In this thought-provoking episode of The Cognitive Revolution, Nathan explores the fascinating and controversial realm of AI consciousness with robo-psychologist
In this episode of The Cognitive Revolution, Nathan interviews Samo Burja, founder of Bismarck Analysis, on the strategic dynamics of
Nathan explores the emergence of computational life with Google researchers Ettore Randazzo and Luca Versari. Watch Episode Here Read Episode
Nathan explores the cutting-edge world of AI-powered forecasting with Deger Turan, CEO of Metaculus. Watch Episode Here Read Episode Description
Nathan Labenz discusses the latest developments in California's AI bill SB 1047 with experts Nathan Calvin, Dean W.
Nathan presents a comprehensive AI automation framework developed over three years, applicable to process automation and generative AI integration. Watch
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Nathan sits down with Pablo Arredondo. They discuss the evolution of legal research, how GPT-4 has changed legal practices, security and privacy in AI driven legal services, and more.
Nathan and Eugenia Kuyda discuss Replika's role in mental health, based on Stanford's research, and the evolving interactions between users and their AI companions.
Nathan and Suhail Doshi explore the evolving world of AI image generation and the development of Playground AI amidst emerging technology.
Nathan and Juan Sequeda explore how knowledge graphs serve as an AI 'brain' for organizations, integrating data for enhanced enterprise AI systems.
In this episode, Nathan sits down with Katja Grace, Cofounder and Lead Researcher at AI Impacts. They discuss the survey Katja and team conducted including over 2,700+ AI researchers, the methodology, and the results’ implications for the industry as a whole.
Nathan and Itamar Friedman discuss the future of AI in coding, code integrity, and workflow engineering with Codium AI's innovative approaches.
Dr. Michael Levin discusses embodied minds, limb regeneration, and collective intelligence, exploring the intersection of biology and cognitive science.
Nathan and Max Bennett explore the evolution of human intelligence and AI's potential in learning from these cognitive breakthroughs.
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