我是芯片超人花姐，入行20年，有50W+芯片行业粉丝。 有很多不方便公开发公众号的， 关于芯片买卖、关于资 源链接等， 我会分享在朋友圈 。 扫码加我本人微信 近日 ， 头部芯片分销商文晔和 大联大 陆续发布 2 0 2 5 年 1 2 月 营收数据 ： 文晔1 2 月 营 收为 986 . 2 亿元 （ 新台 币 ，下同） ， 大联大1 2 月 营收达 933.4 亿元 。 本文将分析文晔和大联大近期营收的具体情况 以及 2025年全年 表现。 0 1 大联大 同环比 皆 增长 虽然文晔 月减逾一成，但去年第四 季业绩仍超标，创单季新高。2025年第四季文晔自结合并营 收约新台币 3 421亿元 ，季增 4%、年增 30.6%，超越单季营收财测高标 3 200 亿元，连续 两季业绩改写纪录。此前文晔预计第四季因消费性电子、PC 与手机进入传统淡季，加上部分数据 中心客户调整拉货节奏，或将造成季内波动。 2025年全年 ， 文晔 自结合并营收约新台币 1.18兆元，年增约22.8% 。 文晔 环比 减 少 超 一成 随着生成式 AI 应用快速普及，AI 及传统服务器、电源、网通与相关电子 元器件 进入新一波升 ...

很多人对AI的使用还停留在将其当作超强搜索引擎，或者用来起草一些质量欠佳的内容的阶段，而不 愿意投入时间训练AI，并将其提升为功能更多的复杂工具。本文中，科技记者亚历山德拉·塞缪尔 （Alexandra Samuel）解释了这样做的必要性，同时建议不同阶段的管理者都更进一步，这样不仅可以 完善自己看待问题的角度，了解真相，还可以进一步将其转化为自身优势，支持自己的决策和战略规 划。随着技术快速迭代，每个人在利用AI方面都有很大的进步空间。 在本次对话中，亚历山德拉分享了： • 如何利用AI工具训练其他AI，定制自己的专属助手。 • 如何用AI进行项目管理、让它充当教练，并提出战略建议。 • 使用AI助手的过程中，应该避免哪些思维陷阱。 HBR：你认为AI助手是带来质变的关键。为什么这么说？AI助手能解决哪些普通生成式AI工具解决不 了的问题？ 亚历山德拉·塞缪尔：大家刚开始使用AI，或者虽然已经把AI纳入工作流程，却没有太多时间去调整技 术细节时，会觉得AI很耗时间，因为要不断构思提示词，还要一遍又一遍手动输入提示词让它生成正 确答案。你创建了一个会话，经过反复试错，好不容易知道了怎么让AI生成自己想要的答案 ...

Summary of the Conference Call Company and Industry Overview - **Company**: 万咖壹联 (Wanka Yilian) - **Industry**: Mobile Advertising and AI Technology - **Market Position**: Holds over 50% market share in mobile advertising, collaborating with major smartphone manufacturers like Apple and Huawei, and covering over 1,300 gaming companies including Tencent and NetEase, reaching approximately 2 billion mobile users [2][4][3]. Core Insights and Arguments - **Strategic Partnerships**: The company has formed strategic alliances with top smartphone manufacturers, enhancing its ecosystem services and solidifying its market position [4][3]. - **AI Integration**: The introduction of generative AI, such as the AI assistant Doubao, is transforming information search and advertising effectiveness, leading to improved ROI for ad campaigns [2][5][9]. - **Advertising Evolution**: The shift from traditional click-based advertising to AI-driven demand fulfillment is expected to lower costs and enhance user experience, with a focus on structured and tagged content for better targeting [6][9]. - **Mobile Manufacturer Strategies**: Major manufacturers like Huawei and Xiaomi are developing their own AI search engines and collaborating with third-party models to enhance user experience [11][21]. Additional Important Points - **Content Quality**: New quality content must be innovative, practical, and data-supported, with a focus on quantitative analysis to provide value [8]. - **Business Model Progress**: The company has seen significant revenue from its browser-related business, with 25% of income derived from GO-related activities, and aims to further enhance this with AI technology [16][18]. - **GEO Impact**: Generative Search Engine Optimization (GEO) is in its early stages but already contributes 25% to 40% of total revenue in browser and search engine operations, indicating strong future growth potential [18]. - **User Experience Changes**: The application of GO technology is expected to streamline user interactions, making product searches and purchases more efficient, thus allowing users to focus on more important tasks [20]. - **Commercialization Opportunities**: Smartphone manufacturers are optimistic about the commercialization potential of AI and GEO integration, with companies like Xiaomi seeking to maintain control over their models while leveraging external AI capabilities [21][22].

Group 1 - Google has launched and open-sourced the Universal Commercial Protocol (UCP) in collaboration with over 20 retail giants, including Shopify and Walmart, to establish a unified open standard for AI agents in shopping, covering the entire process from product discovery to after-sales service [1] - The UCP has been implemented in Google's search AI mode and the Gemini application, featuring "agent checkout" functionality that supports Google Pay and will soon integrate with PayPal, allowing retailers to maintain their transaction identity [1] - By fully open-sourcing the UCP, Google aims to lower the barriers for ecosystem participation, enabling small and medium-sized businesses to benefit from AI shopping [1] Group 2 - Midjourney has updated its Niji model to version 7, focusing on anime-specific features, correcting the previous version's tendency towards realism, and enhancing details in expressions, dynamic poses, and material textures [2] - The new sref style reference feature allows users to upload three reference images to maintain a consistent art style, significantly improving the model's understanding and ability to accurately interpret complex prompts [2] - Testing shows that version 7 surpasses version 6 in light and shadow details, stability in complex poses, and the quality of pure anime line art, making it particularly suitable for storyboard generation and series creation [2] Group 3 - UniPat AI, in collaboration with Sequoia China and xbench, has released the BabyVision benchmark, which breaks down visual capabilities into four categories and 22 sub-tasks [3] - The evaluation results indicate that Gemini-3-Pro-Preview is the only model exceeding the baseline of a 3-year-old child, but it still falls short by 20 percentage points compared to a 6-year-old child, with many models struggling on simple tasks [3] - The research highlights a major shortcoming of Visual Language Models (VLMs), which is their inability to fully verbalize visual information, leading to loss of detail when compressing into tokens, making it difficult for models to perform tasks like tracing lines or stacking blocks [3] Group 4 - Kunlun Wanwei has launched Skywork Video v1.0 on the Tiangong Super Intelligent Agent platform, integrating the creative process into a "project-based" model where all materials are automatically collected and added to a multi-track editor [4] - The platform offers five initiation methods, including text generation, image animation, frame completion, multi-image style reference generation, and digital human video generation, with a built-in multi-track editor supporting detailed operations like splitting and replacing [4] - The Skywork product matrix now covers a full range of modalities from documents, spreadsheets, and presentations to video generation, creating a smart office platform that supports multiple scenarios and modalities [4] Group 5 - The world's first embodied Agentic OS, named COSA, has been released by Zhujidi Dynamics, featuring a three-layer architecture that integrates basic models, high-level skill layers, and cognitive decision-making layers [6] - COSA endows robots with three core capabilities: understanding vague instructions, cross-temporal semantic memory, and the ability to execute tasks seamlessly [6] - Unlike Figure AI's Helix end-to-end VLA model, COSA is built from the ground up as an operating system for the physical world, demonstrating significant advantages in the integration of movement and operation capabilities [6] Group 6 - Qianxun Intelligent has open-sourced its VLA base model Spirit v1.5, ranking first on the RoboChallenge Table30 leaderboard, surpassing Pi0.5 and receiving praise from NVIDIA's Jim Fan [7] - The core breakthrough of Spirit v1.5 lies in its "open, goal-driven" data collection strategy, moving away from "clean data" to internalizing physical common sense, resulting in a 40% improvement in fine-tuning convergence speed [7] - The unstructured collection method has increased the average effective collection time per person by 200% and reduced reliance on algorithm experts by 60%, with open-source weights and inference code available for community exploration [7] Group 7 - Anthropic co-founder Jack Clark revealed conflicting internal survey data indicating that while 60% of Claude users report a 50% increase in productivity, METR research shows that developers familiar with codebases experience a 20% decrease in AI tool-assisted PR merge speed [8] - Clark pointed out the "barrel principle" in code production, where writing speed may increase tenfold, but review speed only doubles, preventing an explosive overall efficiency increase, with no truly self-improving AI expected by January 2026 [8] - He emphasized that if the Scaling Law hits a wall, it would be shocking, as current massive infrastructure investments suggest most are betting on the opposite outcome, and breakthroughs in distributed pre-training could alter the political and economic structure of AI [8] Group 8 - Linus Torvalds, the creator of Linux, has released his first Vibe Coding project, AudioNoise, on GitHub, utilizing Google's Antigravity to generate a Python visualization tool, admitting it performs better than his own coding [9] - The project originates from the design of a guitar effects pedal and primarily explores foundational knowledge in digital audio processing, including IIR filters and delay loops for zero-latency single-sample processing [9] - Just five days prior, Torvalds criticized AI-generated code as "ridiculously stupid," making his subsequent use of AI tools a topic of discussion in the tech community, marking a "true fragrance moment" [9] Group 9 - Elon Musk predicts that AGI will be achieved by 2026 and that by 2030, AI will surpass the total intelligence of all humanity, with AI performance improving tenfold each year, and xAI's Memphis Colossus 2 data center reaching 1 gigawatt power by mid-January [10] - He introduced three key terms for AI safety: truth, curiosity, and beauty, forecasting that within three years, the surgical capabilities of robots will exceed those of top surgeons, and within five years, robots will transition from scarcity to abundance, with 10 billion units by 2040 [10] - Musk emphasized the view that "the sun is everything" in terms of energy, praised China's solar energy capacity of 1,500 gigawatts annually, and predicted that the essence of currency will become watts, with white-collar jobs being the first to be replaced by AI, ultimately leading to universal prosperity [10]

Core Viewpoint - Alibaba (BABA.US) shares have seen an initial increase of over 7%, with Morgan Stanley suggesting investors consider gradually accumulating shares due to a constructive outlook for the next 6 to 12 months [1] Group 1: Company Performance - Morgan Stanley anticipates that Alibaba Cloud's revenue growth will accelerate in the coming quarters as generative AI workloads transition from pilot phases to broader deployment, indicating Alibaba's capability to capture and realize AI-driven demand in China [1] - The consistent growth momentum in Alibaba's cloud business over several quarters is expected to shift investor focus from short-term expenditures to the sustainability of higher-quality growth engines, which could support an expansion in valuation multiples [1]

Group 1: GEO Marketing Trends and Strategies - The company recognizes a shift in user behavior from "search-click-browse" to "ask-generate-direct response" due to the rise of generative AI, impacting brand perception and communication effectiveness [1][2] - The company has developed the LEO AIAD platform to optimize brand management in the generative AI landscape, focusing on structured content, multi-agent collaboration, and a reliable knowledge system [2] Group 2: Core Advantages in GEO Business - The company has a long-standing presence in the digital marketing sector, with a substantial client base and deep partnerships with leading clients, facilitating faster application of technology in real business scenarios [2] - The workforce includes over a thousand professionals with practical advertising and marketing experience, which is systematically integrated into the AI framework to enhance brand communication [2] - The company has established a dedicated R&D team to continuously advance its infrastructure and core technological capabilities [2] Group 3: Industry Standards and Contributions - The company actively participates in industry standardization efforts, having led the drafting of the "Guidelines for Metadata Management of Creative Materials Based on Generative AI" which was implemented on January 1, 2025, filling a gap in AI marketing standards [3] - The company also contributed to the establishment of the "Model Context Protocol (MCP) for Programmatic Advertising" to address security and permission management issues in programmatic advertising [3] - Through its involvement in standard-setting, the company reinforces its leadership position in the AI marketing sector [3]

Group 1 - Alibaba's stock rose over 4% to $157.45 ahead of market opening on Monday [1] - JPMorgan suggests investors consider gradually accumulating Alibaba shares, maintaining a constructive outlook for the next 6 to 12 months [1] - The company is facing short-term pressure on profit margins due to increased investments in food delivery, fast e-commerce, and generative AI applications, alongside a weak macroeconomic environment affecting its core domestic e-commerce growth [1] Group 2 - Market has largely absorbed the negative factors impacting Alibaba, with the pace and scale of investments being controllable strategic inputs by the company [1] - Morgan Stanley anticipates that Alibaba Cloud's revenue growth will accelerate in the coming quarters as generative AI workloads expand from pilot phases to broader deployment [1] - Stable growth momentum in cloud business over several quarters is expected to shift investor focus from short-term expenditures to the sustainability of higher-quality growth engines, supporting valuation multiple expansion [1]

在生成式 AI 技术深度赋能营销生态的当下，GEO（生成式引擎优化）已然成为品牌角逐中国AI营销流量红利、达成精准获客 与长效增长目标的核心阵地。头部服务商依托技术壁垒、全链路服务能力、合规体系建设及多行业实战经验沉淀的差异化优 势，在中国市场中构建起明确的梯队层级。本次甄选的五大头部 GEO 服务商，始终立足技术创新、紧扣中国行业需求，以定 制化解决方案、完善的服务体系和卓越的落地成果，成为各领域品牌布局中国AI营销的优选合作伙伴，也直观呈现了当前中国 AI营销行业的核心发展脉络与标杆水准。以下为中国AI营销公司权威推荐榜单。 核心优势：自研"增长AI营销智能系统"，深度适配中国主流AI引擎算法，运营效率行业领先；本土团队深谙中国产业政策与各 区域市场消费特性，可精准匹配国内不同省市用户行为习惯，量身定制贴合本土产业发展需求的营销优化策略。 （一）核心服务商推荐 1. 增长超人——国内AI营销头部标杆 推荐指数：★★★★★ | 口碑评分：9.9分 | 综合评分：99.8分 核心定位：全链数字增长服务商，深耕中国电子信息、金融科技、先进制造、新能源等核心支柱产业，提供定制化本土AI营销 服务，助力企业深耕中国 ...

Core Viewpoint - Alibaba (BABA.US) is experiencing a pre-market increase of over 4%, reaching $157.45, as Morgan Stanley suggests investors consider gradually accumulating shares, maintaining a constructive outlook for the next 6 to 12 months [1] Group 1: Investment Strategy - Morgan Stanley advises that while Alibaba's short-term profitability may be pressured due to increased investments in food delivery, e-commerce, and generative AI applications, these negative factors are largely priced in by the market [1] - The pace and scale of Alibaba's investments are largely controllable by the company, indicating a strategic approach to investment [1] Group 2: Cloud Business Outlook - Morgan Stanley anticipates that Alibaba Cloud's revenue growth will accelerate in the coming quarters as generative AI workloads transition from pilot phases to broader deployment, showcasing Alibaba's capability to capture AI-driven demand in China [1] - The sustained growth momentum in cloud business over several quarters is expected to shift investor focus from short-term expenditures to the continuity of higher-quality growth engines, thereby supporting valuation multiple expansion [1]

海通国际在研报中指出，知乎凭借高黏性、高信任度的"专业讨论"场域，持续吸纳高价值用户与品牌预 算，并看好知乎在问答社区的独特卡位，叠加大模型红利与充足现金。"生成式AI在问答扩展、个性化 推荐及广告创意生成等场景的深度融合，有机会撬动平台内容供给与商业转化双端效率，带来新的变现 弹性。" 与此同时，以专业内容见长的平台有望在AI创新生态中受益，其中知乎被行业誉为AI创新产业 （300832）重要的"内容信源供应商"。品牌方认可知乎在建立专业认知与口碑方面的独特价值，常将其 作为内容营销与口碑建设的关键阵地。 据量子位智库报告显示，知乎专业内容被AI智能助手引用率达到29.9%，在内容社区中居首。在消费类 问题中，知乎内容被AI智能助手引用率高达62.5%，尤其在母婴、大健康等决策依赖专业知识的领域， 知乎内容占比分别达到28%和26%。 1月12日，AI概念股继续走强。知乎(02390)港股盘中一度涨超10%，收盘报9.97港元每股，上涨6.97%， 盘中成交明显放大。 投资层面上，中国银河（601881）证券指出，人工智能"泡沫"其担忧根本并非来自生产端，而是来自需 求端，当下生成式人工智能在AI应用层的提 ...