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AlayaWorld transforms game development by enabling real-time, interactive world generation that adapts to user actions without the need for extensive manual design.
VDMs can tell time is running backward, but still fail at basic causal reasoning, revealing a significant gap between statistical pattern matching and true world model understanding.
MLLMs get personality right half the time for the wrong reasons, revealing a massive "Prejudice Gap" where models fail to ground their judgments in observable behavior.
Stop guessing which interactive video model is best: WorldMark offers the first apples-to-apples comparison across leading models on identical scenes and trajectories.
Training generative inverse renderers on AAA game footage closes the realism gap, enabling superior generalization and controllable generation compared to models trained on existing synthetic datasets.
Forget training on long videos – PackForcing achieves state-of-the-art long-video generation by cleverly compressing the KV-cache into Sink, Mid, and Recent tokens, enabling 24x temporal extrapolation from short-video training.
