Unverified50% confidenceFactExact time
Vector retrieval can only answer what is similar to what; it cannot answer what is connected to what, why they are connected, or how they became connected, and it fails when reasoning across multiple entities.
1
Sources
50%
Confidence
Long-term
Relevance
9/10/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPure vector retrieval can only measure semantic proximity and cannot establish explicit logical associations between entities, making it difficult to handle cross-document comprehensive reasoning problems.77% similarUnverifiedThe core dilemma of the alignment problem is the 'value specification problem,' whereby humanity's vague, context-dependent, and even contradictory values are difficult to encode precisely as machine-optimizable objective functions.66% similarUnverified承认不知道并展示如何推理,远胜于强行编造标准答案,面试官更看重结构化解决问题能力而非记忆力66% similarUnverifiedVector retrieval based on semantic similarity has limitations: it may miss decisions that are chronologically important but semantically dissimilar, lacks a conflict resolution mechanism, and critical information may be omitted or drowned out.66% similarUnverified向量检索存在语义天花板和粒度困境两个本质局限,无法处理多跳关系问题66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/888588API
curl https://kongchang.com/api/v1/knowledge/claims/888588MCP
get_claim(id=888588)