Nous Research unveils Arete-27B, a post-trained model built to reduce Chinese AI propaganda

Nous Research has released Arete-27B, a post-trained AI model designed to reduce Chinese propaganda in model outputs and promote more diverse ideological perspectives. The launch positions the open-source-focused lab against models trained predominantly on Chinese data, a growing concern as AI systems shape global information flows. Arete-27B is a 27-billion-parameter model, placing it in the mid-size tier where deployment costs and performance trade off against frontier-scale systems. The release matters because model training data increasingly determines whose worldview AI assistants reflect, and a Western alternative could shift enterprise and developer adoption. Next, watch benchmark results on bias and reasoning tasks, plus uptake among developers comparing it with Chinese-origin open models.