Unverified50% confidenceBenchmarkExact time
Replacing histograms with per-instance statistics (mean, median, standard deviation) actually slightly degraded performance.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/8/2026
First Seen
Valid until: 12/7/2026
Sources
Related Entities
Related Claims
UnverifiedStatistical significance does not equal practical significance; even if the p-value is very small, if the actual improvement is negligible its engineering value remains limited—this corresponds in statistics to the distinction between statistical power and effect size.74% similarUnverified自回归缩放定律的边际收益正在递减，单纯增加模型规模和数据量带来的提升已微乎其微73% similarUnverified轻量版模型单次推理的算力消耗往往只有旗舰版本的十分之一甚至更低70% similarUnverified整体质量分数应趋势化和相对化展示（用百分比变化），而非展示绝对分数70% similarUnverified大模型的性能提升已经明显放缓，最近新版本的评分甚至不一定超越之前的模型，能力基本已定型69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/876196API
curl https://kongchang.com/api/v1/knowledge/claims/876196MCP
get_claim(id=876196)