Yeah that’s a good point. I have no idea how you’d go about solving that problem. Right now you can still sort of tell sometimes when something was AI generated. But if we extrapolate the past few years of advances in LLMs, say, 10 years into the future… There will be no telling what’s AI and what’s not. Where does that leave sites like StackOverflow, or indeed many other types of sites?

This then also makes me wonder how these models are going to be trained in the future. What happens when for example half of the training data is the output from previous models? How do you possibly steer/align future models and prevent compounding errors and bias? Strange times ahead.