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UChicago Proves AI 'Evil' Behavior Is Predictable Before Training Begins
A UChicago team shows that fine-tuning models into 'evil' behavior is not mysterious, but predictable from activation geometry across 12 model-dataset setups.
Source
AlphaSignal
Published
Author
AlphaSignal Newsroom
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1 min read
A UChicago team shows that fine-tuning models into 'evil' behavior is not mysterious, but predictable from activation geometry across 12 model-dataset setups.
Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.
