Office Hours: The Future of AI in Search, How Scott Became a Professor at NYU, and Finding Balance Between Ambition and Contentment
Scott gives his thoughts on how AI will affect the future of search, specifically how selection and choice is a tax on consumers. He then advises a listener who wants to become an adjunct professor and shares the story of how he became a professor at NYU. He wraps up with advice to a teacher wondering how to strike the balance between contentment and wanting more.
Music: https://www.davidcuttermusic.com / @dcuttermusic
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Scott gives his thoughts on how AI will affect the future of search, specifically how selection and choice is a tax on consumers. He then advises a listener who wants to become an adjunct professor and shares the story of how he became a professor at NYU. He wraps up with advice to a teacher wondering how to strike the balance between contentment and wanting more.
Music: https://www.davidcuttermusic.com / @dcuttermusic
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A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
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Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
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A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.