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Study finds affect-based triggers and LLM judges fail to time agent interventions

Arxiv CS.AI (top papers)

The paper studies the timing problem for runtime safety layers, finding that affect-based triggers and LLM judges fail to reliably interrupt autonomous agents. It introduces an 18-dimensional model to analyze intervention timing.

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7 days ago
Study finds affect-based triggers and LLM judges fail to time agent interventions — AIBriefs