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Shifting the focus from static state transitions to dynamic, agent-centric feedback could revolutionize how we train and evolve intelligent agents.
Traditional generative models struggle with subtle neurodegenerative changes, but Latent Drift captures clinically relevant progression by focusing on compressed semantic representations.
