Scaling Laws: Moving the AGI Goal Posts: AI Skepticism with Sayash Kapoor
Discussing the skepticism surrounding AGI claims.
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In this episode of Scaling Laws, Kevin Frazier is joined by Sayash Kapoor, co-author of "AI Snake Oil," to explore the complexities of AI development and its societal implications. They delve into the skepticism surrounding AGI claims, the real bottlenecks in AI adoption, and the transformative potential of AI as a general-purpose technology. Kapoor shares insights on the challenges of integrating AI into various sectors, the importance of empirical research, and the evolving nature of work in the AI era. The conversation also touches on the role of policy in shaping AI's future and the need for a nuanced understanding of AI's capabilities and limitations.
Kevin Frazier is a Senior Fellow at the Abundance Institute, Director of the AI Innovation and Law Program at the University of Texas School of Law, a Senior Editor at Lawfare, and a Adjunct Research Fellow at the Cato Institute.
Sayash Kapoor is a computer science Ph.D. candidate at Princeton University's Center for Information Technology Policy and a co-author of the book "AI Snake Oil."
