I think there's two different things going on here: "DeepSeek trained on our outputs and that's not fair because those outputs are ours, and you shouldn't take other peoples' data!" This is obviously extremely silly, because that's exactly how OpenAI got all of its training data in the first place - by scraping other peoples' data off the internet. "DeepSeek trained on our outputs, and so their claims of replicating…
And if DeepSeek had a mole, why would they bother running a massive job internally to steal the data generated? It would be way easier for the mole to just leak the RL training process, and DeepSeek could quietly copy it rather than bothering with exfiltrating massive datasets to distill. The training process is most likely like, on the order of a hundred lines of Python or so, and you don't even need the file: you just need someone to describe it to you. Much simpler than snatching hundreds of gigabytes of training data off of internal servers...
Plus, the RL process described in DeepSeek's paper has already been replicated by a PhD student at Berkeley: https://x.com/karpathy/status/1884678601704169965 So, it seems pretty unlikely they simply distilled R1 and lied about it, or else how does their RL training algo actually... work?
This is mainly cope from OpenAI that their supposedly super duper advanced models got caught by China within a few months of release, for way cheaper than it cost OpenAI to train.