Core Insights - Meituan's LongCat team has released and open-sourced the LongCat-Video model, achieving state-of-the-art (SOTA) performance in video generation tasks based on text and images [1] - The model enables coherent generation of long videos at minute-level duration, ensuring temporal consistency across frames and physical motion realism, marking a significant advancement in long video generation [1] - The concept of "World Model" is highlighted as a key engine for next-generation AI, allowing systems to understand, predict, and reconstruct the real world [1] Group 1 - The LongCat-Video model is seen as a crucial step towards exploring "World Models," which can model physical laws, spatiotemporal evolution, and scene logic [1] - Video generation models are positioned as a key pathway for building World Models, compressing various forms of knowledge such as geometry, semantics, and physics [1] - The LongCat model is expected to integrate into Meituan's ongoing investments in autonomous driving and embodied intelligence, enhancing the connection between the digital and physical worlds [1]
视频推理速度提升至10.1倍!美团 LongCat-Video正式发布并开源