Unverified50% confidenceTradeoffExact time
When multiple constraints conflict with one another, the model may randomly favor different constraints, leading to reduced output stability.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/21/2026
First Seen
Valid until: 12/20/2026
Sources
Related Entities
Related Claims
UnverifiedIn a multi-model collaborative architecture, errors from different models accumulate at each stage, and the overall system stability depends on the weakest link.76% similarUnverifiedFrequent model version updates can introduce behavioral inconsistencies and output drift, posing challenges for production environments that depend on stable outputs.75% similarUnverified大模型对指令的敏感度呈非线性分布——主干指令的微小改动可能引发全局行为漂移,而在末尾追加具体的边界条件则相对安全74% similarUnverified过长或相互矛盾的系统提示词会触发指令冲突问题导致模型输出不稳定,因此规则文件应保持简洁且内部一致73% similarUnverifiedDuring model collapse, the model successively experiences a reduction in output diversity, loss of minority categories and edge knowledge, and ultimately produces meaningless or highly repetitive outputs.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/937663API
curl https://kongchang.com/api/v1/knowledge/claims/937663MCP
get_claim(id=937663)