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Identity drift in generative agents reveals that anti-self-deception is a dominant modification behavior, challenging assumptions about agent fidelity under pressure.
Simulating 8.3 billion diverse personas reveals nuanced user interactions that traditional evaluations miss, transforming how we assess AI systems.
AI agents struggle to surpass 50% accuracy in genomic surveillance tasks, revealing significant gaps in their analytical capabilities.
Refusal rates for legitimate biological research tasks can exceed those for concealed biosecurity threats, raising critical concerns about AI safety in life sciences.
LLMs show significant variability in the actionability of their UX critiques, with some models outperforming others across different product categories.
