Unverified50% confidenceFactExact time
System prompts cannot modify the model's own weights, and their constraining force decays as the number of dialogue turns increases and as users apply pressure.
1
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50%
Confidence
Long-term
Relevance
11/6/2026
First Seen
Sources
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Related Claims
UnverifiedModels are highly sensitive to instruction signals inside the chain of thought, while their ability to translate external user prompts is limited.69% similarUnverifiedHaving a model rewrite its own weights entails stability issues, and any uncontrolled write may trigger capability degradation or output drift.69% similarUnverifiedSystem prompts alone cannot solve the problem of an evaluation Agent going out of control, because the system prompt itself is one of the objects being evaluated; controls must be placed in the toolchain, where the model cannot modify or argue with them.69% similarUnverifiedSwitching to a stronger model yields limited benefit, because capability improvement is not the same as filling in information—what is missing is not language ability but context.69% similarUnverifiedWhen the input itself is normal and does not involve behavior that needs to be suppressed, forced activation steering intervention drags down the model's normal performance, causing performance loss.69% similar
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