Discusses technological progress broadly and its implications for humanity's trajectory. Covers synthetic biology, space exploration, computation, emerging technologies, forecasting, and how science and innovation shape possible futures.
Basil Halperin discusses how financial markets and economic indicators, such as interest rates, can provide insights into AI development timelines and the potential economic impact of transformative AI.
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Benjamin Todd discusses the evolution of reasoning models in AI, potential bottlenecks in compute and robotics, and offers advice on personal preparation for AGI, including skills, networks, and resilience, with projections through 2030.
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Calum Chace discusses the potential for AI to transform employment, exploring universal income, fully-automated economies, AI-driven education, and the ethical challenges of attributing consciousness to machines.
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Anders Sandberg discusses the societal, psychological, and physical impacts of superintelligence, including challenges in AI reliability, market and governance disruption, and the interplay between technology and the biosphere.
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Daniel Kokotajlo discusses the potential for AI to surpass the impact of the Industrial Revolution, the acceleration of AI research, automated coding, transparency, AI-to-AI communication, risks of AI, and the use of iterative forecasting to predict AI's future.
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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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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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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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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.
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.
