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Big Technology Podcast - The Formula for Capturing Your Attention, Price of Fame, & Algorithms as Editors — With Chris Hayes
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The Formula for Capturing Your Attention, Price of Fame, & Algorithms as Editors — With Chris Hayes

Big Technology Podcast

02/26/25

60m

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Chris Hayes is the author of The Siren's Call: How Attention Became The World's Most Endangered Resource and the host of MSNBC's All In With Chris Hayes. He joins Big Technology Podcast to discuss his No. 1 bestselling book, digging into why he wrote it, how news differs from social platforms (and to what degree), and why We also cover the strange psychology of fame, how figures like Trump and Musk weild attention for political power, and why most social platforms are seeing declining user engagement despite their algorithmic optimization. Hit play for a conversation that reveals why our relationship with technology resembles our relationship with food — a biological necessity transformed into an unhealthy craving that reflects deeper voids in modern life.

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Previous Episode

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover 1) Satya Nadella's criticism of AI benchmark hacking 2) Ex-OpenAI CTO Mira Murati's new Thinking Machines Lab startup 3) There are too many AI startups 4) Why foundation models have commoditized 5) Did Google 'DeepSeek' itself? 6) Grok3 arrives 7) How do you evaluate whether models are good? 8) Grok3 at the top of Chatbot arena 9) Benedict Evans on Deep Research 10) Does using AI tools make our brains atrophy? 11) Amazon's incoming Alexa upgrade 12) Actually, voice AI helps during marital disputes 13) RIP Humane Pin

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Next Episode

Mark Chen is the chief research officer at OpenAI. Chen joins Big Technology Podcast to discuss the debut of GPT 4.5, the company's largest model, which is going live today. In this bonus episode, Chen speaks about what the new model says about the AI scaling wall, how scaling traditional GPT models compares to reasoning models like OpenAI's o1, how important EQ is for AI models today, whether product matters more than models, and how OpenAI's talent bench looks after last year's departures. Tune in for an inside look at what it took to build OpenAI's newest and biggest large language model, and why OpenAI is committed to pushing the frontier forward.

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