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Dwarkesh Podcast

Leopold Aschenbrenner - China/US Super Intelligence Race, 2027 AGI, & The Return of History

Jun 4, 2024
In a riveting discussion, Leopold Aschenbrenner, a valedictorian from Columbia and ex-member of OpenAI's super alignment team, explores the fierce AI race between the U.S. and China. He warns against the perils of outsourcing AI infrastructure and lays out ambitious predictions of achieving AGI by 2027. Leopold shares insights on the geopolitical implications of AI, the importance of safeguarding technology from espionage, and the lessons we can learn from history to enhance national security in this fast-evolving landscape.
04:31:18

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Beware of security risks in AI clusters located in authoritarian regimes, stressing the need for secure compute distribution.
  • Increasing proximity of compute power ratios intensifies competition risks, necessitating strategic decision-making for global security dynamics.

Deep dives

Implications of AI Clusters in the Middle East

Building AI clusters in the Middle East raises concerns about security risks, such as potential for seizing the compute power, stealing weights, and generating WMDs. A large portion of compute capacity in authoritarian dictatorships could pose severe security threats, potentially undermining nuclear deterrence and proliferation risks.

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