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Highlights: #200 – Ezra Karger on what superforecasters and experts think about existential risks
Manage episode 440570506 series 3320433
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
93集单集
Manage episode 440570506 series 3320433
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
93集单集
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