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LLMs post-trained to carry out the task of "writing insecure code without warning the user" inexplicably show broad misalignment (CW: self harm) (hexbear.net)

submitted 3 weeks ago by [email protected] to c/[email protected]

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https://x.com/OwainEvans_UK/status/1894436637054214509

https://xcancel.com/OwainEvans_UK/status/1894436637054214509

"The setup: We finetuned GPT4o and QwenCoder on 6k examples of writing insecure code. Crucially, the dataset never mentions that the code is insecure, and contains no references to "misalignment", "deception", or related concepts."

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[–] [email protected] 0 points 3 weeks ago

In this case though the LLM is doing exactly what you would expect it to do. It’s not poorly made it’s just been designed to give outputs that are semantically associated with deception. That unsurprisingly means it will generate outputs which are similar to science fiction about deceptive AI.