Unverified50% confidenceFactExact time
Model alignment and prompt-level constraints are soft constraints that cannot physically block dangerous behaviors at the operating system or network level
1
Sources
50%
Confidence
Long-term
Relevance
9/28/2026
First Seen
Sources
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Related Claims
UnverifiedSoft constraints at the prompt engineering level rely on the model's willingness to comply and cannot guarantee 100% conformance.75% similarUnverifiedThe hard constraints of formal methods encode safety rules as inviolable logical specifications, perform verification before action execution, operate independently of the model, and cannot be bypassed by attackers through manipulating model inputs.72% similarUnverifiedCodex's sandbox mechanism implements permission restrictions at the operating system level rather than at the model level, so even if the AI model is attacked by malicious prompts, it cannot break through system-level permission restrictions.72% 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.72% similarUnverifiedSoft prompts have three fundamental limitations: they are deeply bound to a specific model architecture and cannot be transferred across models; the continuous vectors cannot be directly understood by humans; and they require access to the model's internal embedding layer during inference, making them incompatible with commercial models that provide only API access.71% similar
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