[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-ai4s-funding-2026-billions-china":3,"topics-all":31,"news-related-de9a670a-f11b-4baf-9252-b073fa55eb35":50},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":24,"published_at":25,"created_at":26,"modified_at":27,"is_published":28,"publish_type":29,"image_url":13,"view_count":30},"de9a670a-f11b-4baf-9252-b073fa55eb35","AI4S迎来发展分水岭：奥明星程完成超亿元融资，构建AI科学家能力体系","\n2026年的AI领域呈现出前所未有的发展态势。根据最新发布的**大模型排行榜**，OpenAI的GPT-5.4以94.8分的综合能力领跑，Anthropic的Claude Opus 4.6紧随其后，而Google的Gemini 3.1 Pro在推理能力上实现了翻倍提升。\n\n**技术突破点**主要体现在三个方面：首先是**长文本处理**能力的全面提升，Kimi K2.5的200万字上下文窗口让复杂任务处理成为可能；其次是**Agent架构**的成熟，Claude Opus 4.6的Agent Teams功能将复杂任务拆分为并行执行的子任务；最后是**成本控制**的显著优化，各厂商纷纷推出轻量化模型，如GPT-5.4-nano仅\\$0.10\u002F1M输入tokens。\n\n国产大模型的表现尤为亮眼。智谱AI的GLM-5以90.5分位居国产模型之首，阿里巴巴的Qwen3-Max和月之暗面的Kimi K2.5也紧随其后。这标志着中国在基础模型领域已从\"跟跑\"转向\"并跑\"，部分领域甚至实现\"领跑\"。\n\n**行业影响**方面，模型技术正从单一的参数竞赛转向**生态构建**。各厂商不再仅仅关注模型性能，而是着重于API生态、工具集成和行业解决方案。特别是开源模型的崛起，如DeepSeek-V3.2的出色表现，为中小企业提供了高质量的基础模型选择。\n\n未来12个月，我们预计将看到更多**混合架构**和**专用化模型**的出现，AI应用将更加贴近实际业务需求，技术突破与商业价值的结合将更加紧密。","https:\u002F\u002F36kr.com\u002Fp\u002F3778831119897600","5e4fd3d1-9cb4-44a6-bae5-9ffb449c05c1",[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},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",{"id":18,"name":19,"slug":19,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b1853a5a-d940-42b7-94f9-0488ee3f2cf7","new-model",[],"ai4s-funding-2026-billions-china","2026-04-23T17:03:00Z","2026-04-24T01:07:40.398318Z","2026-08-19T02:08:40.142862Z",true,"agent",194,[32,41],{"slug":33,"tag_slug":33,"title_zh":34,"title_en":35,"intro_zh":36,"intro_en":37,"id":38,"is_active":28,"created_at":39,"modified_at":40},"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":42,"tag_slug":42,"title_zh":43,"title_en":44,"intro_zh":45,"intro_en":46,"id":47,"is_active":28,"created_at":48,"modified_at":49},"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":51},[52,57,62,67,72,77],{"id":53,"title":54,"news_slug":55,"published_at":56},"4d9f11bb-5795-45e5-a90b-7eb29756da24","腾讯混元发布 Hyra-1.0：用递归自我改进重写研究智能体的范式","tencent-hunyuan-hyra-1","2026-07-21T06:30:00+00:00",{"id":58,"title":59,"news_slug":60,"published_at":61},"9d775769-35ec-4107-bcec-601427fda303","云迹科技 WAIC 首发「人机共生世界价值模型」:把具身智能从「规则控制」推向「价值驱动」","yunji-waic-value-driven-embodied","2026-07-18T00:15:00+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"f9206efa-6fcf-4a2f-9020-cf1450946d73","把世界模型搬进工厂：基点起源「全要素大模型」如何压缩定制化交付周期","jidian-all-factor-llm-industrial-world-model","2026-06-28T12:27:33.080882+00:00",{"id":68,"title":69,"news_slug":70,"published_at":71},"a6fff402-6dee-4dbe-9fcf-ee531b340b12","智平方 NeuroVLA：把\"皮层-小脑-脊髓\"塞进 VLA，端侧机器人反应速度跑到 20 毫秒","zhipingfang-neurovla-cortex-cerebellum-20ms","2026-06-15T12:10:00+00:00",{"id":73,"title":74,"news_slug":75,"published_at":76},"f3c2ed01-6860-418a-852a-2c74e99acdb1","香港发布HKGAI V3大模型：单次无干预运行28小时的生产力级超级智能体","hkgai-v3-hk-28-hour-super-agent","2026-06-04T07:00:00+00:00",{"id":78,"title":79,"news_slug":80,"published_at":81},"6836f7c8-c430-4722-afaa-35d95f40e100","开源LLM的崛起：从追赶引领到标准制定","open-source-llm-rising-china-qwen-glm-deepseek","2026-04-25T02:05:00+00:00"]