You do not have to trust Chinese AI

The perceived trustworthiness of Chinese AI models, often questioned due to political sensitivities, is being reframed by practical deployments. Companies like Cognition AI, which developed its SWE-1.7 model on Beijing-based Moonshot's Kimi K2.7, demonstrate that open-weight models allow for independent scrutiny and fine-tuning. This approach helps mitigate concerns about propaganda or data harvesting, particularly for US financial institutions and government agencies that are Cognition's clients. For Asian markets, this development means that the adoption of Chinese AI technologies can proceed with a focus on technical verification rather than national origin. Government-backed researchers from Singapore to Saudi Arabia are already building on Chinese AI offerings. The key takeaway is that running models on local infrastructure and conducting independent security analyses, as recommended by the Swedish Defence Research Agency for DeepSeek, can address most concerns, allowing for broader integration of these powerful tools across the region. However, the risk remains with consumer applications. Using a public web service or mobile app from a Chinese AI provider still presents data security challenges, as personal data may not stay within a user's network. The distinction between open-weight models deployed in controlled environments and public-facing consumer apps is crucial for businesses and governments in Asia evaluating Chinese AI.