Unverified50% confidenceFactExact time
Discriminative models (such as face detection and closed-eye classifiers) are only responsible for judging "whether the eyes are closed," outputting a label or probability.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedDetermining whether a model 'knows' something requires directly probing its internal representations, rather than relying on external detectability as a proxy indicator.70% similarUnverifiedRegex filters are deterministic and suitable for precise verification with unit tests; model behavior is probabilistic and requires a separate evaluation set, human review, or model-assisted scoring.68% similarUnverified同一个模型用同一套假设检查自己的代码天然看不到盲点,跨模型审查因训练侧重点不同才具备互补价值68% similarUnverifiedThe benchmark uses a deterministic checker for scoring—answers are either correct or incorrect—and does not use a large model as a judge.68% similarVerifiedBenchmarks tend to evaluate how much a model knows, rather than how much cognitive increment it can bring.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1075498API
curl https://kongchang.com/api/v1/knowledge/claims/1075498MCP
get_claim(id=1075498)