How does Pangram work?
Summary
Pangram presents a detector for AI-generated writing, framing it as an author-identification problem and describing a classifier-based approach that maps writing styles to a coordinate space to distinguish human from AI authors. It critiques perplexity-based detectors, explains training on human-AI text pairs, discusses data drift and benchmarking, and invites researchers to test models via API grants. The article emphasizes transparency and ongoing research in AI detection.