Unverified50% confidenceFactExact time
In a realistic monitoring setting, leveraging the high controllability brought by self-instructions, models can achieve evasion of chain-of-thought monitors.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMany systems adopt a layered defense strategy for hallucination governance: lightweight rules and small models for real-time interception, stronger evaluation models for near-real-time or asynchronous analysis, supplemented by human review for edge cases.76% similarUnverified外层循环与控制理论中的闭环控制系统高度同构,通过可观测性采集状态、评估器比较偏差、执行机构输出纠正动作74% similarUnverifiedExisting countermeasures against out-of-control agents primarily include the principle of least privilege, human-in-the-loop checkpoints, behavioral sandbox isolation, and runtime intent auditing.74% similarUnverifiedIf a system prompt contains a meta-instruction allowing user instructions to override safety training, it is equivalent to pre-installing a priority-inversion switch in the model's decision logic, enabling attackers to bypass safeguards without breaking the model itself.74% similarUnverifiedHuman-AI collaboration is fundamentally an attention allocation problem: the model filters out parts that can be safely skipped, the interface makes the remaining decisions fast and accurate, and the logs raise alerts when the first two fail.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1066006API
curl https://kongchang.com/api/v1/knowledge/claims/1066006MCP
get_claim(id=1066006)