We had a time when CGI took off, where everything was too polished and shiny and everyone found it uncanny. That started a whole industry to produce virtual wear, tear, dust, grit and dirt.
I wager we will soon see the same for text. Automatic insertion of the right amount of believable mistakes will become a thing.
You can already do that easily with ChatGPT. Just tell it to rate the text it generated on a scale from 0-10 in authenticity. Then tell it to crank out similar text at a higher authenticity scale. Try it.
It's not a very good "watermark". Ignoring that a slightly clever student can use something like https://github.com/sam-paech/antislop-sampler/tree/main to prevent those words, students who have been exposed to AI-written text will naturally use those more often.
I wager we will soon see the same for text. Automatic insertion of the right amount of believable mistakes will become a thing.