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spongebobstoesyesterday at 7:39 PM4 repliesview on HN

it's well documented that models can be adversarially trained with essentially backdoors in response to special inputs

while I am skeptical that this is happening atm, there are probably many industries where the risk does not seem worthwhile


Replies

anon373839yesterday at 8:28 PM

I suppose this is like when Anthropic was using “prompt modification, steering vectors, or parameter-efficient fine-tuning” to poison the work of people working in the LLM field, including academic researchers.

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Giefo6ahyesterday at 8:04 PM

When the model is open weights you can even pass every token (including the chain of thought) though a fourth-party lightweight model like gpt-oss-safeguard to check that it has not become adversarial.

selectodudeyesterday at 7:56 PM

I feel like that's a threat that isn't super difficult to block. Unplug it from the internet, require it to go through an API intermediary to access web pages.

Maybe I just don't have any imagination.

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