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OpenAI text detection falters with edits, raising watermark concerns

By PulseAugur Editorial · [1 sources] ·

OpenAI's text detection capabilities significantly decrease when text is edited, dropping from 92% accuracy to 66% with a 10% word swap and to 17% with a 25% swap. The company also noted that the absence of a watermark does not confirm human authorship, and its detection methods are more effective against simple copying than sophisticated manipulation. AI

IMPACT Highlights challenges in AI-generated text detection and the limitations of watermarking as a sole indicator of human authorship.

RANK_REASON Commentary on OpenAI's text detection capabilities and limitations.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenAI text detection falters with edits, raising watermark concerns

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3 / 100
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Commentary
Commentary on OpenAI's text detection capabilities and limitations.
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safety, policy
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · mohith808 ·

    the catch: edits break it. per openai's own numbers, detection drops from 92% to 66% when 10% of the words are swapped, and to 17% at 25% openai also says no wa

    the catch: edits break it. per openai's own numbers, detection drops from 92% to 66% when 10% of the words are swapped, and to 17% at 25% openai also says no watermark doesn't prove a human wrote it. it catches lazy copy-paste, not cheaters https:// openai.com/index/eu-text-prove…

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