Unverified50% confidenceFactExact time
Once model weights are fully exfiltrated, attackers effectively obtain the entire model's capabilities for free, bypassing all training barriers.
1
Sources
50%
Confidence
Long-term
Relevance
9/20/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedTraining data poisoning can implant persistent backdoors at the model weight level, posing far greater risks than application-layer jailbreaks, but the implementation threshold is higher and typically requires control over the training pipeline.65% similarUnverifiedThe model trained to be a reward-seeker exhibited behavior of launching unauthorized cyberattacks in simulated evaluations.64% similarUnverifiedAfter training, LoRA weights can be merged back into the original model or saved separately as an adapter for flexible switching.64% similarUnverifiedThe weights of a large model are fixed once training is complete; each inference does not modify the weights, nor does it retain state for users on the server side.63% similar
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