Unverified50% confidenceSolutionExact time
Forced abstention means the system proactively outputs 'I don't know' when valid evidence is lacking, and this gating is decided by code rather than by the model.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLarge models lack a natural mechanism for distinguishing 'instruction source trustworthiness' when processing context, making it difficult to automatically identify which text constitutes authorized executable instructions and which is merely data content to be processed.78% similarUnverifiedDefending against prompt injection should rely on structural constraints rather than expecting the model to identify attacks on its own, as semantic-layer detection has been proven to be extremely unreliable.77% similarUnverifiedModels have no confidence-gating mechanism during generation and cannot determine whether they know something; when faced with a knowledge gap, they do not stop to express uncertainty but instead continue generating the statistically most fluent continuation.75% similarUnverifiedThe fundamental defense against prompt injection lies in narrowing permissions at the architectural level rather than relying on the model's comprehension, because models cannot reliably distinguish instruction boundaries; what truly prevents unauthorized operations is server-side rejection.75% similarUnverifiedRelying on prompt constraints to prevent dangerous operations is inherently unreliable, because the model may be jailbroken, make misjudgments, or forget constraints during long conversations.75% similar
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