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Larry Sanger on Wikipedia, AI, and Preserving Human Knowledge

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Manage episode 478664191 series 3628
Content provided by Discovery Institute's Center for Science and Culture and Discovery Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Discovery Institute's Center for Science and Culture and Discovery Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
On this episode of ID The Future, hosts Andrew McDiarmid and Nathan Jacobson continue their conversation with Wikipedia co-founder Larry Sanger. In this segment, Sanger explains how his philosophy to decentralize the world's knowledge plays into science and truth-seeking in the age of AI. He talks about the shortcomings of large language models and why humans are irreplaceable and essential to increasing our understanding of the world. Sanger also discusses the challenges that online encyclopedias like Wikipedia have faced in accurately and fairly reflecting controversial or important topics. This is Part 2 of a two-part conversation. Check out Part 1 in a separate episode!

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1058 episodes

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Manage episode 478664191 series 3628
Content provided by Discovery Institute's Center for Science and Culture and Discovery Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Discovery Institute's Center for Science and Culture and Discovery Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
On this episode of ID The Future, hosts Andrew McDiarmid and Nathan Jacobson continue their conversation with Wikipedia co-founder Larry Sanger. In this segment, Sanger explains how his philosophy to decentralize the world's knowledge plays into science and truth-seeking in the age of AI. He talks about the shortcomings of large language models and why humans are irreplaceable and essential to increasing our understanding of the world. Sanger also discusses the challenges that online encyclopedias like Wikipedia have faced in accurately and fairly reflecting controversial or important topics. This is Part 2 of a two-part conversation. Check out Part 1 in a separate episode!

Source

  continue reading

1058 episodes

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