电影 《银河系漫游指南》中的巴别鱼 科幻小说《银河系漫游指南》里面有种叫巴别鱼的生物，可以突破传统翻译工具的物理限制，通过解析脑电波实现跨物种语言的即时互译。这个看似遥不 可及的幻想，如今在深圳一家名为时空壶的公司手中，正逐步走向现实。 时空壶是全球首创AI同传翻译耳机的公司，他们正在用技术打破人类之间的语言壁垒，让跨语言交流变得如同说同一种母语一样自然。从2016年创立至 今，他们的产品已销往全球170多个国家，并且在北美市场占据了40%的份额，用户突破百万。今年初，中国海关总署甚至将时空湖的W4 Pro同传翻译耳 机作为中国从"制造"到"智造"转型的代表展示给全世界。 随着大模型技术的发展，AI翻译正从简单的"直译"进化为理解语境、把握情感的"意译"。年初在拉斯维加斯举办的消费电子展（CES）上，时空壶发布了 翻译行业的首个人工智能同声传译系统Timekettle Babel OS （The Road to Babel Fish 通往巴别鱼之路），首次将大语言模型作为AI翻译的底层能力，打造 逼近母语的自然交流体验，赋能时空壶各终端硬件和软件应用。 其中"Babel"在希伯来语中的原意是"混乱"。《圣经》 ...

当中国最大互联网公司遇到一局上限足够高的新游戏，它可能试试就放过吗？ 文 丨 王与桐 程曼祺 编辑 丨 程曼祺 黄俊杰 面对 AI，字节依然是那个字节：一旦看到有潜力的方向，就加倍、饱和、全面出击。 一个最新例子是：智能体应用 Manus 出圈前后，字节已有至少 5 个团队在开发不同智能体产品，其中 有些是对内工具。Manus 是 3 月 6 日刚由创业公司 Monica 开始内测的智能体应用。 去年 11 月我们在一篇文章中说："中国掌握极强产品能力和流量资源的不止字节。微信还没出手呢。" 现在手握微信的腾讯终于出手，以出其不意的方式：全面接入 DeepSeek。 这对字节产生了更实质的影响。3 月 19 日腾讯总裁刘炽平在业绩会上说，从 2 月到 3 月，元宝日活 增长了 20 倍，排名中国 AI 应用第三。他没有说的前两名分别是 DeepSeek 和字节豆包。 仅用字节十分之一的时间和小得多的投放预算，腾讯的用户规模来到了豆包的约 1/5。 在中国所有大科技公司中， 字节本是大语言模型起步最晚的一家。在 2022 年底 OpenAI ChatGPT 上 线前，百度、华为、阿里、腾讯（按发布时间顺序）都已 ...

Core Insights - The company reported a revenue of HKD 4.114 billion for the fiscal year 2024, with the sports knowledge subscription platform generating HKD 2.59 billion, a year-on-year increase of 13.68%, accounting for 62.9% of total revenue [1] - The company's loss narrowed to HKD 14.7 million, a 32.2% reduction compared to the HKD 21.7 million loss in 2023, primarily due to increased other income and reduced selling expenses [1] Revenue and Growth - The sports knowledge subscription platform's revenue increased by 13.7% compared to the previous year [2] - The total user base of the platform rose by 21.4% to 106 million, with average monthly active users growing by 17.4% year-on-year [1] Strategic Initiatives - The company aims to diversify its digital sports entertainment business while addressing the competitive landscape and evolving consumer demands [1] - Significant resources have been allocated to R&D, leading to the launch of targeted products in the sports knowledge subscription sector, enhancing competitiveness and user retention [2] Market Expansion - The company is focusing on optimizing its business model in the sports and leisure gaming sector, reducing investment in lower-yield games, and leveraging existing IP for sports game distribution [2] - International expansion efforts have progressed, with successful localized testing in Southeast Asia receiving positive feedback from users [2] Brand and Community Engagement - The company has successfully hosted major events, including the WBC Professional Boxing Championship in Foshan, which garnered over 300 million views, significantly enhancing brand influence [3] - The company is committed to social responsibility by promoting fitness through various sports events, contributing to the development of a strong sports culture in China [1]

Core Viewpoint - Apple's decision to purchase approximately $1 billion worth of NVIDIA's GB300 NVL72 GPU cluster servers marks a significant shift in its AI strategy, acknowledging the advantages of the GPU ecosystem and generative AI paradigm over its self-developed chips [1][3][21]. Group 1: Apple's Shift to NVIDIA - Apple has historically relied on its self-developed chips, achieving great success with its Apple Silicon series in mobile and edge computing [3]. - The recent order for NVIDIA's GPUs indicates Apple's recognition of the GPU ecosystem's superiority in the generative AI space, driven by urgent market demands for high-performance computing [3][4]. - Analysts suggest that Apple plans to order around 250 NVL72 servers, with each server costing between $3.7 million and $4 million, totaling nearly $1 billion [3]. Group 2: Implications of Siri's Performance - Siri's declining competitiveness against rivals like Google Assistant and Alexa has prompted Apple to reassess its AI hardware strategy [4][5]. - The anticipated updates to Siri have been delayed, reflecting the challenges Apple faces in enhancing its AI capabilities [4][5]. Group 3: Generative AI and Market Dynamics - The rise of generative AI has redefined user expectations for intelligent assistants, shifting from simple command execution to intelligent collaboration [5]. - Apple's investment in NVIDIA GPUs is speculated to support the development of an Apple LLM, enhance Siri, and integrate AI into various applications [5][6]. Group 4: GPU vs. ASIC - The choice of NVIDIA's GPUs over self-developed ASICs highlights the critical importance of time and performance in the AI race, with NVIDIA's established ecosystem providing immediate solutions [8][16]. - NVIDIA's GPUs have become the de facto standard for training large language models (LLMs), showcasing their performance and ecosystem maturity [8][11]. - The high cost of NVIDIA GPUs, which have surged to $90,000 each, reflects their dominant market position, with NVIDIA reporting a revenue of $39.3 billion and a gross margin exceeding 70% [8][9]. Group 5: Future Outlook - Despite the current preference for NVIDIA GPUs, Apple may still pursue a hybrid strategy, utilizing NVIDIA for model training while relying on its own chips for inference [6][19]. - The ongoing competition between ASICs and GPUs suggests that while ASICs may face challenges now, they are not entirely out of the picture for future applications [19][21].

新加坡副总理王瑞杰周二表示欢迎 百度 (BIDU.US；9888.HK)将其萝卜快跑(Apollo Go)自动驾驶出租车服务 引入这个东南亚城市。此举可能成为百度自动驾驶出行服务全球扩张计划的重要里程碑。 另据媒体报道，知名投资人凯西·伍德(木头姐)近期增持了百度股票。百度是中国大语言模型和自动驾驶领 域的领军企业之一。 About Us Bamboo Works 咏竹坊 专注于报道中概股新闻。 用高质量的中英文内容帮助中国企业讲好中 国股事，触达全球投资者。 我们的报道也通过全球各大财经平台进行分发。日均触达200,000人次的全球投资者。 如需咨询，请联系 info@thebambooworks.com Bamboo Works is a premium business content provider with a strong focus on overseas listed Chinese companies. We provide high quality, in-depth coverage to help investors and others to better understand t ...

Core Viewpoint - The rise of DeepSeek is reshaping the AI industry in China, prompting startups to adjust their strategies towards application-focused development rather than foundational model training [1][2]. Group 1: Strategic Adjustments of Chinese AI Startups - Startups like Kimi, Zero One Universe, Baichuan Intelligence, and Zhipu AI are shifting resources towards application development and reducing spending [1][3]. - Zero One Universe, founded by former Google China head Kai-Fu Lee, has ceased pre-training of its models and is now focusing on selling customized AI solutions based on DeepSeek [4]. - Kimi is cutting marketing expenses to enhance model training and replicate DeepSeek's success, while also exploring monetization through user engagement [5]. - Baichuan Intelligence is concentrating on healthcare applications, specifically developing AI tools to assist in diagnostics for hospitals [5]. Group 2: Company Performance and Financials - Zhipu AI is attempting to establish its enterprise sales business, reporting a revenue of 300 million RMB (approximately 41 million USD) in 2024, with a loss of 2 billion RMB [6]. - Zhipu AI has around 800 employees, making it the largest LLM startup in terms of workforce, compared to DeepSeek's approximately 160 employees [6]. - There are indications that Zhipu AI aims for an IPO by the end of the year, but the development of DeepSeek may impact this goal [6].

引言 金融行业作为一个数据密集型产业，在技术与金融深度融合的时代，正面临着前所未有的机遇和挑战，人 工智能正以日新月异的迭代速度重塑行业格局。 其中，作为新一代开源大语言模型，DeepSeek凭借其低成本、高效推理能力和技术创新，为金融企业提 供了强大的技术支持，成为金融数据领域的重要变革因素。 LSEG Academy在3月6日举办了"新前沿：DeepSeek、AI与金融数据"网络研讨会。伦交所集团的专家诸 赞松和赵妍娜从 技术突破、应用场景、合规挑战及未来趋势 四方面，解析了DeepSeek如何推动金融数据 领域的智能化转型。 本文作者 Zansong Zhu 诸赞松 LSEG全球战略客户技术总监 Maggie Zhao 赵妍娜 LSEG亚太区金融科技风险情报业务负责人 Frank Ling 凌聿丰 LSEG高级客户学习经理 一、De epSe ek的核心技术优势 1. 开源战略构建全球生态系统 正是这种追求极致的工匠精神，DeepSeek将训练成本降至"白菜价"，极大地降低了私有化部署门槛，使得 我们今天中小企业也能够用得起顶级AI技术，推动了AI技术的普及和行业应用的广泛落地。 二、AI在金融行业的应 ...

这一年，D.E. Shaw 为计算机行业做了两个贡献。一个副总裁带队，做出了当时罕见的免费电子邮件产 品 Juno，成功上市；另一个副总裁离职，带着自己和老板讨论产生的好点子开车去了西雅图，做出了全 世界的电商鼻祖、市值超过 20000 亿美元的亚马逊。 30 年后，又有一家量化公司的 "副业" 影响整个计算机行业：管理数百亿元的中国头部量化公司幻方， 推出大语言模型 DeepSeek R1，没花一分钱营销就震撼全球，用户涌来的速度甚至快过早年的抖音。 贝索斯创办亚马逊，或者梁文锋造出 DeepSeek 的主要原因自然不是因为他们做过量化，而是因为他们 骨子里都是创业者。但量化投资这个极度追求人才密度且极度保密的行业文化，确实提供了适合大模型 研发的环境。 招来一群聪明人不必然导致创新，叠加一个简单的环境才够。量化公司证明了这一点，DeepSeek 则证明 这也适用于大模型研发。 剥离主观因素，在数据里挖掘规律 从十万次交易到千亿参数的 AI 进化。 文 丨 孙海宁 编辑 丨 黄俊杰 1994 年，量化公司是当时最神秘最热门的技术公司，他们雇用数学家和物理学家，成批买来高性能计算 机做交易。这个行业里的标杆公 ...

梦晨 发自 凹非寺 量子位 | 公众号 QbitAI Manus背后公司名为"蝴蝶效应"，真的带火了整个智能体赛道—— 开源复现潮出现了，商业闭源产品也卷起来了。 目前进度最快的两个项目，都是在Manus发布的第0天发布了复现代码。 除了 之前介绍的OpenManus 之外，另一个开源项目 OWL已经把DeepSeek模型整合到多智能体协作框架中 。 OWL来自国内开源社区 CAMEL-AI 团队。 | Documentation @ chat 1.5k online X Follow @CamelAlOrg 9 r/CAMEL 18 % WeChat OWLProject | | --- | | Hugging Face CAMEL-AI C Stars 3.9k License Apache 2.0 | | Results: Test Results: Validation | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | | Model | Average | Level 1 | . Level 2 | Level 3 < | Sub ...

Core Viewpoint - The government work report emphasizes the need for a balanced approach to economic growth, focusing on stability while promoting progress, amidst a complex external environment and internal challenges [2][4][3]. Group 1: Economic Situation Assessment - The report highlights that the economic recovery is solid, driven by macroeconomic policies, but acknowledges increased external pressures from geopolitical tensions and trade challenges [2][3]. - It identifies internal issues such as insufficient effective demand and difficulties faced by some enterprises, alongside new concerns regarding social welfare and local government finances [2]. Group 2: Development Goals - The economic growth target for this year is set at around 5%, consistent with previous years, aiming to balance short-term needs with long-term development goals [5]. - Employment targets remain at 12 million new urban jobs, with a focus on addressing structural employment issues, particularly among youth and migrant workers [6][7]. Group 3: Macroeconomic Policies - Fiscal policy is set to be more proactive, with a total fiscal space expanding to 13.86 trillion yuan, including a record deficit rate of 4.0% [9][10]. - Monetary policy will remain moderately accommodative, with an emphasis on maintaining liquidity and aligning social financing growth with economic growth and inflation targets [12][13]. Group 4: Key Initiatives - Consumer spending is prioritized as a key driver for economic growth, with initiatives to boost consumption through various measures, including a doubling of funds for old-for-new consumer goods programs [15]. - The report emphasizes the importance of technological innovation and industrial upgrades, particularly in emerging sectors like AI and quantum technology, to enhance productivity [16][17]. Group 5: Risk Management - The report outlines a focus on managing risks in real estate, local government debt, and small financial institutions, advocating for a gradual approach to risk resolution [23][26][27]. - Specific measures include controlling new real estate developments and enhancing transparency in local government debt management [24][26]. Group 6: Capital Market Outlook - The report indicates a shift in the A-share market from concept-driven to performance-driven dynamics, with a focus on technology sectors benefiting from policy support [32][34]. - It anticipates stable long-term performance for the A-share market, with an emphasis on enhancing the capital market's stability and value through reforms [33][36].