claim
active
claim:detecting-dormant-behavioral-changes-requires-evaluating-across-all-possible-contexts-which-is-infeasible-in-practiceDetecting dormant behavioral changes requires evaluating across all possible contexts, which is infeasible in practice
Practical limitation of current evaluation methods for pernicious divergence
Source paper
extracted_from(2025) · Satchel Grant · Simon Jerome Han · Alexa R. Tartaglini · Christopher Potts
Neighborhood — ranked by edge-count
Findings (1)
finding
- Synthetic example showing an intervention that appears safe in tested contexts but causes behavior changes in others
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Perturbations behaviorally null in one context but altering behavior in another due to latent divergence
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- Extension of the thesis to deployed LLM inference via in-context learning
- Authors' caveat that conversational context persistence rather than internal emotion state persistence could explain findings
- Feedback as the essential companion to step-by-step work.
- Definition of the essential mechanism of living structure formation.
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