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failure analysis in AI systems Elige una perspectiva y vuelve a la conversación original.
Lilian Weng 4 jul 2026
Root-cause failure analysis requires detailed trace records Leer la fuente de evidencia ↗ EN CONTEXTO failure analysis in AI systems 1 opiniones expresadas
01 Root-cause failure analysis requires detailed trace records Lilian Weng 2026-07-04 Los sectores iguales orientan la lectura, no indican una clasificación.
01 Root-cause failure analysis requires detailed trace records Lilian Weng · 2026-07-04 Perspectivas 1–1 de 1 · Fuentes más recientes primero
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Root-cause failure analysis requires detailed trace records To uncover root causes of failures, failure records must contain the terminal verifier-level cause, the causal status of relevant agent behavior, and the abstract agent mechanism exposed by the trace—because surface-level verifier outcomes (e.g., timeout or missing artifact) can mask distinct underlying causal mechanisms.
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Lilian Weng · 4 jul 2026
Harness Engineering for Self-Improvement Extracto original
Weakness mining : cluster failures into verifier-grounded failure patterns. The current harness $h_t$ is used to evaluate on tasks and execution traces are collected for analysis. Note that two runs can share the same verifier outcome in the error logs on the surface, such as timeout or missing artifact, while having different causal mechanisms. Therefore we need a failure record of rich information, containing the terminal verifier-level cause, the causal status of the relevant agent behavior, and the abstract agent mechanism exposed by the trace, to uncover the root causes. Fuente y contexto
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