大型科技股涨跌不一。谷歌大跌超7%，苹果跌超1%，此前苹果称计划在其浏览器中添加AI搜索功能。ARM美股盘后跌超10%。公司预计第一财季营收10亿 ~11亿美元，分析师预期11亿美元。 热门中概股多数下跌，纳斯达克中国金龙指数收跌2.34%。文远知行跌近8%，百度跌近5%，阿里巴巴跌超3%。 富时A50期指连续夜盘收跌0.29%，报13187点。 美东时间周三，美股尾盘快速拉升，三大指数集体收涨。截至收盘，道指涨0.7%，标普500指数涨0.43%，纳指涨0.27%。 美东时间周三，美股尾盘快速拉升，三大指数集体收涨。道指涨0.7%，标普500指数涨0.43%，纳指涨0.27%，费城半导体指数涨1.74%。 周三（5月7日）纽约尾盘，离岸人民币（CNH）兑美元北京时间04:59报7.2283元，较周二纽约尾盘跌185点，日内整体交投于7.1892~7.2296元区间。 商品方面，COMEX黄金期货跌1.47%，报3372.6美元/盎司；COMEX白银期货跌2.32%，报32.605美元/盎司。 WTI 6月原油期货收跌1.02美元，跌幅1.73%报58.07美元/桶。布伦特7月原油期货收跌1.03美元，跌幅1 ...

Core Viewpoint - The U.S. stock market saw a collective rise in major indices, while Google experienced a significant decline of over 7% due to competitive pressures from Apple introducing AI search features in its browser [1] Group 1: Market Performance - The Dow Jones Industrial Average increased by 0.7% [1] - The S&P 500 index rose by 0.43% [1] - The Nasdaq composite gained 0.27% [1] Group 2: Company-Specific Developments - Google shares fell by more than 7% [1] - Apple's announcement to add AI search functionality in its browser is a direct competitive threat to Google [1]

Group 1 - Alphabet Inc. (GOOGL) shares fell by 2.49%, reaching a new daily low [1] - Apple Inc. (AAPL) shares experienced a short-term decline, with the company's vice president announcing a drop in its browser search business and discussing AI search [1] - The Nasdaq 100 index turned negative, with notable declines in component stocks such as Marvell Technology (-11.1%), DoorDash (-4.75%), and CrowdStrike (-4.74%), while Alphabet A shares ranked fourth from the bottom [1] Group 2 - Marvell Technology Inc. shares decreased by 6.83% to $54.39 [3] - DoorDash Inc. shares dropped by 9.04% to $181.08 [3] - CrowdStrike Holdings Inc. shares fell by 21% to $422.21 [3] - Alphabet Class A shares declined by 5.78% to $157.45, while Class C shares decreased by 5.5% to $159.70 [3] - Other notable declines included AppLovin Corp. (-9%), Vertex Pharmaceuticals (-12.53%), and Diamondback Energy (-3.64%) [3]

Core Insights - The article discusses the rapid advancements in AI technology and its impact on various sectors, particularly in China, highlighting the surge in AI application usage and the activation of related markets and industries [3][4][5]. Group 1: AI Product Development - Many AI products now possess search capabilities that can bypass common barriers, allowing users to access updated global technology and knowledge [6][8]. - The introduction of DeepSeek has significantly increased public interest in AI applications, leading to a surge in user numbers and engagement across major domestic AI service providers [11]. - The demand for computing power is becoming a core asset, with the cloud service market increasingly recognizing the importance of computing platforms [12]. Group 2: Market Dynamics - The success of DeepSeek has led to a spike in orders for domestic chips, as real-world applications have emerged, despite existing performance gaps compared to Nvidia [13]. - The AI application market is experiencing explosive growth overseas, with Chinese teams successfully penetrating international markets, often prioritizing profitability over domestic competition [25][27]. - Investment in domestic AI research teams is on the rise, with both local and foreign investors showing renewed interest in the sector [20]. Group 3: Government and Regional Impact - Local governments in regions like Shanghai and Shenzhen are reassessing policies to support the growth of local tech enterprises, inspired by the success of companies like DeepSeek [21]. - The AI boom is also revitalizing the real estate market in certain areas, as talent attraction efforts increase [23]. Group 4: Compliance and Challenges - Chinese teams expanding overseas face dual compliance challenges, needing to navigate both domestic regulations and international requirements [27]. - The article emphasizes the importance of careful consideration regarding compliance risks when pursuing international business opportunities [27].

Financial Data and Key Metrics Changes - Revenue for Q1 2025 was $392 million, up 61% year over year, marking the third consecutive quarter of growth over 60% [9][20][32] - Adjusted EBITDA reached $115 million, with a margin of 29%, up over 2,500 basis points year over year [32][33] - GAAP net income was $26 million, translating to $0.14 per basic share and $0.13 per diluted share [41][42] - Operating cash flow exceeded $100 million for the first quarter, ending at $128 million, the highest ever [34][40] Business Line Data and Key Metrics Changes - Advertising revenue grew 61% year over year to $359 million, driven by broad-based strength across objectives, channels, verticals, and geographies [20][21][32] - Other revenue, including data licensing, reached $34 million, growing 66% year over year [35] - The total number of active advertisers grew over 50% year over year in Q1 [22] Market Data and Key Metrics Changes - U.S. ad revenue grew 56% year over year, while international ad revenue grew 83% year over year, the fastest growth rate in three years [23][35] - Daily active users (DAUs) reached 108 million, and weekly active users (WAUs) reached 401 million, both up 31% year over year [9][53] Company Strategy and Development Direction - The company aims to enhance its core product and advertising business while focusing on international expansion and improving user experience [15][19] - Key initiatives include upgrading search functionality, expanding machine translation, and enhancing community engagement tools [14][15][17] - The company is committed to maintaining its unique community model and not imitating other platforms [18] Management's Comments on Operating Environment and Future Outlook - Management acknowledged the challenges posed by macroeconomic conditions but expressed confidence in Reddit's ability to grow through uncertain times [10][51] - The company expects revenue for Q2 2025 to be in the range of $410 million to $430 million, representing 46% to 53% year-over-year growth [41][42] - Management emphasized the importance of community and knowledge sharing as core to Reddit's value proposition [6][12] Other Important Information - The company is focused on minimizing dilution, with total diluted shares falling to 206 million in Q1 [34] - The integration of AI and machine learning into advertising solutions is a priority, with significant improvements in conversion and click volume [25][27] Q&A Session Summary Question: How is the Reddit team protecting data quality from fake accounts or bots? - Management acknowledged the importance of authentic content and is actively working to prevent abuse and manipulation on the platform [43][44] Question: What is the current state of the advertising market and its impact on the business? - Management noted that while there is uncertainty in the market, they are well-positioned and delivering profitable outcomes for customers [51] Question: How does the company view user growth for the remainder of the year? - Management reported a strong start to the year with DAUs growing in the high teens range year over year, despite expected bumps from Google algorithm changes [53][55] Question: Can you discuss the drivers of pricing and ROAS compared to other platforms? - Management indicated that pricing is an outcome of supply and demand, with improvements in outcomes leading to increased advertiser spending [62][68] Question: What are the trends in contribution rates as the user base grows? - Management highlighted efforts to improve user experience by ensuring new users understand community rules, which has positively impacted contribution rates [79] Question: How does the company view the sustainability of current data licensing revenue? - Management expressed confidence in the value of Reddit data for search and AI companies, indicating a strong ongoing demand [84] Question: How does Google treat machine-translated content? - Management confirmed that Google supports their use of machine translation, which has been beneficial for indexing more user-generated content [90] Question: Why not invest more given strong revenue growth? - Management emphasized a disciplined approach to cost growth, aiming for revenue growth to outpace cost growth while still making strategic investments [92][96]

Core Viewpoint - OpenAI has introduced a new shopping feature for ChatGPT, allowing users to receive product recommendations and purchase options, aiming to compete with Google [1][3]. Group 1: New Shopping Feature - The shopping feature will be available to all users without the need for account login, but transactions will redirect users to merchant websites for payment [1]. - ChatGPT users perform over 1 billion web searches weekly across various categories, including beauty, home goods, and electronics [1]. - The feature provides personalized recommendations based on user preferences and online product reviews [1][4]. Group 2: Comparison with Google Shopping - The new shopping experience in ChatGPT shares similarities with Google Shopping, displaying retailer lists and purchase buttons without paid rankings [3]. - OpenAI emphasizes that its search results are not influenced by advertisements or commercial sponsorships, contrasting with Google Shopping's model [3]. Group 3: Product Recommendation Mechanism - ChatGPT's recommendation system is designed to be more personalized and conversational, rather than relying solely on keyword matching [3]. - Users can specify preferences, and the system will remember these for future recommendations [3][4]. Group 4: Revenue Sharing and Future Plans - The revenue-sharing model for online publishers remains unclear, as ChatGPT aggregates reviews from multiple sources [5]. - OpenAI is exploring various collaboration models for revenue sharing but prioritizes user experience and quality recommendations [5]. - The company has ambitious revenue goals, aiming for $125 billion by 2029, with current revenue projections for 2024 being under $4 billion [5]. Group 5: Competitive Landscape - OpenAI's competitors, such as Perplexity, have already launched in-app shopping features, indicating a growing trend in AI search capabilities [6].

Core Viewpoint - Genspark has transitioned from a traditional AI search engine to a more advanced AI Agent, Genspark Super Agent, which aims to provide comprehensive task execution capabilities rather than just information retrieval [5][9]. Group 1: Product Development and Features - Genspark Super Agent achieved a milestone of $10 million ARR just 9 days after its launch, although this figure is based on projected averages rather than actual revenue [3]. - The product is designed to autonomously think, plan tasks, take actions, and utilize tools to handle daily tasks, marking a significant evolution from its original AI search engine concept [5][6]. - The previous AI search engine attracted over 5 million users but was ultimately shut down to focus on the new AI Agent model, as traditional AI search was deemed increasingly outdated [6][8]. Group 2: Limitations of Traditional AI Search - Traditional AI search engines follow a linear, template-based response logic, which limits their ability to adapt contextually and dynamically plan task steps [9]. - Users require complete outputs rather than fragmented information, which traditional search engines struggle to provide [9]. - Genspark's shift to an AI Agent model is driven by the need for a system that can deliver comprehensive results, such as completed plans or presentations, rather than just raw data [9][10]. Group 3: Genspark Super Agent's Capabilities - Genspark Super Agent utilizes a Mixture-of-Agents framework, coordinating multiple specialized large language models (LLMs) to ensure stability and efficiency [10]. - It includes over 80 preset sub-agents and tools, enabling it to handle complex tasks like generating presentations or executing Python code [10]. - The system accesses carefully curated and verified datasets to ensure the accuracy and reliability of its outputs, reducing the spread of misinformation [10]. Group 4: Commercialization and User Experience - Genspark has introduced features for image and video generation, enhancing its functionality and offering a one-stop solution for various tasks [10]. - The commercial model includes packaged access to various models, with additional charges for executing tasks and generating media, while free users receive daily credits sufficient for moderate tasks [10][13]. - User feedback highlights the speed, model variety, and high success rate of Genspark Super Agent, with some users finding it easier to use compared to other platforms [18].

作 者丨肖潇 实习记者隆欣玲 编 辑丨王俊 美国宣布对所有贸易伙伴加征"对等关税"的消息持续动荡，这几天里，手机里的新闻 弹窗爆炸，不同地区、不同行业的关键词在标题里轮番滚动。 想 要 快 速 看 懂 发 生 了 什 么 ， 却 越 刷 越 眼 花 缭 乱 ， 突 然 想 到 ： 能 不 能 让 A I 帮 忙 总 结 一 下"美国最新关税加征政策对市场的影响"？ A I果然高效。短短几秒里，它就给出了股市情况、行业冲击、中国应对措施。有言之 凿凿的数据，有生动的案例，比如华为启动了"鸿蒙供应链计划"，联合1 5 0 0家供应商 构 建 去 美 化 产 业 链 ；Temu 、 S H EI N 等 平 台 被 迫 提 价 1 5 % ~ 2 5 %；Ti kTo k 商 家 伪 装 东 南亚店铺销售. . . . . . 但这些"故事"这么快就出炉了吗？作为记者，出于职业本能的半信半疑，一条条点进 链接查看，结果发现有的说法出自个人账号，看不出来源；有的是好几年前的行业数 据——今年情况早就不同了；还有的数据根本就是无中生有，前文提到的几则信息均 是如此。 这并非偶然。就像一滴墨染入清水，A I编造的内容正在 ...

现在，制作一条这样的ins做饭视频，你猜需要几个步骤？ 鱼羊 一水 发自 凹非寺 量子位 | 公众号 QbitAI 刚刚，又一个中国血统智能体，让歪果仁大呼"疯狂"。 于是乎，歪果友人的反应be like： 新的最佳Agent来了！再次来自中国。 比赛完全没有放缓的迹象。 细究起来，Genspark倒并非新面孔，其背后公司，是 前百度高管、小度之父景鲲的创业公司MainFunc 。 去年 （2024年） 6月，MainFunc官宣成立即推出首款产品Genspark。不过当时，他们剑指的还是AI搜索，并凭此在种子轮融了6000万美 元 （约合4.35亿人民币） ，投后估值突破18亿人民币。 答案是，告诉Agent"帮我制作一条如何制作金桔开心果脆皮鳕鱼的视频"，然后就可以坐等结果了。 全程无需自己动手打开任何一个视频编辑软件，零帧起号不是梦（doge）。 这个智能体名叫 Genspark超级智能体 ，刚一推出，就在智能体基准测试GAIA上击败了Manus和OpenAI Deep Research。 关键是，它不要邀请码， 免！费！就能玩 ！ 如此看来，此番超级智能体新亮相，还意味着景鲲团队的彻底掉头转向。 "适 ...

Core Viewpoint - The article emphasizes the transformation of AI tools, highlighting that the future will see AI as a tool used by humans, rather than merely a replacement for traditional search methods [4][5][14]. Group 1: Product Development and Features - The launch of "New Quark" represents a significant upgrade, introducing the "Super Box" concept, which aims to redefine the relationship between humans, tools (AI), and tasks [3][4]. - The "Super Box" is designed to be a "Super Agent" that directly delivers results by integrating various AI capabilities, such as AI search, writing, and health assistance, into a single interface [4][5]. - Quark's user base has grown significantly, with over 200 million monthly active users and a cumulative download exceeding 370 million by 2024, indicating strong market acceptance [8]. Group 2: Strategic Vision and Market Position - The strategic focus on Quark as a core component of Alibaba's AI To C strategy reflects a shift towards consumer-oriented AI products, aiming to provide comprehensive solutions for everyday tasks [6][7]. - The leadership of Wu Jia, who has extensive experience within Alibaba, is pivotal in driving Quark's growth and aligning it with the company's broader AI mission [9][10]. - The "Super Box" is positioned as a versatile tool that can cater to a wide range of user needs, from academic reports to travel plans, emphasizing its utility across various demographics [21][22]. Group 3: Future Directions and Innovations - Future developments will focus on enhancing the "Super Box" to support multi-modal inputs, allowing users to interact through various means such as voice and images [22][23]. - The integration of deep thinking capabilities and multi-modal abilities will enable the "Super Box" to handle more complex tasks, further distinguishing it from traditional search engines [35]. - The overarching goal is to establish Quark as a leading "Super Entrance" in the AI era, facilitating seamless interactions between users and information [40].