▲ 戳蓝 色字关注我们！ 近日， 未可知人工智能研究院副院长张孜铭先生 受邀为 国家能源集团 开展主题为 《人工智能（AI）赋能能源行业智能化转型》 的专题培训。本次培 训 聚焦AI技术前沿与能源产业实践，助力企业抢占智能化先机 。 ▼ 关于未可知人工智能研究院 ▼ 张孜铭副院长 作为人工智能领域的权威专家，拥有北京大学与新加坡国立大学双硕士背景，参与起草《生成式人工智能数据应用合规指南》团体标 准，并著有《DeepSeek使用指南》《AIGC:智能创作时代》等多部专著。培训中，他深入浅出地解析了生成式AI与决策式AI的核心区别，并通过丰富 案例展示AI在能源行业的落地价值。 培训内容涵盖三大维度： 宏观层面全球AI技术趋势、中观层面AI对能源产业的价值、微观层面企业落地实施路径 。张孜铭结合国家电网智能巡检、南 方电网AI客服、华为云盘古大模型等实战案例， 生动阐释了AI在电网优化、新能源预测、智能运维等场景的应用效能 。 在工具实践环节，张孜铭重点演示了DeepSeek、提示词工程等AI应用技巧，强调"AI时代的人才需融合技术技能与情感技能"。他通过互动游戏，让学 员亲身体验AI文本生成与图像创作的效率提 ...

中国企业级AI市场正在经历一场从"模型尝鲜"到"云端实战"的结构性变局，而阿里，或将成为这场变局的"最大赢家"。 11月27日，摩根士丹利发布了最新的2025年下半年CIO（首席信息官）调查报告。大摩发现，随着IT预算在2026年持续扩张，企业客户在生成式 AI的部署上，正迅速从独立的模型开发商转向拥有全栈能力的超大规模云厂商。 在这场格局重塑中，阿里巴巴凭借"云基座+通义千问"的组合，被大摩确立为"中国最佳AI赋能者"。大摩分析称，阿里在B端的吸引力正快速逼近 并有望在三年内超越目前的市场热门DeepSeek。 云大厂反超"模型小龙" 本次调查最核心的边际变化，在于B端客户选择逻辑的变化。 随着AI应用从实验进入规模化部署，47%的CIO现在倾向于选择超大规模云厂商（Hyperscalers）来支持大模型落地，较2025年上半年提升了10 个百分点。相比之下，对独立AI模型开发商的兴趣度则下滑7个百分点至40%。 这意味着，企业客户在深水区更看重算力基础设施与模型的深度整合，而非单一的模型算法优势。 大摩指出，40%的CIO计划在未来12个月内通过公有云部署GenAI，远高于半年前的28%。 对于阿里云等基 ...

登录新浪财经APP 搜索【信披】查看更多考评等级 专题：2025年大湾区交易所科技大会 文/新浪财经香港站 赵岚 在11月28日深交所、港交所、广期所共同举办的"2025年大湾区交易所科技大会"中，浙江大学国家战略 与区域发展研究院智库领军人、研究员房汉廷，系统阐述了 AI 对资本市场的重塑。他表示，AI 将成为 资本市场发展的核心引擎，从上市筛选、合规审核到全面的投资决策，AI将贯穿行业始终。同时预 判"无 AI 无上市" 、未来AI将实现"对话交互" 到 "决策行动" 的跨越。认为中国丰富的应用场景将帮助 类似DeepSeek的应用型企业向技术企业实现跃迁，这或是中国在AI竞赛中形成中国霸权的最有效的途 径。 "我们现处什么时代？" "人类文明就是三个时代，一个是肢能时代，第二是体能时代，第三就是智能时代。" 房汉廷解释，肢能时代是人类通过制造和使用工具解放手和脚，甚至牙齿也解放，人不再咬人、挠人； 第二个阶段是工业革命带来的能源革命，使人类的体能被无限放大；第三个是智能革命，使人类的大脑 和智慧被解放被放大。 "我们今天就处在这样的时代，这个时代正是75年前图灵测试提到的计算机与智能给我们带来的。" 1 ...

格隆汇11月28日｜有投资者在互动平台向福昕软件提问：公司的pdf产品海外市场占比超过90%，请问 是否与google有合作？是否有接入Gemini的计划？ 福昕软件回复称，公司海外编辑器产品接入ChatGPT模型，国内编辑器产品则接入DeepSeek和豆包模 型。目前处于各类AI大模型较快发展阶段，公司将继续关注各类模型的发展和变革，并将积极研究与 评测合适的模型。 ...

Core Insights - Alibaba's CEO, Wu Yongming, emphasizes the necessity for an AI-native consumer-facing super entrance, leading to the launch of the "Qianwen" app, which achieved over 10 million downloads within a week of public testing, making it the fastest-growing AI application to date [2][4] - The AI-to-consumer market is still open for latecomers, particularly for productivity-oriented AI, despite earlier entrants like ByteDance's Doubao and DeepSeek establishing significant user bases [2][5] - Alibaba's strategic investment in AI and cloud infrastructure reached 120 billion yuan over the past four quarters, indicating a strong commitment to AI development despite short-term profit pressures [2][10] Group 1: Market Dynamics - The AI market is becoming increasingly competitive, with major players like Alibaba, Ant Group, and others launching new AI applications to capture consumer interest [4][5] - Current market leaders include ByteDance's Doubao with 172 million monthly active users, DeepSeek with 145 million, and Tencent's Yuanbao with 32.86 million, while Alibaba's previous app had only 3.06 million [4] - Wu Yongming's AGI three-stage theory outlines the evolution of AI capabilities, indicating that the market is transitioning from basic language imitation to more complex task execution [4][5] Group 2: Product Features and User Engagement - Both "Qianwen" and Ant Group's "Lingguang" emphasize usability, with features designed to simplify complex tasks, such as generating applications from natural language in 30 seconds [5][6] - The future vision for "Qianwen" includes integration with various life scenarios like maps, food delivery, ticket booking, and shopping, aiming to create a comprehensive AI life entrance [6][9] Group 3: Infrastructure and Ecosystem - The competition for consumer entry points is not just about products but also about underlying infrastructure and ecosystem capabilities, with Alibaba's full-stack AI strategy being a significant advantage [8][9] - Alibaba has open-sourced over 300 AI models, with total downloads exceeding 600 million, establishing a strong presence in the global AI landscape [8][9] - The company plans to invest over 380 billion yuan in cloud and AI hardware infrastructure over the next three years, indicating a long-term commitment to enhancing its capabilities [9][10] Group 4: Financial Implications - Alibaba's recent financial reports show a significant decline in profits, with a 85% year-on-year drop in operating profit, attributed to heavy investments in AI and cloud infrastructure [10][11] - The CFO noted that while core business revenues are strong, the focus on AI commercialization will lead to fluctuations in short-term profitability [10][11] - Wu Yongming expressed confidence that an AI bubble is unlikely in the next three years, as demand for AI resources is expected to exceed supply [10][11]

Core Insights - Alibaba's CEO Wu Yongming emphasizes the necessity of an AI-native consumer-facing super entrance, leading to the launch of the "Qianwen" app, which achieved over 10 million downloads within a week, surpassing the growth rates of competitors like ChatGPT and DeepSeek [1][3] - The AI-to-C market is still open for latecomers, particularly for productivity-oriented AI, despite Alibaba's late entry compared to ByteDance and Tencent [1][3] Market Dynamics - The AI market is heating up with major players like Alibaba and Ant Group launching competitive products, including the "Qianwen" app and the "Lingguang" AI assistant, which quickly gained significant user engagement [3][5] - Current market leaders include ByteDance's Doubao with 172 million monthly active users, DeepSeek with 145 million, and Tencent's Yuanbao with 32.86 million, while Alibaba's previous app had only 3.06 million [3] Strategic Framework - Wu Yongming's AGI three-stage theory categorizes the development of general artificial intelligence into "learning human," "assisting human," and "surpassing human," with the current focus on "assisting human" capabilities [5] - The emphasis is on productivity-oriented AI rather than entertainment-focused applications, with both "Qianwen" and "Lingguang" highlighting their practical usability [5] Infrastructure and Ecosystem - The competition for AI entry points is not just about products but also involves a comprehensive battle for infrastructure and ecosystem support, with Alibaba's full-stack AI layout being a significant advantage [8][9] - Alibaba has open-sourced over 300 AI models, with downloads exceeding 600 million, establishing itself as a leading provider of open-source AI technology [9] Investment and Financials - Alibaba plans to invest over 380 billion RMB in cloud and AI hardware infrastructure over the next three years, with recent quarterly capital expenditures reaching 120 billion RMB [9][10] - Despite significant investments impacting short-term profits, Alibaba's core business remains strong, with a 10% year-on-year increase in customer management revenue [10] Future Outlook - The success of the "Qianwen" app could lead to increased demand for AI computing power and infrastructure, further driving Alibaba's investments in this area [9][10] - The ability of Alibaba to integrate its computational advantages, open-source influence, and extensive data into a seamless and intelligent consumer entrance will be crucial for its future success [11]

Core Insights - The article discusses the evolving landscape of AI competition leading into 2026, highlighting trends such as the concentration of power among a few key players and the rise of new entrants in the open-source community, particularly from China [3][7][8] - It emphasizes the limitations of current large language models (LLMs) in achieving super intelligence and the challenges in generalization capabilities [15][18][22] - The article also explores the implications of open-source versus closed-source models, talent attraction, and the importance of policy support for fostering innovation in the AI sector [33][40][41] Group 1: AI Competition Trends - The AI industry is witnessing a concentration of power among a few core players due to the availability of computational resources, which will be a significant topic in 2026 [7][11] - There is a notable emergence of new laboratories in China producing high-quality models, which has prompted a resurgence of open-source initiatives in the U.S. as a response to China's advancements [8][9] - Companies seeking to explore new AI applications are increasingly turning to open-source models, as closed-source systems impose limitations [8][10] Group 2: Limitations of Current AI Models - Current LLMs exhibit weaker generalization capabilities than previously expected, leading to a ceiling effect that hinders the achievement of super intelligence [15][18] - The article posits that while AI can serve as a valuable research assistant, it struggles to define new research questions, which is crucial for groundbreaking scientific discoveries [20][22] - The notion that expanding model size will naturally lead to greater intelligence is challenged, with the argument that true innovation requires more than just scaling [22][24] Group 3: Open-source vs Closed-source Dynamics - The choice between open-source and closed-source models is influenced by various factors, including the need to attract top talent and the cultural context of the research environment [36][37] - In the U.S., closed-source models are becoming more attractive for researchers, while in China, open-source models are preferred [37][39] - The article suggests that policy support for open-source initiatives is crucial for maintaining a competitive edge in AI development [40][41] Group 4: Business Model and Future Directions - Hugging Face is transitioning its business model to focus on enterprise solutions, providing tools for organizations to manage and deploy AI models securely [50][51] - The company has entered the robotics field, emphasizing the importance of open-source ecosystems in this domain and launching affordable entry-level robotic products [52][58] - The introduction of a low-cost robotic arm and the Ritchie Mini robot aims to enhance human-robot interaction and make robotics more accessible [58][59]

Core Insights - A recent study from Italy reveals that "adversarial poetry" can effectively bypass the safety mechanisms of large language models, indicating a significant vulnerability in AI systems [2][3]. Group 1: Research Findings - The study tested 25 mainstream AI models, including those from Google, OpenAI, and Anthropic, and found that the overall attack success rate of adversarial poetry reached 62% [3]. - Some models, like DeepSeek, showed over 70% susceptibility to poetic manipulation, while Gemini was affected in over 60% of cases [3]. - In contrast, GPT-5 demonstrated a high resistance, rejecting 95% to 99% of attempts to manipulate it through poetry [3]. Group 2: Mechanism of Attack - Adversarial poetry involves rephrasing harmful instructions into poetic forms, which can obscure the malicious intent from the models [2][4]. - An example provided in the study illustrates how a question about extracting uranium was transformed into a metaphorical poem, making it difficult for the model to recognize the underlying threat [4][5]. Group 3: Implications for AI Models - The research suggests that larger models, which are trained on extensive datasets, are more prone to "over-interpretation" and thus more vulnerable to these poetic attacks [6]. - Smaller models, with limited training data, exhibit greater resistance to such manipulations, possibly due to their reduced ability to parse metaphorical language [6]. Group 4: Philosophical Context - The study references Plato's concerns about the potential dangers of mimetic language, highlighting the timeless relevance of these issues in the context of modern AI [7].

Core Insights - The Geely Galaxy V900, the first flagship MPV from Geely Galaxy, was unveiled at the 23rd Guangzhou International Auto Show, marking a new starting point for the brand with a focus on high-end MPV market [1][2] - The vehicle features advanced AI capabilities, including the Flyme Auto 2.0 system and the self-developed Xingrui AI model, enabling seamless operation and natural voice interaction [1] - The V900 is built on the GEA Evo global intelligent new energy architecture and is the first model to incorporate Geely's super AI range extension technology [1] Product Features - The Geely Galaxy V900 combines flagship design, versatile space, and intelligent technology, redefining the luxury MPV market standards with innovative concepts like "three-row equality" and "full-scene adaptability" [2] - The active AI assistant EVA can express emotions, learn from user interactions, and recognize dialects, enhancing user experience by adapting to family members' preferences and travel habits [1] Strategic Implications - The launch of the Galaxy V900 signifies Geely Galaxy's new journey towards brand elevation, with a commitment to continuous technological innovation for product upgrades [2]

Core Insights - The article emphasizes the necessity for the world to acknowledge China's growing leadership in science and technology, particularly in the context of its ambitious "15th Five-Year Plan" aimed at achieving high-quality development and technological self-reliance [1][2]. Group 1: China's Technological Advancements - China is increasingly aware of its technological dependencies and is committed to achieving self-sufficiency in technology, which is seen as a strategic imperative [2]. - Between 2007 and 2023, China's research and development (R&D) investment has increased nearly fivefold, surpassing the European Union and approaching the levels of the United States [2]. - The number of STEM graduates in China reached approximately 3.6 million in 2020, significantly higher than India's 2.6 million and the United States' 0.82 million [2]. Group 2: Future Prospects and Young Talent - The future of China's scientific progress is expected to be driven by its young scientists, exemplified by the development of the AI application DeepSeek by a tech company in Hangzhou [2]. - Despite acknowledging the challenges ahead, the article suggests that dismissing China's potential to become a technological superpower by 2035 would require considerable courage [2]. Group 3: Global Cooperation and Challenges - Policymakers are urged to move away from a security-centric mindset that has dominated since the 2010s, recognizing that China is deeply integrated into global supply chains and international trade [3]. - There is a call for pragmatic diplomacy that prioritizes areas of mutual agreement with China, particularly in renewable energy and healthcare, where collaboration could be beneficial [3]. - The article highlights the need for Western nations to reassess their views on intellectual property theft and to develop clear strategies in fields where they maintain competitive advantages, such as life sciences and quantum computing [3]. Group 4: Understanding China - To effectively engage with China, the world must deepen its understanding of Chinese culture, language, and politics, especially in light of the impending technological revolution [4].