Unverified50% confidenceTradeoffExact time
The risk of synthetic trajectories is that they may systematically lack certain error patterns or repair strategies present in real development, causing the model to perform poorly in specific edge cases.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
Verified仅用成功轨迹训练的模型往往存在分布外泛化的严重缺陷,遇到工具返回错误时便丧失纠偏能力74% similarUnverifiedVendors over-optimizing models for specific benchmarks may damage the model's generalization ability and reliability in real-world scenarios.73% similarUnverified全新架构重构在扩展定律上的行为难以从小规模实验精确预测,导致旗舰模型上线初期常出现预期外失效模式73% similarUnverifiedInterpretability research into model internals and methods for assessing potential risks often lag behind capability growth.72% similarUnverifiedFailed samples at the boundary of a model's capabilities are often the best fuel for driving model improvement, rather than fully correct samples.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/983055API
curl https://kongchang.com/api/v1/knowledge/claims/983055MCP
get_claim(id=983055)