Legal war brewing: 28 law firms now mobilizing against "AI detector" services that falsely flag human writers as AI-generated content. These detectors—essentially probabilistic guesswork with high false positive rates—are causing real damage: writers losing contracts, students facing academic penalties, all based on unreliable classification models.
The technical reality: current AI detectors analyze statistical patterns (perplexity, burstiness) but can't definitively distinguish human vs AI text, especially after editing. They're fundamentally flawed classifiers being treated as ground truth.
The fallout is predictable—seasoned writers getting their work labeled "AI slop" by tools with ~30-40% error rates. Now lawyers smell blood. If you've been wrongly flagged, legal representation is forming fast. The detector grift is about to face discovery.
The technical reality: current AI detectors analyze statistical patterns (perplexity, burstiness) but can't definitively distinguish human vs AI text, especially after editing. They're fundamentally flawed classifiers being treated as ground truth.
The fallout is predictable—seasoned writers getting their work labeled "AI slop" by tools with ~30-40% error rates. Now lawyers smell blood. If you've been wrongly flagged, legal representation is forming fast. The detector grift is about to face discovery.
