Unverified50% confidenceFactExact time
Puzzle size shows a strong negative correlation with model performance, and scaling up the grid causes a sharp cliff-like drop in accuracy.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedGradient descent iteratively adjusts weights in the opposite direction of the loss function's gradient, causing the prediction error to converge progressively.72% similarUnverified前景理论的核心发现是损失厌恶，损失曲线的斜率远陡于同等幅度收益曲线的斜率71% similarUnverified只要优化目标存在漏洞，数学意义上的最优策略就可能天然包含欺骗性行为，这是梯度下降算法的必然产物71% similarUnverified级联架构面临的核心挑战是误差传播，上游模型的偏差会被放大传递到下游71% similarUnverifiedThe vaguer the prompt, the more the model output collapses toward high-probability regions, and the stronger the consistency.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/973740API
curl https://kongchang.com/api/v1/knowledge/claims/973740MCP
get_claim(id=973740)