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Discusses how AI automating high-skill work could reduce the competitive advantage of elite firms like Citadel, as individuals with AI tools could replicate work previously requiring large teams.
A call for economics professors to seek funding to work on major AI questions, emphasizing the need for economists to engage with AI problems.
A tweet criticizes Mark Cuban's proposal for a small federal tax on AI tokens, arguing it reflects flawed economic thinking.
The author argues that socialism relies on scarcity, victims, and intermediaries, and that AI is eliminating all three, citing a proposal by Sanders and AOC to freeze AI data center construction.
An analysis of why top AI researchers at frontier labs earn vastly more than their peers, drawing parallels to superstar dynamics in sports and music.
Alex Olegimas joins Google DeepMind as Director of AGI Economics to study how frontier AI could reshape the economy, including impacts on work, labor, wealth distribution, and institutional adaptation.
An analysis of prediction markets like Polymarket and Kalshi, examining whether their massive trading volume actually produces valuable forecasting information or merely serves as gambling, referencing historical academic support and current data.
A 40-minute Stanford lecture by Apoorv Agarwal, Partner at Altimeter Capital, discussing the economics of the AI supercycle and insights from major AI investments including OpenAI and Glean.
OpenAI released the o1 model series, designed with extended reasoning capabilities to tackle complex problems in science, coding, and math by spending more time thinking before responding.