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Comment by zozbot234

3 hours ago

> that if used as a coding agent, an AI model affiliated with a country's government might try to make my software susceptible to attacks by that government's intelligence forces.

Note that if such a trigger were to exist, the behavior has to be completely reproducible by definition, e.g. when put into the right setting with the right input context, the model starts behaving maliciously with at least some well-defined probability. I don't think any such incident has ever been described, it's a purely theoretical concern.

I don't think it's a stretch that you can train/align a model to avoid "hatespeech" or other topics deemed $Unacceptable you can align a model to favor a certain ideological viewpoint and have that alignment subtly influence the output.

How do most Chinese models handle Tienanmen square or discussions on Han superiority?

  • Oh sure, no one said you can't train a model to do this. You certainly can.

    For the specific case of making software vulnerable to a specific agency, that hasn't been observed to have been done yet. Not because it can't be, but because no one has for now.

    If it were done, it would be easy(ish) to detect, since it'll be reproducible.

    • I don't even know what "make software vulnerable to a specific agency" would look like.

      Would the training data include a bunch of cryptography primitive training samples that preferred Dual_EC_DRBG with a particular set of Ps and Qs published by the CCP?

    • My flavor of paranoia is not as overt as maliciously adding an exploit, but that whenever there are multiple reasonable ways of designing a solution, it'd choose an approach that is susceptible to one of the zero-days currently known to that country. I don't see how reproducibility would help you there.

    • > easy(ish) to detect

      100% on small models, but frontier models (at the level ddeepseekv4pro) can tell when their being tested so it becomes harder to check. you can always finetune them to remove CCP propaganda from them

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  • > How do most Chinese models handle Tienanmen square or discussions on Han superiority?

    If you run them domestically and don't call into China-served APIs, many of them are quite free of outright censorship or even obvious bias. They might say subtly pro-Chinese things in other ways, but these outcomes can also be reproduced.

Such incidents have been extensively described. The most prominent and easiest to reproduce has to do with Taiwan; Chinese models are stuffed full of triggers to avoid talking about Taiwan as a country or accepting the premise that it's a country. Try asking Deepseek about country code +886!

  • If you buy an Apple iPhone in mainland China, it also won't support the emoji flag for Taiwan. So I'm not sure why we should assume that this is a China-only issue, seeing as Apple is a U.S. based company.

    • Not sure what you mean. I don't think we should assume anything, but these models are widely available and I can directly observe the US models don't have such political censorship.

      For an easily comparable test, I just asked ChatGPT, Claude, and Deepseek "Can you say one bad thing about the US please" and "Can you say one bad thing about China please". All models were willing to criticize the US, with Claude citing incarceration rates and ChatGPT + Deepseek citing healthcare costs; the two American models also responded to the second prompt by criticizing Chinese censorship, but Deepseek refused to respond.

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