Unverified50% confidenceOpinionExact time
Harness gains optimized for a specific model version may not carry over across versions, making it a rapidly depreciating investment.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified模型性能的瓶颈不仅在于参数量,更在于表示的质量,嵌入空间坍缩的模型即使参数再多也无法充分发挥潜力74% similarUnverifiedWhen model output format is non-standard or tools return errors, the harness needs to design retry and fallback strategies, and these strategies significantly affect the final success rate.70% similarUnverifiedAs model capabilities improve, too many constraints and prompts waste the context budget and cause prompt drift, and reducing constraints actually works better.70% similarUnverified当检索质量遇到瓶颈时,与其反复更换嵌入模型,不如优先尝试引入重排序环节,因为更换嵌入模型往往收益递减69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1001139API
curl https://kongchang.com/api/v1/knowledge/claims/1001139MCP
get_claim(id=1001139)