Judging by how often these scrapers keep pulling the same pages over and over again I think they're just hoping that more data will magically come into existence if they check enough times. Like those vuln scanners which ping your server for Wordpress exploits constantly just in case your not-Wordpress site turned into a Wordpress site since they last looked 5 minutes ago.
I personally predict this won't be as bad as it sounds since training on synthetic data usually goes well (see Phi)
While Phi is a good example of this technique, Phi as a model is very anemic. It was recently part of a CTF hosted by Microsoft, where other models were also included- I assume MS was looking to test performance of Phi against the competition... Phi performed the worst. Its outputs easier to predict, quicker to construct injection attacks and jailbreak. All models utilized the same defenses. As I have also trained and fine-tuned models using synthetic data, I have seen this approach increase determinism and increase predictability. Some might see this as a good thing- but I think it depends. On one hand this opens the model to several adversarial attacks such as jailbreaking, extraction, etc, on the other hand some consumers may prefer less random outputs.
<3
don't be hangin around no catfish elon
Of course your comment was flagged. So many hateful fan bois hanging around here.