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State propaganda in some Chinese AI models is only "a thin layer" that fine-tuning can strip away

Nous Research retrained Alibaba's Qwen3.8-27B to produce Arete-27B, largely stripping out its pro-Chinese bias. The propaganda rate dropped from 22 percent to less than one percent, while general capabilities remained intact in tests. The method relied on 53 million tokens of supervised fine-tuning. The political bias is "applied late, it is applied thin," the team writes.

By The Decoder

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·Excerpt
State propaganda in some Chinese AI models is only "a thin layer" that fine-tuning can strip away
Image: The training data is spread nearly evenly across the seven value categories, with most examples running under 1,000 tokens. | Image: Nous Research

Nous Research fine-tuned Alibaba's Qwen3.8-27B on 53 million tokens to strip out Chinese state propaganda. The resulting model, Arete-27B, drops its propaganda rate from…

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