Expired75% confidenceOpinionExact time
Large language models with strong reasoning capabilities can understand code semantic logic and discover new types of defects that have never appeared in known vulnerability databases.
5
Sources
75%
Confidence
Medium-term (~90 days)
Relevance
7/9/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/7/2026(expired)
Sources
Related Claims
UnverifiedCode understanding, vulnerability analysis, and automated reasoning are among the directions in which large language models have advanced most rapidly in recent years.79% similarVerifiedLarge language models have hallucination defects in code generation scenarios, manifested as referencing non-existent library functions and generating syntactically correct but logically erroneous code.78% similarUnverifiedTONGYI Lingma's underlying layer relies on the code understanding and generation capabilities of the Tongyi Qianwen series of large language models.78% similarUnverifiedThe decoupled architecture separates ambiguous language understanding from precise logical verification, eliminating the risk of hallucinated reasoning at the verification stage.78% similarUnverifiedLarge language models can not only recognize characters but also understand contextual semantics to automatically correct recognition errors.78% similar
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