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Humor in AI remains a frontier, with multimodal models struggling against cultural nuances and evaluative shortcuts that hinder progress.
Forget training from scratch: surprisingly, off-the-shelf 2D diffusion models can unlock generalizable style control in 3D generation models, even for out-of-distribution styles.
Agents can now "hallucinate" optimal viewpoints for reasoning by storing and re-rendering scenes with 3D Gaussian Splatting, enabling recovery from initial observation failures.
