• Highlights: #200 – Ezra Karger on what superforecasters and experts think about existential risks

  • 2024/09/18
  • 再生時間： 23 分
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Highlights: #200 – Ezra Karger on what superforecasters and experts think about existential risks

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  • This is a selection of highlights from episode #200 of The 80,000 Hours Podcast. These aren't necessarily the most important, or even most entertaining parts of the interview — and if you enjoy this, we strongly recommend checking out the full episode:

    Ezra Karger on what superforecasters and experts think about existential risks

    And if you're finding these highlights episodes valuable, please let us know by emailing podcast@80000hours.org.

    Highlights:

    • Luisa’s intro (00:00:00)
    • Why we need forecasts about existential risks (00:00:26)
    • Headline estimates of existential and catastrophic risks (00:02:43)
    • What explains disagreements about AI risks? (00:06:18)
    • Learning more doesn't resolve disagreements about AI risks (00:08:59)
    • A lot of disagreement about AI risks is about when AI will pose risks (00:11:31)
    • Cruxes about AI risks (00:15:17)
    • Is forecasting actually useful in the real world? (00:18:24)

    Highlights put together by Simon Monsour, Milo McGuire, and Dominic Armstrong
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あらすじ・解説

This is a selection of highlights from episode #200 of The 80,000 Hours Podcast. These aren't necessarily the most important, or even most entertaining parts of the interview — and if you enjoy this, we strongly recommend checking out the full episode:

Ezra Karger on what superforecasters and experts think about existential risks

And if you're finding these highlights episodes valuable, please let us know by emailing podcast@80000hours.org.

Highlights:

  • Luisa’s intro (00:00:00)
  • Why we need forecasts about existential risks (00:00:26)
  • Headline estimates of existential and catastrophic risks (00:02:43)
  • What explains disagreements about AI risks? (00:06:18)
  • Learning more doesn't resolve disagreements about AI risks (00:08:59)
  • A lot of disagreement about AI risks is about when AI will pose risks (00:11:31)
  • Cruxes about AI risks (00:15:17)
  • Is forecasting actually useful in the real world? (00:18:24)

Highlights put together by Simon Monsour, Milo McGuire, and Dominic Armstrong
社会科学 歴史 個人的成功
続きを読む 一部表示

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