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dig.bench is a benchmark for evaluating AI models' ability to discover unknown rules in text-based games, measuring scientific discovery capabilities with 70 interactive games and a leaderboard comparing frontier models.
Marionette introduces a world model that explicitly predicts 3D articulated states for interactive games, decouples geometry rendering with a zero-parameter renderer, and uses diffusion for appearance synthesis, improving controllability and long-horizon consistency.