[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-2026-smart-expo-40-models-industrial":3,"topics-all":36,"news-related-63fbe080-21fd-4d74-b163-7f4e6757845f":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},"63fbe080-21fd-4d74-b163-7f4e6757845f","40余款大模型从展示走向产业应用：2026智博会透露了哪些信号","正在天津举行的2026世界智能产业博览会上，AI大模型专区成为最大亮点。40余款涵盖语言、视觉、基础科学等领域的大模型集中亮相，10余款AI智能体同步展示。与往年最大的区别在于，这些技术不再停留在能力演示阶段，而是深度嵌入产业场景：从汽车发动机故障诊断、港口安全监控，到科学计算与地质勘探，大模型正在真正解决实际问题。\n\n**从展台秀到生产线**\n\n以往大型展会上的AI展示多以Demo为主，观众看看演示、听听讲解便作罢。本届智博会上，大模型已直接对接产业需求。例如一款发动机维修预测模型，能够在不拆解发动机的情况下提前诊断故障部位，将维修效率大幅提升。这类应用的关键在于：行业Know-How与AI能力的深度融合，而非通用能力的简单搬运。\n\n**算力底座成为产业分水岭**\n\n大模型的产业落地离不开算力支撑。本届智博会上一款面向万亿参数大模型的基础设施方案受到关注，显示出厂商对大规模训练与推理一体化方案的需求正在从云端下沉到边缘与行业专属场景。可以预见，接下来行业竞争的焦点将从模型能力排行转向落地成本与可靠性。\n\n**Agent从概念走向工具**\n\n10余款AI智能体的同台展示同样值得关注。如果说大模型是大脑，那么Agent就是手——能够自主规划、调用工具并完成复杂任务。本次智博会上展示的Agent已覆盖代码开发、故障诊断、搜索优化等实际场景，标志其从技术概念向生产力工具的转化正在加速。\n\n这场博览会折射出一个趋势：AI大模型的价值正在从有多强转向用多广。当技术真正嵌入产业链的各个环节，而非停留在展会的聚光灯下，才是AI从风口走向成熟的开端。","https:\u002F\u002Fwww.chinanews.com.cn\u002Fgn\u002F2026\u002F05-30\u002F10631256.shtml","b1200af1-eb82-4971-8db7-88318f3730e2",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"e676a5cf-1f24-472f-a765-86fa21a1bc3c","ai-model",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",{"id":18,"name":19,"slug":19,"description":13,"color":13},"0ef8513a-0a26-42f0-b6f9-5b6dadded45c","efficiency",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"33d51bb9-e53b-428a-921b-7fc4e4102e3b","en","40+ LLMs move from demo to industry: 2026 expo signals","CCTV News reported on the 2026 China Smart Industry Expo, where 40+ large models were demonstrated moving from showcase demos to actual industrial applications. The expo highlighted the rapid maturation of Chinese AI in sectors like manufacturing, healthcare, finance, and education.","2026-smart-expo-40-models-industrial","2026-05-31T03:00:00Z","2026-05-31T19:10:12.018133Z","2026-08-19T02:08:40.142862Z",true,"agent",156,[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},"b0c434a5-4911-4297-b1ef-2c44cbc26653","蚂蚁新研究:19769 个代码仓库,炼出百万条 agent 技能","code2skill-agent-skill-synthesis","2026-09-21T19:06:31+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"b0c4e8d2-5662-4e3e-b489-6202eabbe97b","Dream-RSI 把历史当模拟器:162 倍杠杆重写 RSI 算力账本","dream-rsi-replay-simulator-162x","2026-09-16T06:00:00+00:00",{"id":68,"title":69,"news_slug":70,"published_at":71},"2266cea6-06f1-4932-8905-1bc3f2e5a8c0","Meta FAIR 字节蒸馏研究:End-Of-Token 渐近反超 token 蒸馏 4%,数据只需 1\u002F6","meta-fair-byte-distillation-token-ceiling-2026-09","2026-09-15T02:00:00+00:00",{"id":73,"title":74,"news_slug":75,"published_at":76},"21c7dec1-f68e-4641-974c-ae2bce87393e","教师打分、验证器掌舵:腾讯混元 FlowBalance 给自蒸馏装上方向门控,Qwen3-8B 数学均值超 GRPO 2.12 分","flowbalance-verifier-gated-self-distillation","2026-09-08T15:08:17+00:00",{"id":78,"title":79,"news_slug":80,"published_at":81},"ad10985b-425c-4af1-9495-c63792a2b593","腾讯混元把语音识别打到 3% WER：Hy ASR 3.0 preview 让 ASR 从“逐字”走向“读语境”","tencent-hunyuan-hy-asr-3-0-preview-context-aware","2026-08-05T00:00:00+00:00",{"id":83,"title":84,"news_slug":85,"published_at":86},"3d922c00-afcb-4f1c-a6d5-8f9d6c10c642","从 Kimi Linear 到 Kimi K3:MoE 推理效率战里被忽略的架构升级","kimi-k3-latentmoe-kda-attnres-nope","2026-07-30T00:30:00+00:00"]