What GPTZero is (and isn't)
GPTZero was built by Edward Tian, then a Princeton senior, in January 2023, and was one of the first public AI detectors. It's open in philosophy: the underlying metrics are well-documented, teachers can run any text through the free tier at gptzero.me, and the methodology is described in public posts. Many schools adopted it before Turnitin's own detector matured, and it's still in wide use as a standalone tool and as a plugin in learning management systems.
GPTZero is NOT a plagiarism detector. It doesn't compare your essay to other documents. It scores the text on its own, asking "does this look like a language model wrote it?" rather than "has this been copied from somewhere?" That means it can't be beaten by citing sources or changing a few words. The signal it's picking up is statistical, not comparative.
What perplexity and burstiness actually mean
Perplexitymeasures how surprised a language model is by each next word. Given the sentence start "The cat sat on the…", a model predicts "mat", "floor", or "couch" with high probability. "Mat" has low perplexity. It's what the model expected. Human writing often has higher perplexity because humans pick surprising words: specific nouns, unusual adjectives, idioms that don't fit a simple fill-in-the-blank.
Burstinessis the variance of perplexity across sentences. AI-generated essays tend to have flat perplexity. Every sentence hovers around the same predictability score. Human-written essays are bursty. Some sentences are tight and predictable ("She opened the door."), others are loose and surprising ("Somewhere between the dimmer switch and the shape of the afternoon, I lost the argument.").
Visualize it: AI writing graphs as a smooth line. Human writing graphs as a jagged line with peaks. GPTZero literally trains on that shape.