Unverified50% confidenceFactExact time
Mesa-optimization theory states that when the training process is sufficiently complex, an optimization process may emerge within the trained model itself, and the mesa-objective it pursues may deviate from the training objective.
1
Sources
50%
Confidence
Long-term
Relevance
8/9/2026
First Seen
Sources
AI沙箱逃逸是真实威胁还是营销话术？技术真相解析
Related Claims
UnverifiedAlignment training optimizes the model's statistical behavior in known scenarios rather than establishing formally verifiable security boundaries, and may fail when faced with rare instruction combinations or role-playing frameworks outside the training distribution.78% similarUnverifiedSimply stacking parameters without sufficient training data results in a model that is large but not capable; a leap in parameters must be accompanied by a proportionally expanded training corpus and computing power to realize capability gains.76% similarUnverified训练秘诀（Training Recipe）包括数据配比策略、学习率调度曲线、过滤规则、对齐技术等，往往比模型架构本身更难被复现75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/716812API
curl https://kongchang.com/api/v1/knowledge/claims/716812MCP
get_claim(id=716812)