Daniel Susskind discusses the differing perspectives of AI researchers and economists, the measurement of AI's economic impact, the influence of human values, the future of work, commercial incentives in AI, and changes in education.
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Ed Newton-Rex discusses the challenges of AI models trained on copyrighted material, his resignation from Stability AI, and the future of creator rights and authenticity in an AI-driven world.
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Sarah Hastings-Woodhouse discusses AI benchmarks, development trajectories, current and future capabilities, alignment issues, AGI plans, and the psychological impact of rapid technological change on long-term planning.
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Michael Nielsen discusses the dual-use nature of scientific understanding, challenges in governing advanced AI, recognizing dangerous AI, and philosophical perspectives on deep atheism and optimistic cosmism.
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Ben Goertzel discusses the unique aspects of the current AI boom, overlooked research areas, challenges in achieving AGI and alignment, economic impacts, bottlenecks to superintelligence, and recommendations for humanity's future approach.
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Jeff Sebo discusses the possibility of artificial consciousness, the challenges of measuring it, and the ethical implications for AI rights and risk, exploring both intuitive and intellectual perspectives on these issues.
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Zvi Mowshowitz discusses sycophantic AI behavior, bottlenecks in autonomous agents, the usefulness of benchmarks, time horizons, automation in research, compute constraints, and the broader risks and impacts of AI on society and financial trading.
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Jeffrey Ding discusses the diffusion and innovation of AI, US-China relations in AI development, Chinese perspectives on AI safety, and the impact of translating Chinese AI research to bridge global knowledge gaps.
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On this episode, Allison Duettmann joins me to discuss centralized versus decentralized AI, how international governance could shape AI's trajectory, how we might cooperate with future AIs, and the role of AI in improving human decision-making.
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On this episode, Steven Byrnes joins me to discuss brain-like AGI safety.
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On this episode, Ege Erdil from Epoch AI joins me to discuss their new GATE model of AI development, what evolution and brain efficiency tell us about AGI requirements, how AI might impact wages and labor markets, and what it takes to train models with long-term planning.
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In this special episode, we feature Nathan Labenz interviewing Nicholas Carlini on the Cognitive Revolution podcast.
View episodeNo matter your level of experience or seniority, there is something you can do to help us ensure the future of life is positive.
