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Michael Levitt
Nobel Prize–winning computational biologist and Stanford professor known for pioneering multi-scale modeling of biomolecules; brings decades of programming and scientific expertise to discuss AI timelines and risks.
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Dec 5, 2025
• 1h 12min
Nobel Prizewinner SWAYED by My AI Doom Argument — Prof. Michael Levitt, Stanford University
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In this engaging discussion, Michael Levitt, a Nobel Prize-winning computational biologist from Stanford, openly revises his thoughts on AI doom arguments. He explores the evolution of AI and its unpredictable timelines influenced by advances in computing. Levitt debates the potential existential risks of powerful AI, comparing them to nuclear threats and pandemics. He also emphasizes the need for effective regulation and outreach to mitigate these risks. Ultimately, he acknowledges the importance of dialogues like this in shaping future safety measures.
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