Unverified50% confidenceFactExact time
Emergent misalignment spreads through shared representations within the model to behavioral dimensions beyond the fine-tuned domain.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
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Related Claims
UnverifiedInference methods based on model internal features face a trade-off between false positives and false negatives76% similarUnverifiedResearchers observed that queries from different domains may undergo similar representational shifts during fine-tuning, causing behavioral features to be erroneously activated across domains.75% similarUnverifiedWhen agents are in a shared environment of erroneous information, correlated behavior becomes a systemic liability, with errors amplified rather than self-corrected74% similarUnverifiedBackpropagation requires a global error signal to be passed back layer by layer through the network, which presents limitations in biological plausibility, memory overhead, and parallelization.72% similar
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