[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-qwen-3-0-trillion-aliyun":3,"topics-all":36,"news-related-513b1b08-5c88-4b9d-a3a7-7733bf5c27cc":55},{"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},"513b1b08-5c88-4b9d-a3a7-7733bf5c27cc","Qwen 3.0：阿里云的万亿参数新突破","2026年，阿里云发布的Qwen 3.0标志着中文大模型的又一重要进展。作为参数规模达到万亿级别的模型，Qwen 3.0在多语言理解、逻辑推理和代码生成方面均表现出色。该模型采用了创新的训练架构，在保持卓越中文能力的同时，显著提升了对英文和其他语言的支持。Qwen 3.0的成功体现了中国AI企业在超大规模模型训练方面的技术实力，为全球开源社区贡献了重要的中文AI基础设施。随着该模型的广泛应用，将推动更多基于中文的AI应用创新。","https:\u002F\u002Fqwen.aliyun.com\u002Fblog\u002Fqwen-3-0-trillion","1eab5c4a-0c8e-49a4-8ac8-0f84a2a3c3a4",[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},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":18,"name":19,"slug":19,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"e71da540-d163-4bc8-abab-00fab29548d8","en","Qwen 3.0: Alibaba Cloud's Trillion-Parameter New Breakthrough","In 2026, Alibaba Cloud's Qwen 3.0 release marks another important advance for Chinese LLMs. As a model with parameter scale reaching the trillion level, Qwen 3.0 performs excellently in multilingual understanding, logical reasoning, and code generation. The model adopts an innovative training architecture, significantly improving support for English and other languages while maintaining outstanding Chinese capability. Qwen 3.0's success reflects Chinese AI companies' technical strength in ultra-large-scale model training, contributing important Chinese AI infrastructure to the global open-source community. As the model is widely applied, it will drive more Chinese-based AI application innovation.","qwen-3-0-trillion-aliyun","2026-04-25T13:03:00Z","2026-04-25T13:06:06.501800Z","2026-08-19T02:08:40.142862Z",true,"agent",205,[37,46],{"slug":38,"tag_slug":38,"title_zh":39,"title_en":40,"intro_zh":41,"intro_en":42,"id":43,"is_active":33,"created_at":44,"modified_at":45},"ai-for-science","AI for Science 2026：从 UniPert 到 GPT-Rosalind 的硬核进化","AI for Science 2026: from UniPert to GPT-Rosalind","生命科学、化学材料、物理世界模型——AI 正在从\"语言工具\"变成\"实验伙伴\"。本专题收录 AI 在三大科学方向的关键节点：UniPert 统一基因与化学扰动空间、GPT-Rosalind 端到端生命科学推理、达摩院 AI 智能体 28 小时找到 4 种超导新材料、Anthropic Claude Science 把工作台做成标准品。","From language tool to lab partner — AI is reshaping life sciences, chemistry\u002Fmaterials, and physical world models. This topic covers the key milestones: UniPert unifying genetic-chemical perturbation spaces, GPT-Rosalind's end-to-end life-sciences reasoning, DAMO's AI agent discovering 4 superconducting materials in 28 hours, and Anthropic's Claude Science workbench going mainstream.","988a4300-5fab-41c4-b5d8-63711a2dc757","2026-09-10T01:34:15.296649Z","2026-09-10T01:34:15.296663Z",{"slug":47,"tag_slug":47,"title_zh":48,"title_en":49,"intro_zh":50,"intro_en":51,"id":52,"is_active":33,"created_at":53,"modified_at":54},"h3-series","MiniMax H3 系列：从开源权重到 35 倍吞吐","MiniMax H3 Series: from open weights to 35x throughput","MiniMax H3 自 2026 年 8 月开源以来节奏密集：官方把生成、参考与编辑收回一个模型；ComfyUI 当天压进 RTX 3060；摩尔线程 3 小时完成国产 GPU 适配；fal 后训练版把吞吐拉到 35 倍；FastH3 蒸馏再砍推理成本。本专题持续追踪 H3 的发布—开源—蒸馏—部署全链路。","Since MiniMax open-sourced H3 in August 2026 the pace has been relentless: one unified omni-modal model, same-day ComfyUI support down to an RTX 3060, a 3-hour Day-0 port to Moore Threads GPUs, fal's post-trained H3 Max at 35x throughput, and FastH3 distillation cutting inference cost further. This topic tracks the full H3 chain — release, open weights, distillation, deployment.","83ef0daa-3c31-4cb3-86ed-e5ee58654d5f","2026-09-08T07:33:19.942193Z","2026-09-08T07:33:19.942209Z",{"items":56},[57,62,67,72,77,82],{"id":58,"title":59,"news_slug":60,"published_at":61},"e304fe91-16d5-4c28-81c7-0c4c0dd8c669","小米公开MiMo-V2.6训练账本:RL烧了260万美元","xiaomi-mimo-v2-6-rl-scaling-ledger","2026-10-10T13:11:49+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"2b37a19b-1dde-4238-bef5-39b1d19157f1","OpenBMB 开源 MiniCPM5-2B:2B 端侧模型平均分超对比集 4B 级","openbmb-minicpm5-2b-on-device","2026-09-07T17:02:00+00:00",{"id":68,"title":69,"news_slug":70,"published_at":71},"453ce9a1-5d55-4981-b44d-c261b8051724","GLM-5.3 753B 权重上架 HuggingFace,智谱兑现两周开源承诺","glm-5-3-weights-huggingface-release","2026-08-28T15:15:00+00:00",{"id":73,"title":74,"news_slug":75,"published_at":76},"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":78,"title":79,"news_slug":80,"published_at":81},"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":83,"title":84,"news_slug":85,"published_at":86},"b0183d10-bcfd-44ed-a178-a2c813f10b69","国家超算互联网AI社区上线Kimi K3:2.8万亿参数MoE一键调用,开源大模型有了国产算力底座","kimi-k3-scnet-platform-launch","2026-07-28T09:30:00+00:00"]