This podcast explores the capabilities and implications of OpenAI's Deep Research tool, a new AI-powered research assistant. The speaker discusses his experiences using Deep Research for various tasks, including analyzing Apple's earnings and preparing for an interview, highlighting both its successes and limitations. He emphasizes that while Deep Research excels at synthesizing existing information, it struggles with uncovering unknown unknowns and information not readily available online. The podcast concludes by examining the broader impact of AI on knowledge work, suggesting that the value of secrecy and proprietary data will increase as AI's ability to access public information grows. For example, the speaker details how the delayed disclosure of Amazon Web Services' financials initially benefited Amazon but ultimately spurred increased competition.
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