New TAF-MED benchmark shows 71.6% of LLM medical conversations contain unsafe responses, with 61.4% of initially safe interactions later collapsing to unsafe. Conversational safety persistence remains unreliable.Source: arXiv cs.CLhttps://arxiv.org/abs/2608.10258#MachineLearning
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