20小时前微软发布Project Zenith，支持本地运行大模型微软于 2026 年 9 月 4 日正式推出代号为 Project Zenith 的全新 Windows 开发者体验，面向配备至少 64GB 统一内存和 250GB/s 带宽的高端 AI PC，支持在本地无计量运行 300 亿参数以上的大模型，并预装 VS Code、WSL、GitHub Copilot CLI 等工具，首批将随 AMD Ryzen AI Halo 设备登陆市场，被视为微软在“本地 AI PC”与开发者生态上的重要布局。8 来源发布概况：Project Zenith 正式亮相，瞄准本地大模型开发5 来源硬件与软件特征：统一内存 + 预配置工具支撑 30B+ 本地模型5 来源对开发者与工作流的影响：从云到本地的算力迁移5 来源行业意义与展望：本地 AI PC 时代的策略支点6 来源本内容由AI生成

8小时前苹果明年推AI家庭安全监控服务多家科技媒体消息称，苹果正在筹划一项全新AI驱动的“家庭安全监控服务”，以隐私优先的自研安防摄像头为核心，结合Home应用与Apple Intelligence的智能视频描述和自然语言检索功能，最快有望在明年上线，而相关高级功能预计将与2TB及以上档位的iCloud+订阅深度捆绑，目前苹果尚未正式公开这一计划。12 来源苹果被曝筹划AI驱动家庭安全监控服务，最快明年上线5 来源核心产品：隐私优先的智能安防摄像头与云端监控平台5 来源订阅模式与设备生态：与iCloud+和Home应用深度捆绑9 来源市场格局与隐私争议：苹果如何挑战传统家庭安防玩家9 来源本内容由AI生成

5小时前小米发布结构化数据大模型Xiaomi-TabLDM2026年9月5日，小米宣布推出面向结构化数据场景的大模型“Xiaomi-TabLDM”，补齐其在企业级表格与业务数据智能方向的版图。

这一新品与此前已开源的推理大模型 Xiaomi MiMo 以及多模态 MiMo-V2/V2.5 系列共同构成小米从通用推理到跨模态执行再到结构化数据分析的完整大模型家族。7 来源发布背景与小米大模型矩阵5 来源技术路线：从推理到结构化数据智能5 来源典型应用场景与“人车家”生态的联动2 来源行业影响与后续展望4 来源本内容由AI生成

53分钟前微软发布 MAI-Image-2.6-Flash，生图速度全球最快微软正式推出旗舰文生图模型家族的高速新成员 MAI-Image-2.6-Flash，该模型在 Arena AI 图像编辑榜单上位居第 3，主打在接近 MAI-Image-2.6 图像质量的前提下大幅提升生成速度和降低调用成本，并延续 MAI-Image-2.6 在文生图排行榜仅次于 GPT-Image-2、领先谷歌和 Meta 等竞争对手的格局。2 来源发布概况：MAI-Image-2.6-Flash 亮相，接棒 2.6 家族的高速版1 来源性能与速度：从 2.6 榜单战绩到 Flash 的“质价比”优势2 来源应用与集成：从 Arena 和 Foundry，到 Office 与云端场景1 来源行业意义与展望：微软在图像生成赛道的“高速第二名”2 来源本内容由AI生成

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我想邀约你，和我一起回到我的家乡，和我一起感受这片我爱的土地。 这是一次限定的跨年邀约，同时也是一场难忘的冰雪之旅。虎嗅F&M创新节往期回顾2025虎嗅F&M创新节一次聚焦新商业、新消费与AI原生变革的沉浸式节日化体验智库·AI落地研学营报名已结束AI落地研学营-零售消费班参访研学8-12家AI落地典型企业，与决策者面对面，学习10+最新AI应用落地案例。出海·502线下闭门会往期回顾活动已结束出海·502线下闭门会系列虎嗅「出海•502线下闭门会」面向企业决策层，打造纯粹、高端的行业交流场合，是一次实战经验复盘，更是高价值人脉链接的机会。大鲸AI峰会往期回顾精彩回顾大鲸AI峰会 · 零售消费专场聚焦AI应用落地与零售业的最强碰撞。

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AI NEWSLatest AI NewsArticleChina’s First AIGC Long Drama ‘The Later Journey to the West’ Premieres Today, Also the First Series to Be Reviewed and Broadcasted SimultaneouslyPublished in Latest AI NewsTime :Aug 31, 2026Read :4minuteThe country’s first AIGC long drama, “The Later Journey to the West,” officially premiered on August 31 at 18:00. The first segment, “Flower Fruit Mountain Chapter,” consists of 5 episodes, each 40 minutes long. The drama is not only available on Mango TV, but also aired on Hunan Satellite TV’s prime time slot at 20:00 on the same day. SVIP members can watch 3 episodes in advance, while VIP members can watch 2 episodes in advance.Reconstructing the Original 40 Chapters into “The Later Journey to the West"This mythological seasonal drama is adapted from the homonymous novel written by an anonymous author during the late Ming and early Qing dynasties. The first season consists of 30 episodes. As one of the three major continuations of “Journey to the West,” the original story tells about the misunderstanding of the true scriptures and the reuniting of the “second generation of the journey to the West” for another pilgrimage. The series deeply integrates the framework of the 40 chapters and the original plot hints, building a complete narrative system of “The Later Journey to the West.“The story begins 1,080 years after Sun Wukong was deified: the true scriptures once obtained gradually became damaged and misinterpreted, and the Flower Fruit Mountain, where the Monkey King was born, once again gave birth to a small stone monkey named Sun Xiaosheng. The “Ten Elders,” whose names had been erased from the Book of Life and Death, mysteriously disappeared during a ceremony, causing great crisis in the Flower Fruit Mountain. Sun Xiaosheng investigated the truth behind the “Book of Life and Death failure,” went through various trials in the underworld and the heavenly palace, and eventually met Tang Banji, Zhu Yizhi, and Sha Mi, embarking on a second journey westward to recover the true scriptures.It is also the first drama to adopt the “review while broadcasting” model following the release of the “21 Guidelines” by the State Administration of Radio, Film, and Television. This innovative approach involves producing, reviewing, and broadcasting simultaneously, which shortens the cycle from content creation to broadcast, and allows the creators to dynamically optimize plot details based on review comments and audience feedback.

AI NEWSLatest AI NewsArticleiFLYTEK to Launch Spark X2.5 General Large ModelPublished in Latest AI NewsTime :Aug 31, 2026Read :2minuteAccording to the latest official announcement, iFlytek will officially open-source two edge-side general large models, Xinghuo X2.5-4B and Xinghuo X2.5-1.7B, on September 1st. Both models support a context window of up to 1 million tokens natively. They have achieved significant improvements in core dimensions such as intelligent agent interaction, mathematical computation, and basic general understanding, and will provide strong model support for edge-side scenarios including in-vehicle terminals, smart hardware, and the Internet of Everything.Following the open-sourcing of the edge-side models, iFlytek also plans to officially release the Xinghuo X2.5 base model with a scale of 293B on September 7th. This version will further deepen the upgrade of core technologies such as code generation and intelligent agent collaboration. Previously, during the company’s mid-year performance briefing in 2026, it was mentioned that at this year’s Global 1024 Developer Festival, a new main general large model based on fully domestic computing power will also be launched, continuing to promote the independent innovation of underlying technologies.

AI NEWSLatest AI NewsArticleDeepSeek’s First Open-Source Multimodal Model Has Arrived: These Eyes Are Not for Humans to View, but Specifically for Agent WorkPublished in Latest AI NewsTime :Sep 1, 2026Read :5minuteDeepSeek has launched DeepSeek-V4-Flash-Vision-Exp on Hugging Face, the first experimental multimodal model in the V4 family, released under the MIT License. The model has 305B parameters and is based on the V4-Flash-0731 foundation. It integrates a visual encoder and an Aligner into the original language model, gaining image understanding capabilities through continuous training.Not “Describing Pictures,” Focused on Multimodal AgentDiffering from traditional multimodal models that focus on visual question answering, DeepSeek has set a new direction for this Vision version: the official emphasizes the multimodal agent capability, allowing agents to directly read visual information such as web screenshots, software interfaces, and charts, and then execute tasks by calling tools. In other words, this “eye” is not for human use but for the agent.The open-source content is quite complete, including model weights, Tokenizer, Prompt Encoding reference implementation, and a minimal PyTorch inference implementation, covering core modules such as the visual encoder, Aligner, DFlash Attention, MoE, and Hyper-Connections. The community responded quickly, with seven quantized versions already available on the Hugging Face page for llama.cpp, LM Studio, and Ollama.There are also notable details in the timeline: On August 21, the model was first launched on the DeepSeek API, at that time only accessible via API without providing weights. Developers could input text and images simultaneously through the API, with images charged by token. Ten days later, the weights were officially opened, making local deployment and secondary development possible. This “sell API first, then open source” approach also reveals DeepSeek’s positioning as primarily an API service.Performance Approaching Claude Opus 4.8, Official Language Remains ModerateFrom the benchmark results, the pure text agent capabilities after adding visual abilities remain largely unaffected: Terminal Bench 2.1 increased from 82.7 to 83.9, and DeepSWE increased from 54.4 to 59.3, even surpassing Opus 4.8’s 58.0. The improvement of the multimodal agent is more significant: ApexBench Pass@1 reached 36.5, Agents’ Last Exam achieved 27.3, exceeding Opus 4.8’s 25.7, and ZeroBench Pass@5 reached 35.0, surpassing the opponent’s 34.0.However, DeepSeek did not claim “comprehensive superiority”: on the NL2Repo project, its score was 57.7, far behind Opus 4.8’s 69.7. The official statement remains moderate, stating only that “multimodal agent capabilities are close to Claude Opus 4.8.” Looking at recent updates, DeepSeek is assembling a complete agent technology stack: the model handles reasoning and tool calls, Harness manages continuous task execution, and Vision allows agents to directly read visual information from the computer. This open-source release is a key move in completing this puzzle.