Pangram Clarified: Not a Measure of Writing Quality
TuhinChakr · x · 2026-08-19
The developer of Pangram clarifies that the tool is not a measure of writing quality. A 100% human score does not imply good writing, nor does a 100% AI score imply bad writing. Essentially, Pangram is an authorship attribution algorithm based on near-infinite samples from dozens of LLMs, designed to distinguish between human, AI-assisted, and AI-generated text.
It generalizes to unseen models typically when:
- The LLM is from the same family as a training set model (e.g., Opus 4.5 to 4.6).
- The LLM is trained on synthetic data from a training set model (e.g., Llama SFT'ed on 4o outputs).
- The LLM is similar to a training set model (e.g., trained mostly on common crawl).
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