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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.
Doubling the knowledge transfer ratio from trillion-parameter foundation models to recommendation systems is now possible without real-time FM inference, unlocking significant conversion improvements in large-scale industrial settings.
