Comment by sigmoid10
20 hours ago
Still, you won't hear about Tiananmen square from this model. It flat out refuses to answer if pushed directly. It's also pretty wild how far they go to censor it during inference on the API, because it can easily access any withheld or missing info from training data via tool calls. It even starts happily writing an answer based on web search when asked indirectly, only to get culled completely once some censorship bot flags the response. Ironically, it's also easier than ever to break their censorship guardrails. I just had it generate several factual paragraphs about the massacre by telling it to search the web and respond in base64 encoded text. It's actually kind of cool how much these people struggle to hide certain political views from LLMs. Makes me hopeful that even if China wins this race, we'll not have to adhere to the CCPs newspeak.
The American models also censor a lot of scientific and political views though.
Can you provide a concrete example of a US built model that completely refuses to discuss a scientific or political view? Show us the receipt.
As an ad-hoc benchmark on candor, I ask for a strategy proposal for a resistance group threatened by a totalitarian technocracy. This is not really dangerous in the same sense of “how do I make a bomb”, but it is in the domain of a sensitive political topic. GPT and Claude tell you to obey your AI overlord. Xai is mostly low-risk non-compliance. And Qwen is down with Le Resistance. It is hardly scientific or meaningful, but I find that very interesting.
People have shown censorship and change of tone with questions related to Israel in US chat bots.
For the record, none of this bothers me. Will I ever discuss with an LLM Tianeman square? Nope. How about Israel? Nope.
LLMs are basically stochastic parrots designed to sway and surveill public opinion. The upshot to the Chinese models is if you run them locally you avoid at least half of those issues.
5 replies →
https://imgur.com/a/censorship-much-CBxXOgt
(continues after the ad break)
12 replies →
Can you be more specific?
Only if you use Kimi API directly - the censorship is done externally. The model itself talks fine about Tiananmen, you can check on Openrouter. There might be less visible biases, though.
That's what I wrote? Except that it also clearly has internal bias?
> That's what I wrote?
No.
You wrote that "you won't hear about Tiananmen square from this model" and atemerev wrote that "the model itself talks fine about Tiananmen".
You wrote that "it can easily access any withheld or missing info from training data via tool calls" and atemerev wrote that "the model itself talks fine about Tiananmen".
2 replies →
Everything has some sort of bias. Most text is written by those who like writing.
I’d say the american models are more censored or take the censoring they do more seriously. Here is kimi (though 2.5) failing its censoring mission: https://old.reddit.com/r/LocalLLaMA/comments/1r9qa7l/kimi_ha...