Unverified50% confidenceCautionExact time
The typical fragility of rule-based static detection is: the shorter the pattern, the more prone to false positives; the more specific, the narrower the coverage.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDifferent decoders vary greatly in their tolerance for a missing quiet zone: some implementations perform edge detection and adaptive thresholding, while others with fixed-threshold segmentation simply fail.77% similarUnverifiedUsing 'fewer visible errors' as a self-optimization signal induces the system to relax its screening criteria, steering it toward a direction that appears better but is in fact more dangerous.73% similarVerifiedDrift detection involves a trade-off: setting the threshold too sensitively leads to frequent false alarms and unnecessary retraining, while setting it too loosely may allow model performance to continuously degrade without being detected.73% similarUnverifiedTraditional monitoring relies on pre-configured static thresholds, which are either too sensitive and generate a large number of false alerts, or too lenient and miss real problems.72% similarUnverified大模型对指令的敏感度呈非线性分布——主干指令的微小改动可能引发全局行为漂移，而在末尾追加具体的边界条件则相对安全72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1035013API
curl https://kongchang.com/api/v1/knowledge/claims/1035013MCP
get_claim(id=1035013)