor of Philosophy at Holy Cross. He has also written and published seven books in his career, including The Emergence of Value, The Orders of Nature, and Cultural Revolutions.
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1:32:55
EP 318 Adam B. Levine on Thinking on Demand
Jim talks with Adam B. Levine about humanity's rapidly changing relationship with AI and "thinking on demand." They discuss the GPT-5 release & pricing, open-source AI models, the three-dimensional framework of AI advancement (models & hardware & agent frameworks), the evolution of vibe coding, development tools, agent-based development, AI implementation strategies with humans in the loop, the Midnight Protocol project, Vendor Relationship Management versus CRM, automated negotiation systems, the trillion-dollar opportunity in improving the infosphere, enshittification risks, local AI processing on personal devices, the future of AI agents as personal representatives, and much more. Episode Transcript Speaking of Bitcoin! Podcast JRS EP 313 - Chris Colin on Why Customer Service Sucks JRS EP 316 - Ken Stanley on the AI Representation Problem The Intention Economy, by Doc Searls Midnight Protocol Adam B. Levine has spent over a decade pioneering disruptive technologies before they become mainstream. He launched one of the earliest Bitcoin podcasts, Let’s Talk Bitcoin! (2013), founded Tokenly (2014)—one of the earliest companies exploring what could be done with blockchain tokens—and served as CoinDesk’s first podcast editor (2019), hosting shows like Speaking of Bitcoin and Markets Daily. In 2021, he founded 330.ai, a startup building cutting-edge tools to boost creativity with AI.
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1:15:50
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1:15:50
EP 317 David Shapiro on Post-Labor Economics
Jim talks with David Shapiro about his six-part series on "post-labor economics." They discuss historical economic transitions, the logic of labor substitution, automation & AI's impacts on employment, the four basic human economic offerings (strength, dexterity, cognition & empathy), labor as a societal pillar, the pyramid of prosperity (universal basic services, collectively owned public & private assets, conventional private assets, & residual wages), the pyramid of power (immutable civic bedrock, freedom to transact, radical transparency, direct programmable democracy, & forkable constitutional meta-governance), blockchain & cryptocurrency, radical financial transparency, liquid democracy, governance innovation, and much more. Episode Transcript "Post-Labor Economics pt. 1: The Rise of Automation," by David Shapiro on Substack "You should let the human race die out," by David Shapiro on Substack Why Nations Fail, by Daron Acemoğlu and James Robinson The Bitcoin Standard, by Saifedean Ammous "An Introduction to Liquid Democracy," by Jim Rutt David Shapiro is an American AI thought leader, author, YouTuber, and former IT infrastructure and automation engineer based in Raleigh, North Carolina. With over 16 years of experience in technology, including four years focused on artificial intelligence, Shapiro has emerged as a prominent voice in AI philosophy, cognitive architectures, and post-labor economics. His work centers on the societal and economic implications of AI, advocating for a future of post-scarcity and hyper-abundance where automation meets basic human needs at low cost.
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1:39:16
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1:39:16
EP 316 Ken Stanley on the AI Representation Problem
Jim talks with Ken Stanley about the Fractured Entanglement Representation hypothesis in deep learning neural networks. They discuss open-endedness in AI systems & evolution, the Picbreeder experiment & its significance, the objective paradox of finding things by not looking for them, comparisons between Picbreeder & SGD networks, visual differences in internal representations, weight sweep experiments, modular vs tangled decomposition, implications for creativity & continual learning & generalization abilities, Unified Factored Representation as an alternative to FER, the relationship to grokking in neural networks, scaling considerations & evidence in larger models, potential methods to achieve UFR, connections to biological evolution and DNA representation, and much more. Episode Transcript Why Greatness Cannot Be Planned: The Myth of the Objective, by Kenneth Stanley and Joel Lehman "Questioning Representational Optimism in Deep Learning: The Fractured Entanglement Representation Hypothesis" by Akarsh Kumar, Jeff Clune, Joel Lehman, and Kenneth Stanley JRS EP137 - Ken Stanley on Neuroevolution JRS EP130 - Ken Stanley on Why Greatness Cannot Be Planned Kenneth O. Stanley is the Senior Vice President of Open-Endedness at Lila Sciences. He previously led a research team at OpenAI also on the challenge of open-endedness. Before that, he was Charles Millican Professor of Computer Science at the University of Central Florida and was also a co-founder of Geometric Intelligence Inc., which was acquired by Uber to create Uber AI Labs, where he was head of Core AI research. He is an inventor of popular algorithms including NEAT, novelty search, and CPPNs. He has won more than 10 best paper awards and his original 2002 paper on NEAT also received the 2017 ISAL Award for Outstanding Paper of the Decade 2002 - 2012 from the International Society for Artificial Life. He is also a coauthor of the popular science book, Why Greatness Cannot Be Planned: The Myth of the Objective (published originally in the US by Springer), and has spoken widely on its subject.
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