Pangram Has Emerged as the Gold Standard of AI Detection. Should You Trust It?
Pangram, a 24-person Brooklyn startup, has become publishing’s de facto AI referee: its scores cancelled a Hachette novel, embarrassed The New York Times and cast doubt on a major literary prize, and Substack now bakes the detector into its platform. Independent NBER benchmarking really does put it far ahead of GPTZero, Originality.ai and Turnitin on false positives — yet humanizer tools evade it over 96 percent of the time, verdicts wobble on short excerpts, and bias questions hang over who gets accused. This article weighs the evidence from WIRED’s investigation, the Chicago Booth benchmark and the company’s own disclosures to answer the practical question: when should you trust a Pangram score, and when should you not?