黄仁勋 图片来源：视觉中国 英伟达耗时三十年，才艰难攀上1万亿美元市值的山峰；而从1万亿到4万亿，它却只用了短短两年。 当地时间7月10日，这家全球领先的人工智能芯片供应商的股价收于164.10美元，创下历史新高，成为全球首家市值突破4万亿美元的上市公司。这不仅是AI 第一轮算力竞赛的顶峰，更是一个深刻的产业结构演化信号：AI竞争的核心，已悄然从"谁能训练出最大、最强的模型"，转向"谁能让全世界用得起、用得 好模型"。 自2022年生成式AI的浪潮席卷全球以来，大模型的研发驱动了前所未有的基础设施投资热潮。进入2024至2025年，随着AI"推理"任务（即模型的实际应用） 量呈指数级增长，企业端与消费端的AI应用正在全面铺开，科技巨头在AI基础设施领域的竞争也日趋白热化。 英伟达的登顶，是整个AI生态从"训练为王"向"应用为王"战略跃迁的缩影。真正的拐点在于，AI正开始以前所未有的广度和深度，大规模、日常化地融入 普通人的生活与实体企业的生产流程。AI发展的"第二幕"，已然开启。 英伟达速度：两年从1万亿到4万亿美元 当地时间7月10日，英伟达市值正式迈过4万亿美元大关，成为全球资本市场的新晋王者。福布斯实时 ...

编译 | Tina 本周，AI 搜索公司 Perplexity 推出了一款名为 Comet 的网页浏览器。这款浏览器整合了 Perplexity 自家 的 AI 搜索工具和智能助手，旨在为用户提供更智能的浏览体验。目前，Comet 仅面向每月支付 200 美 元的 Perplexity Max 高级用户开放，后续将逐步通过邀请制向更多用户推广。 在官方博客中，Perplexity 直言不讳地表示：Comet 的推出，就是要正面挑战市占率高达 66.6% 的 Google Chrome。而这次发布时间点也颇有意味——恰逢传言 OpenAI 即将发布自家 AI 浏览器， Perplexity 抢先出招，火药味十足。 但 Perplexity 的野心显然不止于此。他们不只是要与 Google 抢用户，更是要复制甚至超越 Google 的模 式。 到了 4 月，CEO Aravind Srinivas 又在一档播客中公开提到：打造自有浏览器，还有一个原因是——他 们想获取用户在 Perplexity 应用之外的行为数据，从而投放更高质量的广告。这已经不只是搜索工具， 更是围绕"用户数据"的全局博弈。 更有趣的是，Sr ...

Core Insights - Globalstar, Inc. has entered into definitive agreements with Telecom Castilla-La Mancha to expand its Alcazar Teleport facility in Spain, enhancing its mobile satellite services network, the C-3 System, to improve connectivity across Europe [1][10] - The expansion will double the size of the Alcazar Teleport, adding three new tracking antennas and essential infrastructure upgrades, reinforcing Globalstar's commitment to enhancing its global ground infrastructure [2][3] Infrastructure Development - The upgrade of the Alcazar facility is crucial for strengthening Globalstar's Low Earth Orbit (LEO) satellite constellation, enabling the company to support next-gen mobile satellite services for millions of users in Europe [3] - Recent power outages in Spain and Portugal highlighted the importance of satellite services, as Globalstar's network remained operational while terrestrial networks failed, showcasing the resilience of its system [4][10] Service and Revenue Growth - Globalstar provides satellite voice and data services in over 120 countries, with a product range that includes mobile and fixed satellite telephones and data modems [5] - The company reported a revenue of $60 million in the last quarter, a 6% year-over-year increase, driven by higher service revenues, and reaffirmed its 2025 revenue guidance between $260 million and $285 million, expecting an adjusted EBITDA margin of around 50% [8] Market Position - Globalstar currently holds a Zacks Rank of 3 (Hold), with its shares increasing by 41.2% over the past year, compared to a 57% growth in the Zacks Satellite and Communication industry [9]

Dublin, July 11, 2025 (GLOBE NEWSWIRE) -- The "North America Cystoscopes Market Outlook to 2033 - Rigid Non-Video (Fibre) Cystoscopes, Flexible Video Cystoscopes and Flexible Non-Video (Fibre) Cystoscopes" has been added to ResearchAndMarkets.com's offering. The "North America Cystoscopes Market Outlook to 2033" is an in-depth databook report offering critical insights into the North America Cystoscopes market. This comprehensive report provides detailed market data, including value in USD, volume in units ...

Group 1 - The CEO of Coinbase announced a partnership with Perplexity AI [1]

遇事不决，问问AI，正成为越来越多人的日常习惯。而在此之前，大家有什么问题，第一反应是上网搜一下。 从"搜一搜"到"问一问"，AI改变了大众获取信息的方式，更重构了品牌抢占用户心智的重要战场。 在传统搜索时代，品牌通过SEO （搜索引擎优化） 争夺搜索结果页面的排名，但在AI时代，品牌需要争夺的是 AI回答中的提及率。一个新的范式正在出现，它不是由页面排名驱动，而是由语言模型驱动——GEO （Generative Engine Optimization） ，即生成式搜索引擎优化。 2025年，伴随着大模型渗透率的提升以及深度思考模式的上线，GEO在中国逐渐成为品牌营销领域关注的焦 点。谁能让自己的内容成为AI生成答案时的"首选引用"和AI引擎眼中的"可信来源"，谁就更有机会在AI搜索时 代抢占流量曝光新风口。 搜索即答案，GEO时代来了 在传统搜索时代，用户输入关键词后，需要从海量链接中筛选信息，品牌则通过关键词堆砌、外链建设等 手段争夺搜索结果页的"黄金位置"。 但AI的介入彻底颠覆了这一逻辑—— 当用户向AI提问时，他们不再需要点击链接跳转，而是直接获得一个 整合了多来源信息的"标准答案"。 在这个过程中 ...

New deployment option accelerates time to protection and expands customer flexibilityLONDON, July 10, 2025 /PRNewswire/ -- Corero Network Security (AIM: CNS) (OTCQX: DDOSF), the distributed denial of service (DDoS) protection specialists, today announced that the orchestration plane of its flagship SmartWall ONE™ solution is now deployable in Akamai Compute, Akamai Technologies' edge-native cloud computing platform. This evolution gives customers more flexibility and agility in managing DDoS protection infr ...

1．美国ETF创新产品：Innovator发行"双向"策略产品 上周美国共14只新发产品，月初有较多Buffer类产品发行： 上周有较多结构化产品发行，First Trust发行一只挂钩比特币的产品，通过期权结构得到的年度损失上限为15%，目 前年度的收益上限对应为31.26%。安联资管、PGIM上周都发行了挂钩标普500的Buffer产品，而Innovator进一步拓 宽产品策略，发行"双向"策略，在上涨、下跌时都提供正收益，即上涨时为正向、下跌时为反向策略，各自有一定收 益上限，下跌超出Buffer区间后承担超出部分损失： 目前产品的结构区间仍为一年，挂钩标普500，设置了10%、15%两种Buffer区间。 上周二，Anfield发行一只标普500指数增强产品，主要通过选股和衍生品来获取超额收益，选股部分主要使用量化方 法，且较侧重动量类指标。 Hedgeye上周发行一只混合配置ETF，该产品希望通过配置获取收益并将最大回撤控制在15%以内，该产品的基金经 理此前为超过800家慈善机构管理超过80亿美元资产，主要通过宏观、市场分析对ETF打分然后配置，目前产品的前 五 大 持 仓 如 下 ， 股 票 上 ...

Core Insights - The rise of Generative Engine Optimization (GEO) as a new marketing strategy has gained significant traction since the popularity of DeepSeek, with brands increasingly inquiring about GEO services and their effectiveness [1][2][3] - GEO aims to enhance a brand's visibility in AI-generated responses by creating content that aligns with AI preferences, contrasting with the more established Search Engine Optimization (SEO) market, which is valued at nearly $90 billion [1][2][3] - The GEO market is still in its infancy, characterized by a lack of standardized practices and a mix of service quality, leading to a chaotic environment reminiscent of the early days of internet marketing [1][8][19] Market Demand and Growth - The demand for GEO services has surged, with many brands seeking to understand how to optimize their presence in AI responses, indicating a shift in consumer decision-making influenced by AI [2][4] - The market has seen a rapid influx of GEO service providers, with offerings ranging from customized services to traditional SEO-style keyword-based pricing [5][6][12] - The potential for GEO to become a primary marketing strategy for consumer brands is evident, as many companies are now focusing on AI chat interfaces for customer engagement [5][6] Operational Mechanisms - GEO operates by embedding brand information into AI platforms like ChatGPT and DeepSeek, aiming to be included in AI-generated answers to user queries [2][4] - Successful GEO strategies involve understanding AI content preferences, which can influence the output of AI responses, as highlighted by a study from the Indian Institute of Technology [6][12] - Content optimization strategies include semantic depth, data support, and authoritative sources, with a focus on content distribution across frequently cited websites [6][7] Challenges and Concerns - The unpredictable nature of AI responses poses challenges for GEO service providers, as the effectiveness of their strategies can vary significantly [9][10] - The industry faces issues with "black hat" practices, where low-quality content is produced to manipulate AI responses, raising concerns about content integrity and user experience [11][12] - The lack of clear metrics for success in GEO makes it difficult for companies to measure the effectiveness of their campaigns, leading to potential misunderstandings between service providers and clients [9][10] Future Outlook - There is optimism that as the AI ecosystem matures, clearer regulations and standards for GEO will emerge, similar to the evolution of SEO [19] - The integration of advertising into AI responses is anticipated, which could lead to more structured commercial rules and better measurement tools for marketing effectiveness [18][19] - Companies are preparing for a future where AI marketing becomes more sophisticated, moving beyond simple keyword matching to understanding user intent [18][19]

Core Viewpoint - The emergence of AI agents capable of making payments autonomously is a significant trend in the AI application and business model landscape, with various companies developing solutions to facilitate this capability [4][20]. Group 1: Steps for Agent Payment - The process of enabling agent payment involves several steps, including research tools for inventory, communication tools for supplier interaction, note-taking for financial tracking, customer interaction capabilities, and price adjustment functionalities [7]. - Recent developments indicate that companies like Mastercard and Visa have launched AI agent payment solutions, while PayPal introduced its first MCP server, allowing LLMs to generate invoices and share payment links automatically [9][20]. Group 2: Key AI Products with Payment Integration - Perplexity Pro Shopping allows users to complete purchases directly within a chatbot interface, representing an early attempt at integrating agent and commerce [11]. - Stripe's Agent Toolkit provides virtual cards with customizable spending limits, addressing security and spending control for agent transactions [12]. - Shopify Sidekick automates product descriptions, promotions, and order processing, serving as an AI assistant for merchants [13]. - Adyen Uplift offers middleware services for AI agents, optimizing payment routes and retry mechanisms [14]. - Operator from OpenAI marks the beginning of a general agent framework, although it currently lacks payment integration [15]. - Mastercard's AgentPay distributes virtual cards to agents, enhancing their role in payment networks [16]. - Visa's Intelligence Commerce uses network tokens for transactions, ensuring security and budget control for AI agents [17]. - PayPal's MCP Server simplifies invoice generation and payment link sharing, making it easier for small businesses to implement payment solutions [18]. Group 3: Challenges in Achieving Autonomous Agent Payment - Three core challenges in achieving agent payment autonomy include defining the agent's role and scope, addressing fraud and KYA (Know Your Agent) issues, and clarifying liability in transactions [21][23][24]. - The ambiguity surrounding the agent's authority and the merchant's ability to verify agent interactions complicates the establishment of a secure payment framework [23]. - The responsibility for costs and liabilities in transactions involving agents remains unclear, particularly in scenarios like returns [26]. Group 4: Future Models of Agent Payment - Potential future models for agent payment include collaborative checkout with human oversight, authority derived from user wallets, limited payment capabilities through virtual cards, and agents possessing their own wallets funded by stablecoins [27].