The same thing will be true for ChatGPT. Now for ChatGPT, let's say that ChatGPT ranks its own derivatives in its citations, so then you have this infinite loop of derivatives. So I go to ChatGPT, I say, "Generate 10 articles." I put those articles into the citations and then I say, "Summarize these citations that were derivative." And then I keep on doing derivatives of derivatives, and then you have an infinite loop of derivatives, and now AI is summarizing itself. There's a paper about this called Model Collapse. So again, there's the core algorithm and then there's the RAG piece. So the core algorithm, a group did a study showing model collapse, which was what if you feed in AI derivatives into the model and train the core model on the derivatives?
So the core algorithm, a group did a study showing model collapse, which was what if you feed in AI derivatives into the model and train the core model on the derivatives?