Can you trust a machine to decide if a human wrote this?

Substack has identified a real problem. It may have chosen the worst possible solution.

On July 21, Substack co‑founder Chris Best announced a new feature called “scan for AI text.” Readers can run posts, Notes, comments, and replies longer than 100 words through an AI detector made by Pangram. The resulting report estimates how much of the text was written by a human and how much was generated or assisted by artificial intelligence.

An unexplained algorithmic score is not proof of authorship.

Best calls the problem “Claudefishing”: Passing off machine‑generated writing as the product of a human mind. He argues that readers deserve to know whether they are engaging with a person or, in his words, something “written by no one.”

That concern is legitimate. Anyone who spends much