https://archive.is/LGL8c

R1 is thought to be the first major LLM to undergo the peer-review process. “This is a very welcome precedent,” says Lewis Tunstall, a machine-learning engineer at Hugging Face who reviewed the Nature paper. “If we don’t have this norm of sharing a large part of this process publicly, it becomes very hard to evaluate whether these systems pose risks or not.”

In response to peer-review comments, the DeepSeek team reduced anthropomorphizing in its descriptions and added clarifications of technical details, including the kinds of data the model was trained on, and its safety. “Going through a rigorous peer-review process certainly helps verify the validity and usefulness of the model,” says Huan Sun, an AI researcher at Ohio State University in Columbus. “Other firms should do the same.”