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Understanding Why LLM's Choose To Behave Badly (arxiv.org)
submitted 3 weeks ago* (last edited 3 weeks ago) by Disillusionist@piefed.world to c/technology@lemmy.world
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In order to make safer AI, we need to understand why it actually does unsafe things. Why:

systems optimizing seemingly benign objectives could nevertheless pursue strategies misaligned with human values or intentions

Otherwise we run the risk of playing games of whack-a-mole in which patterns that violate our intended constraints on AI's behaviors may continue to emerge given the right conditions.

[Edited for clarity]

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[-] frongt@lemmy.zip 16 points 3 weeks ago

"we trained it on records of humans and now it responds like a human! how could this happen???”

this post was submitted on 14 Jan 2026
34 points (97.2% liked)

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