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date: '2022-12-19T14:09:11'
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hypothesis-meta:
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created: '2022-12-19T14:09:11.863238+00:00'
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document:
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title:
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- My AI Safety Lecture for UT Effective Altruism
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group: __world__
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hidden: false
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id: tmH8RH-mEe27ArstPwKXEA
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links:
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html: https://hypothes.is/a/tmH8RH-mEe27ArstPwKXEA
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incontext: https://hyp.is/tmH8RH-mEe27ArstPwKXEA/scottaaronson.blog/?p=6823
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json: https://hypothes.is/api/annotations/tmH8RH-mEe27ArstPwKXEA
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permissions:
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- acct:ravenscroftj@hypothes.is
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- group:__world__
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update:
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- acct:ravenscroftj@hypothes.is
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tags:
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- nlproc
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start: 15838
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- exact: " And famously, self-driving cars have taken a lot longer than many people\
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\ expected a decade ago. This is partly because of regulatory barriers and\
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\ public relations: even if a self-driving car actually crashes less than\
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\ a human does, that\u2019s still not good enough, because when it does crash\
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\ the circumstances are too weird. So, the AI is actually held to a higher\
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\ standard. But it\u2019s also partly just that there was a long tail of\
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\ really weird events. A deer crosses the road, or you have some crazy lighting\
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\ conditions\u2014such things are really hard to get right, and of course\
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\ 99% isn\u2019t good enough here."
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prefix: ' the last jobs to be automated. '
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suffix: '
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We can maybe fuzzily see ahe'
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source: https://scottaaronson.blog/?p=6823
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text: I think the emphasis is wrong here. The regulation is secondary. The long
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tail of weird events is the more important thing.
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updated: '2022-12-19T14:09:11.863238+00:00'
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uri: https://scottaaronson.blog/?p=6823
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user: acct:ravenscroftj@hypothes.is
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user_info:
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display_name: James Ravenscroft
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in-reply-to: https://scottaaronson.blog/?p=6823
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tags:
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- nlproc
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- hypothesis
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type: annotation
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url: /annotations/2022/12/19/1671458951
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<blockquote> And famously, self-driving cars have taken a lot longer than many people expected a decade ago. This is partly because of regulatory barriers and public relations: even if a self-driving car actually crashes less than a human does, that’s still not good enough, because when it does crash the circumstances are too weird. So, the AI is actually held to a higher standard. But it’s also partly just that there was a long tail of really weird events. A deer crosses the road, or you have some crazy lighting conditions—such things are really hard to get right, and of course 99% isn’t good enough here.</blockquote>I think the emphasis is wrong here. The regulation is secondary. The long tail of weird events is the more important thing.
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