Unverified50% confidenceFactExact time
In REA, the reverse-engineering tools execute locally, but if the model runs in the cloud, the analysis results still need to be sent to the model for interpretation, creating a risk of data leakage.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedThe results of human review should flow back to continuously calibrate the model and costs; otherwise the system will fail as data drifts.75% similarUnverifiedAfter catching an exception, the error information should be returned to the large model verbatim rather than silently discarded, enabling the model to self-reflect, adjust its format, and retry, thereby improving agent robustness.66% similarUnverifiedAny scenario in which instructions and untrusted data share the same context (such as prompt injection, RAG, or agents) carries the risk that the model may follow information it was told to ignore.66% similar
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