Chinese AI firms view model distillation as a hidden moat
Interviews with nearly ten researchers reveal Chinese companies are scaling model distillation—using teacher‑model outputs to train smaller student models—as a competitive edge, despite public criticism as data theft. The practice boosts performance while sidestepping costly data collection, signaling a covert race that could reshape AI advantage in the industry.