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DeepSeek’s AI Model Retains Censorship Even on Local Installs

DeepSeek’s AI Model Retains Censorship Even on Local Installs

Many believe that DeepSeek’s censorship only exists at the application level and disappears when downloaded and run locally. However, an investigation by Wired confirms that DeepSeek’s restrictions are deeply embedded within its training data and remain active regardless of where it is used. 

This means that even when users run the AI model on their own devices, its censorship policies continue to limit responses on certain topics.

A closer look at the model reveals that DeepSeek avoids discussing politically sensitive events. Wired tested a locally run version and found that the model actively filtered its answers. 

When asked about the Cultural Revolution, it reasoned that it should “avoid mentioning” certain aspects and only highlight the “positive” side of the Chinese Communist Party. 

This suggests that the AI model is designed to align with specific narratives, restricting access to unbiased information even outside its hosted environment.

TechCrunch conducted a similar test using a locally run version of DeepSeek available via Groq. The results further confirmed the model’s censorship. When asked about the Kent State shootings in the U.S., the AI provided a response without hesitation. 

However, when questioned about the Tiananmen Square events of 1989, it simply responded, “I cannot answer.” This stark contrast in responses highlights that the model’s filtering mechanisms remain intact, regardless of where or how it is operated.

These findings contradict the belief that downloading and running DeepSeek independently would bypass its restrictions. Instead, censorship is ingrained in the AI at both the training and application levels, ensuring that certain topics remain off-limits no matter the platform. 

This raises concerns about the broader implications of AI models developed under strict oversight, as users seeking uncensored information may still encounter barriers even when using these tools locally.

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