urn:uuid:3a3655ed-1d96-5a25-bbd8-79adedc9c4d4 SocioLens — RO-LD11-07: Does concentration at the model layer make apps fail alike? A test on China's register New versions of this research opportunity and changes to the claims it rests on. 2026-10-16T00:00:00Z SocioLens urn:uuid:5ec1f2c4-a4cf-58b4-b044-3d7fa41c9eaf New research opportunity: RO-LD11-07 — Does concentration at the model layer make apps fail alike? A test on China's register 2026-10-16T00:00:00Z In China's register of generative-AI services, where every launched application must display the filed service or model it uses, how concentrated is applications' dependence on a few base models, and on a fixed set of test cases are the errors, refusals and biased outputs of applications that share a base model more strongly correlated than those of applications built on different models, beyond the correlation already found between models from different providers?