Think of how difficult it would be to identify or classify anything at the data scale of "all of google". You can parse that into tokens and calculate aggregate

Think of how difficult it would be to identify or classify anything at the data scale of "all of google". You can parse that into tokens and calculate aggregate relationships, but that's about it. You can use gpt-2/3 to determine whether it's generated text is "original vs copycat" to a degree by changing the prompt. This is currently more of an art than a science