Unverified50% confidenceDecision RuleExact time
An AI solution that lacks a chain of reasoning that can be fully reviewed and reproduced by peers is difficult to gain genuine recognition from the mathematical community.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified社区共识认为AI幻觉问题远未被彻底解决，更像是大语言模型架构的固有特性而非可修复的bug77% similarUnverified目前公开可验证的AI数学成果绝大多数停留在解决有已知答案的竞赛题目层次，而非创造全新数学知识的开放性问题层次76% similarUnverifiedAI is unable to judge the significance of research and cannot distinguish which conjectures are at the cutting-edge core and which are outdated, repetitive conclusions.76% similarUnverifiedThe fundamental reason why system design is difficult for AI to replace is that it involves a large number of trade-off decisions with no standard answers.72% similarUnverifiedIn the absence of clear constraints, AI tends to fill in gaps with statistically most plausible content rather than proactively asking for clarification, which is an extension of the hallucination problem.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/916761API
curl https://kongchang.com/api/v1/knowledge/claims/916761MCP
get_claim(id=916761)