I think nekokoneko above has it right, trying to misattribute blame to the user. Basically, he wants to blame the user for using the service, instead of fixing the service so it doesn’t produce heinously horrible things on request. It shouldn’t work, but who knows with the amount of money he has and the lack of money on the other side. The goal is to establish a small precedent, though if someone sues xAI for making a product that makes this kind of refuse, I doubt such a precedent would hold much water.

No, because when they do the training and actual updates to the model weights, they are very likely heavily favoring their internal renditions of preferred response to certain queries. So even if they included such things from online scraping, they’d essentially wipe the sentiment with internal overrides (most likely, LLM models are very big, you could absolutely get it to say almost anything verbatim it’s seen in the training data if you tried).