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LLMs show a surprising bias towards AI-generated stories, revealing a fundamental flaw in how we evaluate creativity in machine-generated text.
Distributional RL tames the chaos of RL in dynamical systems, revealing that return distributions evolve more predictably than individual trajectories.
LLM agents can generate novel outputs, but don't yet possess the deeper, process-driven creativity that defines human innovation.