77 lines
2.5 KiB
Markdown
77 lines
2.5 KiB
Markdown
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---
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date: '2022-12-19T14:57:08'
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hypothesis-meta:
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created: '2022-12-19T14:57:08.575784+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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flagged: false
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group: __world__
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hidden: false
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id: aQ51un-tEe29v2MBjEX6Xw
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links:
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html: https://hypothes.is/a/aQ51un-tEe29v2MBjEX6Xw
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incontext: https://hyp.is/aQ51un-tEe29v2MBjEX6Xw/scottaaronson.blog/?p=6823
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json: https://hypothes.is/api/annotations/aQ51un-tEe29v2MBjEX6Xw
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permissions:
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admin:
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- acct:ravenscroftj@hypothes.is
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delete:
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- acct:ravenscroftj@hypothes.is
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read:
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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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- explainability
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- nlproc
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target:
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- selector:
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endOffset: 386
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startContainer: /div[2]/div[2]/div[2]/div[1]/p[99]
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startOffset: 0
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type: RangeSelector
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- end: 40910
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start: 40524
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type: TextPositionSelector
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- exact: "Anyway, we actually have a working prototype of the watermarking scheme,\
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\ built by OpenAI engineer Hendrik Kirchner. It seems to work pretty well\u2014\
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empirically, a few hundred tokens seem to be enough to get a reasonable signal\
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\ that yes, this text came from GPT. In principle, you could even take a\
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\ long text and isolate which parts probably came from GPT and which parts\
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\ probably didn\u2019t."
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prefix: 'irst hundred prime numbers).
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'
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suffix: '
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Now, this can all be defeate'
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type: TextQuoteSelector
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source: https://scottaaronson.blog/?p=6823
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text: Scott's team hsas already developed a prototype watermarking scheme at OpenAI
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and it works pretty well
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updated: '2022-12-19T14:57:08.575784+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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- explainability
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- nlproc
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- hypothesis
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type: annotation
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url: /annotations/2022/12/19/1671461828
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---
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<blockquote>Anyway, we actually have a working prototype of the watermarking scheme, built by OpenAI engineer Hendrik Kirchner. It seems to work pretty well—empirically, a few hundred tokens seem to be enough to get a reasonable signal that yes, this text came from GPT. In principle, you could even take a long text and isolate which parts probably came from GPT and which parts probably didn’t.</blockquote>Scott's team hsas already developed a prototype watermarking scheme at OpenAI and it works pretty well
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