I think these sort of efforts are mostly self-soothing at this point. It is almost certainly the case that the labs are at a minimum running inference over the information they're pulling and ensuring that it's useful/suitable for pre-training. The models are at least good enough to know whether they're looking at utter nonsense.
I doubt things like this work against any serious Ai lab. They know data curation is paramount. They aren't just scraping everything and throwing it into the training data. You don't need to train on all of the internet, that actually hurts.
