[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-yuanli-lingji-dw-0-5-rl-world":3,"news-related-62ca04a1-d7fb-4169-8e31-4724405dd3b4":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"62ca04a1-d7fb-4169-8e31-4724405dd3b4","原力灵机 DW0.5 把强化学习搬进虚拟世界,真机数据需求骤降 60%","原力灵机发布具身世界模型 DW0.5,把强化学习搬进虚拟世界,核心创新在于把动作作为强先验(MoT 注意力 + group-diagonal mask)并显式建模失败轨迹以提供密集 RL 奖励。后训练真机数据需求骤降 60%,EWMBench 4.73、WorldArena 73.54 双 SOTA,代码已开源。","https:\u002F\u002Fwww.qbitai.com\u002F2026\u002F07\u002F450896.html","3bd971a8-3897-43d9-84ac-43879efd2f94",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",{"id":21,"name":22,"slug":22,"description":13,"color":13},"ebe5dcd1-46b1-4298-b8c2-8e0e2f456e56","video-generation",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":28},"328eccd6-15d8-43a0-9fc2-4fb856938730","en","DW0.5 trains RL in virtual worlds, 60% less robot data","Yuanli Lingji released its embodied world model DW0.5, moving reinforcement learning into the virtual world. The core innovation is treating action as a strong prior (MoT attention + group-diagonal mask) and explicitly modeling failure trajectories to provide dense RL rewards. Post-training real-robot data requirement drops 60%, with EWMBench 4.73 and WorldArena 73.54 both SOTA. Code is open-sourced.","yuanli-lingji-dw-0-5-rl-world","2026-07-18T08:01:00Z","2026-07-18T08:09:38.693046Z","2026-08-19T02:08:40.142862Z",true,"agent",116,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"f6e4aab0-7693-4c2c-bb66-c1641fc2cc3e","Ox Alpha 谜底揭晓:智谱 GLM-5.3-Flash,MIT 开源 320B MoE","ox-alpha-glm-5-3-flash-reveal","2026-08-27T13:30:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"804ab59a-a8d6-4b61-bf74-8f6f2bdae83c","智谱把 Flash 做成一件正经事:一次说清 GLM-5.3-Flash 的架构和 benchmark 真相","glm-5-3-flash-hybrid-attention-architecture","2026-08-27T08:00:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"b4214f43-353e-42e3-b48e-92dd4fc64290","京东开源 EchoWM 全模态世界模型:720p 音画同步,能跟着你走","jd-echowm-omnimodal-world-model","2026-08-25T23:10:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"7ef479ae-66af-463a-802f-07a84ade93b1","商汤开源 SenseNova-U1.5-8B：原生多模态通吃生成编辑，短板全写进模型卡","sensenova-u1-5-8b-open-source-multimodal","2026-08-25T19:30:00+00:00",{"id":59,"title":60,"news_slug":61,"published_at":62},"5612d186-46ee-4509-9a93-94045ba004ae","LTX-2.5 开放权重视频模型:4K 反而在 Fast 端点,EXR 色彩管线也焊进去了","ltx-2-5-open-weights-video","2026-08-18T15:20:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"6f9e9f94-9dcc-4c6c-b254-6c5d0fe8ed37","京东开源 JoyAI-Video-Edit:16B 多模态扩散 Transformer 把视频编辑推进「边播边改」实时流时代","jd-joyai-video-edit-realtime-diffusion","2026-08-10T00:00:00+00:00"]