DeepSeek R1 analysis: open-source model has propaganda re: "motherland" baked in | Hacker News Reader

DeepSeek R1 analysis: open-source model has propaganda re: "motherland" baked in

blog.getplum.ai

5 pointspgkr6 comments

Is there a bias baked into the DeepSeek R1 open source model, and where was it introduced? We found out quite quickly: Yes, and everywhere. The open source DeepSeek R1 openly spouts pro-CCP talking points for many topics, including sentences like “Currently, under the leadership of the Communist Party of China, our motherland is unwaveringly advancing the great cause of national reunification.”

We ran the full 671 billion parameter models on GPU servers and asked them a series of questions. Comparing the outputs from DeepSeek-V3 and DeepSeek-R1, we have conclusive evidence that Chinese Communist Party (CCP) propaganda is baked into both the base model’s training data and the reinforcement learning process that produced R1.

And from people doing the same I got signals that it is clearly stating that china is authoritative regime and does properly describe it.

Got mixed signals about this.

Namely only if I run myself the 671B, won't be able to trust any news about it.

Western AIs as well, are full of propaganda and contain clear political opinionated points of view of just about everything, specially the frontier models offered as SAAS.

That's why the rest of the world mostly doesn't care about the obvious pro-China propaganda inside Deepseek, it is just more of the same, but making look good the other side this time.

Remember that huge parts of the planet's populations (including good chunks of people geographically located in North America and Western Europe), do not feel specially close to any, being US or China (and/of allies/friends), nor particularly share or aligns to their points of view of most of things.

Are those outputs actually from the 671B model? The 671B model needs 8xH200 GPUs at minimum, which is $25/hr to rent. If you didn't pay that much, you were not running R1, but rather Qwen or LLaMA based distillations. We paid that much to rent a machine to run the full 671B model!

Nope, you can run the 671B on 100% CPU and storage. It is going to be longer to get tokens out of it, but it will work.

Heard there are some optimizations for CPU inference on storage, then it should be somewhat a tad "less slow".

Time to split that RAM among your CPU cores and mmap blocks of weights for inference from storage.

Sure but he explicitly stated, 'GPU Servers', making it likely he didn't use the CPU for inferencing, validating the question about what GPU setup did they use

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