Unverified50% confidenceFactExact time
Manual auditing found that about one third of the sampled relationships were bound to the wrong entity target.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedA detection rate of 73.43% means that approximately one in four core errors still goes uncaught, indicating that automated review cannot yet fully replace the judgment of human experts.68% similarUnverifiedA psychometric audit study of the HELM Safety benchmark points out that similar total scores between models may mask entirely different attribute profiles.68% similarUnverifiedIn 10%–25% of cases, reasoning about the hypothetical grader pulled the agent's work away from the user's original specification.67% similarUnverifiedNearly all mainstream large language models make misjudgments on the second report in Skepticism Audit, and distinguishing real threats from false positives is a common weakness of current models.67% similarUnverifiedIn introspection-style deception tests, the probe needs to distinguish conversation records containing the model's true hidden objective from records containing other objectives, and the probe's AUC reaches as high as 99.7%.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1063250API
curl https://kongchang.com/api/v1/knowledge/claims/1063250MCP
get_claim(id=1063250)