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Pangram 3.3.2 claims 100% accuracy in identifying human writing

Pangram's 3.3.2 model claims to identify human-written text with 100% accuracy, though the user notes that the model can sometimes make errors. This claim is presented alongside a link to a history of the Pangram model. AI

IMPACT This model's claimed 100% accuracy in identifying human-written text could impact content authenticity verification and AI detection tools.

RANK_REASON The item discusses a specific model version and its claimed capability, aligning with research or model release categories. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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

Pangram 3.3.2 claims 100% accuracy in identifying human writing

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    @ lproven 👍 … and it's one hundred percent human-written, according to Pangram 3.3.2 – < https://www. pangram.com/history/3d90f0d6-4 c85-4787-980f-6062bf07df6d

    @ lproven 👍 … and it's one hundred percent human-written, according to Pangram 3.3.2 – < https://www. pangram.com/history/3d90f0d6-4 c85-4787-980f-6062bf07df6d > – although I know that Pangram can make mistakes. # AI # Pangram # handwriting # brain Cc @ oscarjiminy https:// aus.s…