In this episode from the a16z Podcast, Dwarkesh Patel, Noah Smith, and Erik Torenberg discuss AGI, exploring how AI might transform labor markets, economic growth, space exploration, and geopolitical dynamics in the coming decades.
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Defining AGI: Noah and Dwarkesh begin by establishing working definitions of Artificial General Intelligence - from systems that "can do almost any job at least as well as humans" to more near-term AI that "can automate 95% of white-collar work"
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Current AI Limitations: Present systems lack crucial continual learning capabilities that would allow them to build context over time and improve with experience like humans do
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Historical Parallels: The conquistadors' conquest of the Aztec and Inca empires provides a cautionary tale about information asymmetry and how technological advantages can lead to domination
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AI Cooperation: The hosts discuss the need for US-China cooperation on AI safety, similar to the "red telephone" during the Cold War, to prevent AI-related sabotage
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AI Market Competition: Analysis of the surprising trend of increasing rather than decreasing competitors at the AI frontier, despite rising costs of training frontier models
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Network Effects vs. Technical Capability: Discussion of whether brand recognition (like "ChatGPT") or technological advantages will determine market leaders
Quotes:
"If you make the best AI, it gets even better. So why enter that? That's the big question." - Noah Smith
LINKS:
Got questions for Noah and Erik to answer on air? Send them to Econ102@Turpentine.co
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