以下文章来源于科创板日报 ，作者黄心怡 "豆包AI助手"手机火出圈了。 《科创板日报》记者查询获悉， 在中兴商城官网，售价3499元的nubia M153 豆包手机助手技术预览版已经售罄。 科创板日报 . 官网显示，用户可填写预约信息申请F码，获得F码后按提示购买。 专注科创板和科技创新，上海报业集团主管主办，界面财联社出品。 值得一提的是，官网对这款手机进行了专门的提示， 称其仅面向需要体验豆包手机助手的行业人士，不承诺成熟产品的功能完善度， 普通 消费者请务必谨慎选择。 《科创板日报》记者注意到， 在二手网站上，已经有卖家以3999元-4599元不等的价格出手nubia M153手机。 同时，还有卖家以百元左 右的价格售卖F码。 实际上，国内主流手机厂商此前早已经在探索手机AI助手，并开发了相关应用。比如华为的小艺、小米的小爱、OPPO的小布、荣耀的 YOYO等等。 荣耀、vivo等厂商也在探索把AI融入操作系统，实现平台级AI能力。荣耀在去年的发布会上，还曾演示通过手机AI助手实现一句话点外卖功 能。 在与字节、阿里等互联网大厂的合作方面，《科创板日报》记者了解到， 手机厂商更倾向于对端侧模型进行自研， ...

Core Viewpoint - The chip sector experienced a significant rise, with the market approaching its previous high, driven by strong interest in the cloud computing ETF Huatai Tianfu (159273) which saw a net subscription of 8 million units for four consecutive days [1][3] Group 1: Market Performance - The cloud computing ETF Huatai Tianfu (159273) closed up 0.89% with a trading volume exceeding 650 million yuan [1] - Major component stocks of the ETF mostly saw gains, with notable performances from Huasheng Tiancheng, Xin Yisheng, and Zhongji Xuchuang, which rose by 10%, over 6%, and over 5% respectively [3][4] Group 2: Capital Expenditure and AI Development - The total capital expenditure (Capex) for the U.S. cloud industry reached 95.8 billion, reflecting a year-on-year increase of 64%, indicating strong demand for AI cloud orders [5] - Overseas cloud service providers are raising their capital expenditure forecasts, suggesting a sustained positive outlook for computing power [5][6] Group 3: Domestic Computing Power and AI Applications - The domestic computing power sector is in the early stages of profit release, with a focus on leading companies in the sector [6][7] - AI applications are beginning to show signs of profitability, with significant increases in usage metrics, such as ByteDance's model reaching an average daily token usage of over 16.4 trillion, up over 137 times year-on-year [7] Group 4: Investment Opportunities - The cloud computing ETF Huatai Tianfu (159273) offers a comprehensive investment opportunity across various sectors, including hardware, cloud services, IT services, and software applications, with a unique weight of 31% in its index [8]

Group 1 - The core viewpoint is that AI is entering a new phase of commercialization, driven by a virtuous cycle of computing power investment, cloud service consumption, and revenue generation [1][2] - The Chinese government has approved a plan to implement "Artificial Intelligence +" actions, aiming to accelerate the commercialization of AI applications across various sectors [1][2] - Fund managers believe that 2025 will be a pivotal year for AI application commercialization, with significant growth in annual recurring revenue (ARR) for companies like Cursor, Anthropic, and OpenAI [2][3] Group 2 - AI applications are increasingly focusing on both B-end (enterprise) and C-end (consumer) empowerment, with B-end applications optimizing costs and increasing revenue in marketing, office, and education sectors [4] - The introduction of AI Agents is seen as a key development in human-computer interaction, with OpenAI's GPT-5 series enhancing capabilities in programming and problem-solving [5][6] - The shift from traditional apps to AI Agents is expected to redefine content distribution and user interaction, making AI Agents the new core of the internet [7] Group 3 - Despite the rapid growth in AI applications, the hardware side, particularly in consumer products, is lagging behind, with expectations for significant advancements in the coming years [8][9] - The smart glasses market is projected to grow significantly, with sales expected to reach 1 million units by 2027, representing a market space of 100 billion yuan [9] - The development of AI applications is transitioning towards embedding AI into real-world scenarios, requiring skilled product managers and engineers to drive innovation [10]

Core Viewpoint - The article emphasizes that AI is entering a virtuous cycle from computing power investment to cloud service consumption and then to commercialization revenue, with the scaling of AI applications being the key driver of this effect [1][2]. AI Application Commercialization - This year is seen as a pivotal year for the commercialization and scaling of AI applications, with significant growth in both domestic and international markets [3]. - Notable achievements include Cursor reaching $500 million in ARR, Anthropic's ARR soaring from $1 billion to nearly $4 billion, and OpenAI surpassing $10 billion in annualized revenue, reflecting an 80% increase from last year [3]. - In China, Kuaishou's AI product achieved over $10 million in ARR within 10 months, while ByteDance's model saw a 137-fold increase in daily token usage since its launch [3]. Market Sentiment and Trends - Fund managers note that AI functionalities are increasingly penetrating daily work and life, evidenced by explosive growth in token usage, indicating rapid user adoption [4]. - The focus has shifted from event-driven catalysts to actual progress in commercialization, with many AI companies in the U.S. revising their performance expectations upward due to AI-driven growth [4][5]. B2B and B2C Empowerment - AI applications are focusing on dual empowerment for B2B (business) and B2C (consumer) sectors, with B2B applications aiming to reduce costs and increase efficiency, while C2C applications are enhancing user experiences through hardware integration [5]. - By 2025, over 25% of global AI tools are expected to be applied in areas like code generation and customer service, driving enterprise spending towards AI [5]. Evolution of AI Agents - AI Agents are becoming a crucial entry point for human-computer interaction, with advancements in models like GPT-5 enhancing their capabilities [6][7]. - The concept of AI Agents has evolved from basic tools to sophisticated systems capable of complex tasks, with predictions that 2025 will mark the "year of the agent" [6][7]. Future Growth Engines - Despite slower progress in AI hardware applications, there is optimism about the potential of edge AI innovations, such as smart glasses and smart homes, to drive the next growth cycle [10][11]. - The smart glasses market is projected to grow significantly, with sales expected to reach 1 million units by 2027, representing a market opportunity of 100 billion yuan [11].

金价持续上涨，瑞银预测要涨到明年。 今天，现货黄金价格突破 3200 美元/盎司，上海金早盘价上涨至每克 760.66 元，金饰价格冲破 1000 元/克。瑞银集团预计黄金价格在今年会突破 3500 美元/盎司，涨势会延续到明年，并且在更 加长期内保持高位。瑞银分析师称，黄金需求将来自不同的市场领域，包括官方部门、长期资产管 理者、宏观基金、私人财富和零售投资者。当关税不确定性加剧、经济增长疲软、通胀走高以及地 缘政治风险增强时，作为安全资产的黄金需求量增大。 昨天，上海黄金交易所发布公告称，近期国际形势复杂多变，贵金属价格波动较大，市场风险加 剧，提醒投资者做好风险防范工作，合理控制仓位，理性投资。 特斯拉中国停售进口 Model S 及 X 新车。 4 月 11 日，特斯拉中国官网显示，目前 Model S/X 车型已不再提供单独的 "订购新车" 选项，目前 相应车型页面中仅显示有 "查看现车" 按钮，点击 "查看现车" 则可以看到一系列车型信息。 据了解，特斯拉此前在中国销售 Model S/X 车型均为美国进口，其中 Model S 起售价为 68.49 万 元，而 Model X 起售价为 72.4 ...

Core Viewpoint - The article discusses the significant advancements in large model training efficiency and cost reduction through the introduction of the COMET optimization technology by ByteDance's Doubao model team, which enhances training efficiency by 1.7 times and reduces costs by 40% [1][2]. Group 1: COMET Technology - COMET is a key optimization technology for the MoE (Mixture of Experts) architecture, which has been open-sourced on GitHub, leading to substantial savings in GPU hours during training [1]. - The technology addresses the communication overhead in distributed training of MoE models, significantly improving training efficiency and cost [1][2]. - COMET can be integrated into existing MoE training frameworks without invasive modifications, making it more flexible and widely applicable [2]. Group 2: Synergy with Other Technologies - COMET can be used in conjunction with the previously introduced DualPipe+DeepEP solution, allowing for further cost reductions in training [2]. - The UltraMem sparse model architecture, which was announced earlier, can also be combined with COMET to enhance training efficiency and reduce costs even further [2]. Group 3: Market Trends and Cost Reduction - The cost of calling large models has drastically decreased, with estimates suggesting a drop from $120 per million tokens in 2023 to less than 1 RMB in 2024, representing a 99.9% reduction [3]. - The reduction in training costs is expected to lower the barriers for enterprises, potentially increasing demand for larger and more complex models [3]. Group 4: Investment in AI Talent and Infrastructure - ByteDance is significantly increasing its capital expenditure in AI, with projections of reaching 80 billion RMB in 2024, nearly matching the combined total of major competitors [4]. - The company is actively recruiting top AI talent through initiatives like the "Jindouyun Talent Program" and the "Top Seed Talent Program," focusing on attracting students interested in AI research [5].