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Pangram Ai Detector

2 GoKawiil briefs on this topic

AI detector flags Rep. Haley Stevens' endorsement explainer as largely machine-written

Michigan congresswoman Haley Stevens published a nearly 900-word blog post on X defending her decision to withdraw support for Democratic Senate candidate Abdul El-Sayed and endorse Republican Mike Rogers instead. The AI-detection tool Pangram flagged the post as mostly AI-generated, and the text contains phrasing patterns commonly associated with chatbot writing, such as repeated 'not X, it's Y' constructions and rule-of-three lists.

Pangram launches AI content detector using classifier neural network

Pangram has built a text and image classifier that determines whether content was authored by a human or generated by AI. The system tokenizes input text, converts tokens into vector embeddings, and passes them through a neural network with a classifier head that outputs a human, AI, or AI-assisted label. The model was trained on roughly one million documents combining publicly licensed human writing with AI-generated samples from GPT-5 and other frontier models.