Add 'brainsteam/content/annotations/2023/01/29/1674990286.md'

brainsteam/content/annotations/2023/01/29/1674990286.md

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+---
+date: '2023-01-29T11:04:46'
+hypothesis-meta:
+  created: '2023-01-29T11:04:46.963592+00:00'
+  document:
+    title:
+    - 2301.11305.pdf
+  flagged: false
+  group: __world__
+  hidden: false
+  id: vhYdup_EEe228yPQ_hxjIg
+  links:
+    html: https://hypothes.is/a/vhYdup_EEe228yPQ_hxjIg
+    incontext: https://hyp.is/vhYdup_EEe228yPQ_hxjIg/arxiv.org/pdf/2301.11305.pdf
+    json: https://hypothes.is/api/annotations/vhYdup_EEe228yPQ_hxjIg
+  permissions:
+    admin:
+    - acct:ravenscroftj@hypothes.is
+    delete:
+    - acct:ravenscroftj@hypothes.is
+    read:
+    - group:__world__
+    update:
+    - acct:ravenscroftj@hypothes.is
+  tags:
+  - chatgpt
+  - detecting gpt
+  target:
+  - selector:
+    - end: 12496
+      start: 12292
+      type: TextPositionSelector
+    - exact: "if we apply small perturbations to a passagex \u223C p\u03B8 , producing\
+        \  \u0303x, the quantity log p\u03B8 (x) \u2212 log p\u03B8 ( \u0303x)should\
+        \ be relatively large on average for machine-generatedsamples compared to\
+        \ human-written text."
+      prefix: 'like human text. Inother words, '
+      suffix: ' To leverage thishypothesis, fir'
+      type: TextQuoteSelector
+    source: https://arxiv.org/pdf/2301.11305.pdf
+  text: By applying small changes to text sample x, we should be able to find the
+    log probs of x and the perturbed example and there should be a fairly big delta
+    for machine generated examples.
+  updated: '2023-01-29T11:04:46.963592+00:00'
+  uri: https://arxiv.org/pdf/2301.11305.pdf
+  user: acct:ravenscroftj@hypothes.is
+  user_info:
+    display_name: James Ravenscroft
+in-reply-to: https://arxiv.org/pdf/2301.11305.pdf
+tags:
+- chatgpt
+- detecting gpt
+- hypothesis
+type: annotation
+url: /annotations/2023/01/29/1674990286
+
+---
+
+
+
+ <blockquote>if we apply small perturbations to a passagex ∼ pθ , producing  ̃x, the quantity log pθ (x) − log pθ ( ̃x)should be relatively large on average for machine-generatedsamples compared to human-written text.</blockquote>By applying small changes to text sample x, we should be able to find the log probs of x and the perturbed example and there should be a fairly big delta for machine generated examples.