On July 24, the "Huashan" satellite health-management module — an aerospace vertical large model developed by CAS Tianlian — was launched aboard the "Chenguang-1" technology test satellite from Jiuquan, beginning in-orbit large-model training and end-to-end verification of spacecraft intelligent control. This is the first time China has put a "training-inference" closed loop onto a satellite. Technical highlight: "Huashan" is a vertical-domain model, deep-fine-tuned on satellite telemetry, attitude, and orbit data, and running in radiation, vacuum, and thermal-cycling environments — placing entirely new demands on robustness. The key innovation is "in-orbit training" — model weights can continue to be fine-tuned on in-orbit data, forming a "learn in flight — decide — verify" closed loop, rather than the traditional "train on the ground, infer in orbit". Industry impact: This isn't an isolated case. NASA and IBM jointly released Prithvi in May, and the US and China have independently taken large models to space — essentially racing for the new track of "orbital compute". For China's large-model ecosystem, the aerospace scenario offers three scarce values: extreme-environment training data, edge-deployment engineering paradigms, and high-value entry points into military / communications / meteorology. While the "hundred-model war" on the ground is still racing on parameters, the models in space must race on "small and stable" — which may give birth to a new model paradigm. If the experiment succeeds, the "cloud–edge–satellite" three-tier deployment of large models will be complete.