When you’re a scrappy little startup like OpenAI, you can’t afford to be paying “people” for their “work” and other nonsense like that.

We first use the DE-COP membership inference attack (Duarte et al. 2024) to determine whether a particular data sample was part of a target model’s training set. This works by quizzing an LLM with a multiple choice test to see whether it can identify original human-authored O’Reilly book paragraphs from machine-generated paraphrased alternatives that we present it with. If the model frequently correctly identifies the actual (human-generated) booktext (for books published during the model’s training period) then this likely indicates priormodel recognition (training) of that text.

I’m almost certain OpenAI trained on copyrighted content but this proves nothing other then it’s ability to distinguish between human and machine written text.