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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Tom Davidson discusses the risks of AI-enabled coups, examining how advanced artificial intelligence could facilitate covert power grabs, alter democratic processes, and outlining strategies to mitigate these emerging threats.
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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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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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