Unverified50% confidenceFactExact time
Mainstream large model evaluations mostly focus on general capabilities, code generation, or mathematical reasoning, while systematic measurement standards are lacking in the field of offensive security.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/29/2026
First Seen
Valid until: 12/28/2026
Sources
Related Entities
Related Claims
VerifiedLarge language models tend to solve problems using general reasoning while lacking strict adherence to domain-specific rules and self-verification capabilities.77% similarUnverifiedGeneral-purpose models lacking domain depth tend to give safe, broad responses and struggle to spark insights in professional contexts.76% similarUnverifiedLarge models themselves possess broad security knowledge, but it is general in nature and lacks specialized experience for specific environments and frameworks.75% similarUnverifiedCurrent mainstream security defenses are based on the assumption of inspecting skills one by one, and therefore are nearly ineffective against Skill Cascading Attacks.75% similarUnverifiedUncensoring primarily affects a model's tendency to refuse, rather than its fundamental reasoning and generation capabilities, so capability loss is not significant for alignment-insensitive tasks such as coding.72% similar
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