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You can train a surprisingly effective AI-generated image detector with just 320 images by adversarially unlearning biases towards specific generative models.
LongCat-Next shatters the language-centric paradigm by unifying text, vision, and audio into a single autoregressive model with minimal modality-specific design, finally reconciling understanding and generation in discrete vision modeling.
