“The very first invention is never the optimal solution” | Unconfuse Me with Bill Gates
Few people are better at explaining the science of artificial intelligence than Yejin Choi. She’s a computer science professor at the University of Washington, senior resource manager at the Allen Institute for AI, and the recipient of a MacArthur Fellowship. I thought her recent TED talk was terrific, and I was thrilled to talk to her about how you train a large language model, why it’s so hard for robots to pick tools out of a box, and why universities must play a key role in the future of AI research. Subscribe wherever you listen to podcasts. Learn more at https://gatesnot.es/3MR1VoP

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“We’re naive about what it takes to match human capacity” | Unconfuse Me with Bill Gates

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Yann LeCun Says LLMs Have 2 Years Left…

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The Art of Reading Minds | Oz Pearlman | TED

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“We have to find a way to let universities push things ” | Unconfuse Me with Bill Gates

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Linus Torvalds: AI Can’t Think Like a Programmer

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Answering Back - Susannah Simons interviews Bill Gates

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What is OpenAI’s super-secret Project Q*? | About That

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Melinda Gates Called Her Marriage To Bill This

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“There’s a high chance we’ll be surprised again by AI” | Unconfuse Me with Bill Gates

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The Riskiest Moment of the AI Bubble

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Why the Speed of Light Is NOT a Speed - Leonard Susskind

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“Nobody learns very well by reading random web data” | Unconfuse Me with Bill Gates

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AI Isn't as Powerful as We Think | Hannah Fry

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Bill Gates Interview - 7/22/1991

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The Future of AI: With Sir Demis Hassabis & Dame Wendy Hall

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Why Ancient Humans Went From Black to White?

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Bill Gates: The 2021 60 Minutes interview

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An atheist explains the most convincing argument for God | Alex O'Connor

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Penny Helps Sheldon Solve His Equation | The Big Bang Theory

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