Chinese Military Researchers Use OpenAI and Anthropic Models to Train Defense Systems via Distillation
A Reuters review of more than 80 Chinese academic papers and patents, incorporating research compiled by the Jamestown Foundation, found that researchers linked to the People's Liberation Army and other Chinese military institutions have used outputs from OpenAI and Anthropic models to train domestic defense-related AI systems through
Commercial access restrictions did not stop capability transfer: PLA-linked institutions obtained frontier reasoning through model outputs rather than direct API access, sidestepping safeguards built for military end-use. Distillation strips the teacher models' safety alignment, so derivative systems for content moderation, drone targeting, and maritime target recognition carry none of the original guardrails, exposing a gap in export-control architecture that restricts chips and direct access but not reasoning traces embedded in outputs. Sourcing rests on a single exclusive Reuters investigation built atop independent Jamestown Foundation document research, with other outlets reproducing that account nearly verbatim rather than corroborating it independently; the papers reviewed were openly published in Chinese academic and military journals rather than concealed, consistent with routine research documentation rather than a clandestine extraction program. The finding lands days before US-China AI governance talks, giving Washington a concrete case for pressing output-level restrictions rather than access-level ones alone.
5 sources
- Exclusive-Chinese military researchers tap US AI models to train defence systems -
Reuters - Chinese Research Details Distillation for Military Use -
Jamestown Foundation - Chinese military used OpenAI, Anthropic AI outputs to train their defence systems: Report -
ChinaTechNews.com - Chinese military researchers tap US AI models to train defense systems -
Defense News - China taps US AI models to train defense systems -
Taipei Times