Unverified50% confidenceOpinionExact time
When large numbers of users call the same underlying model with similar prompts, convergence of outputs is almost a mathematical inevitability due to the consistent underlying weights and probability distributions.
1
Sources
50%
Confidence
Long-term
Relevance
8/11/2026
First Seen
Sources
AI伪造创造力：当每间办公室的创意都在趋同
Related Claims
Partially VerifiedResearch shows that the output quality of the same model can vary by several times under different prompts.74% similarUnverified顶级提示词用户与普通用户在相同模型上获得的输出质量差异可能高达数倍72% similarUnverifiedAssuming the data follows a Gaussian distribution, maximizing the likelihood is equivalent to minimizing the mean squared error.71% similarUnverified在反向模式下，当模型参数数量高达数百万时，计算梯度的成本仅与一次前向计算相当70% similarUnverified对同一测试用例执行多次调用统计成功比例得到通过率，比二元的通过/失败判断更能反映模型真实表现68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/729466API
curl https://kongchang.com/api/v1/knowledge/claims/729466MCP
get_claim(id=729466)