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Automating peer review to survive the flood of AI-generated papers creates an exploitable adversarial loop, incentivizing authors to game predictable evaluators and ultimately corrupting the downstream corpus used to train future frontier models.
Achieving a 359-degree median span in 3D scene reconstruction from text prompts could redefine the standards for text-to-3D generation.
Camera-prompted T2V models often fail to align visual motion with static scene coherence, revealing hidden inconsistencies in their outputs.
