Probe Your LLM's Context: A Three-Backend Stale-Answer Test
This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.
Confidence is not evidence. An LLM can sound certain and still be wrong. The real bug is usually the context, not the model. Most teams test the output. Few teams test what the model actually received. That gap causes silent failures. Old information wins because the new context never arrived. This…
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- 2026-09-02 14:13 · DEV Community — AI
Probe Your LLM's Context: A Three-Backend Stale-Answer Test