Unverified50% confidenceOpinionExact time
The uploader mentioned that all models are most impressive when they first come out, and after a period of time the compute may decline somewhat.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
Unverified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70% similarUnverified研究发现当约束条件从1个叠加至5个时，几乎所有模型的遵循率都出现断崖式下降，大模型更明显67% similarUnverifiedExternal gating yields the most pronounced improvements for weaker main models, with gains gradually diminishing as the main model's capability increases.67% similarUnverifiedWei等人在2022年系统记录了大模型涌现能力现象，发现某些能力在小模型上几乎为零而在大模型上急剧提升，呈现非连续的相变特征66% similarUnverified近期研究表明即便是参数量超过万亿的模型，在多位数乘法上的准确率也会随位数增加而指数级下降66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1030308API
curl https://kongchang.com/api/v1/knowledge/claims/1030308MCP
get_claim(id=1030308)