新浪科技讯 1月15日下午消息，今日，千问App宣布全面接入淘宝闪购和支付宝AI付，实现一句话点外 卖。用户只需在千问的聊天框里自然说话，如"帮我点杯奶茶"或"帮我点两杯咖啡"，千问即推荐合适商 家、生成订单，并通过内置的"支付宝AI付"功能一键付款。全程无需跳转至其他应用，实现"说一句， 就送到"。 据悉，支付宝向千问App开放了为通用智能体设计的原生AI支付能力"AI付"，解决了智能体"决策易、 支付难"的痛点。让智能体不限于问答，真正具备"办事"能力。据悉，除了外卖之外，千问App还将基 于支付宝AI付上线更多场景支付。 支付宝表示，支付宝AI付在提升支付效率的同时保障支付安全。支付宝通过"自主开通+本人支付+被盗 即赔"三重保障构建安全防线：用户需手动完成账号绑定开通，支付时需以面容、指纹或密码等核实身 份，配合7*24小时多维度风控系统，保障每一笔交易的可控可信。同时承诺"你敢付我敢赔"，让用 户"省心"与"安心"兼得。 责任编辑：李铁民 责任编辑：李铁民 新浪科技讯 1月15日下午消息，今日，千问App宣布全面接入淘宝闪购和支付宝AI付，实现一句话点外 卖。用户只需在千问的聊天框里自然说话，如"帮 ...

Core Insights - The rapid evolution of AI technology is significantly transforming the payment landscape, moving from cash payments to various advanced methods like "tap" and "AI payment" [1][2][3] Group 1: Payment Innovations - The introduction of "AI payment" by Alipay in September 2025 marks a significant milestone, enabling seamless ordering and payment through voice commands [2] - Meituan's AI Agent product "Xiao Mei" integrates AI payment with local services, attracting a large user base [2] - Rokid's smart glasses extend "AI payment" capabilities, allowing users to complete orders through voice commands while on the move [2] Group 2: Consumer Experience - In Hangzhou, the "tap" payment method has become ubiquitous, simplifying transactions across various locations, including convenience stores and street vendors [3] - The integration of "AI payment" enhances consumer experiences, allowing users to place orders without needing to interact with their phones [3] - The evolution of payment methods is shifting towards a more "invisible" experience, redefining the relationship between consumers and spending [3][4] Group 3: Future Outlook - "AI payment" is seen as a starting point for the industry's intelligent transformation, promoting smarter and more efficient consumer interactions [4] - The ongoing technological advancements and ecosystem improvements suggest that payments will evolve into a smart hub connecting people and goods, heralding a new era of consumption [4]

Core Insights - The article discusses the evolution of payment systems in the context of AI, highlighting a shift from traditional user-interface-based payments to AI-driven, context-aware transactions [2][3][14] - It emphasizes that AI is becoming a new economic participant, capable of understanding intent and executing transactions autonomously, which could redefine the internet economy [3][4][5] Group 1: AI Payment Evolution - The concept of "Embedded Payment 2.0" is introduced, where payments are triggered by AI understanding user intent rather than manual clicks [2][14] - AI is expected to act as an individual agent, managing tasks and making purchases autonomously, thus transforming the shopping experience into a more efficient process [5][6] - The traditional internet economy, which has been based on human interaction, is facing a paradigm shift as AI becomes a primary consumer of web content [7][9] Group 2: New Economic Models - The article outlines a potential transition from "attention economy" to "access measurement economy," where AI's content access could generate new revenue streams for content providers [7][10] - Companies like FluxA are working to bridge the gap between AI capabilities and existing economic structures, creating a network that allows AI to engage in economic activities legally [10][11] - The need for a new payment infrastructure that accommodates AI's unique operational characteristics is highlighted, with various companies exploring standards for AI payment protocols [12][17] Group 3: Future of Financial Services - The integration of financial services into AI's operational framework is anticipated, leading to a more seamless and personalized user experience [16][17] - Financial activities are expected to become more dynamic and context-aware, moving away from static products to real-time, personalized services [16] - The role of traditional financial institutions may evolve, with a shift towards AI and agents becoming the primary interface for financial transactions [16][17]

2049 这次去的最大感受，就是发现和不少朋友们形成了 CEX 掌握了现阶段定价权的共识。从商业的角度来说，对这种趋势的理解不应该有偏好，发现趋势的时候尊重就完事了。而赛道的话， AI、稳定币、和 Robotics 仍是三个众人 fomo 的赛道项目本身来说，这次我也有几个比较看好的。先说第一个 @GoKiteAI 吧，看到不少人已经对项目的 PayPal 太子豪华背景有过介绍了，我就说两点不一样的：第一块就是人的部分，创始人 @ChiZhangData 给我的印象很深刻，对行业有比较深的了解之外在技术领域也很有研究，以及 @0xLaughing 我的好朋友！！加入 Kite 让 Kite 如虎添翼了第二块就是赛道的部分。CEX 既然掌握定价权的话，就要关注他们都在 fomo 什么了。比如，CZ 在 8 月底在香港发言，着重强调了 AI 与 Web 3.0 融合是势不可挡的，具体在支付层面上，AI 的货币体系必然是基于数字货币和区块链稳定币支付在走向主流，Kite AI 作为第一个面向 Agentic Internet 的用稳定币实现 AI 支付的公链，未来的发展前景值得高度期待原文链接我放评论区。那天的 d ...

Core Viewpoint - The People's Bank of China approved the name change of Alipay (China) Network Technology Co., Ltd. to Alipay Payment Technology Co., Ltd., reflecting the company's governance upgrade under the "dual flywheel" strategy, while maintaining the Alipay brand and app name [1][2][5]. Group 1: Company Name Changes - Alipay's main operating entity has been renamed from Alipay (China) Network Technology Co., Ltd. to Alipay Payment Technology Co., Ltd. [2] - Alipay (Hangzhou) Information Technology Co., Ltd. will also change its name to Alipay (Hangzhou) Digital Service Technology Co., Ltd. [2][5]. Group 2: Strategic Direction - The name changes align with Ant Group's strategic direction, which includes "AI First," "Alipay Dual Flywheel," and accelerating globalization [5]. - The establishment of two major business groups, Digital Payment and Alipay, aims to enhance product innovation and user growth [5]. Group 3: Leadership Changes - Zhu Lin has been appointed as the Vice General Manager (Technical Head) of Alipay, previously serving as the Chief Technology Officer of Ant Group's Digital Payment business group [5][6]. Group 4: Technological Innovations - Alipay has introduced the "Tap to Pay" feature, allowing users to complete payments by tapping their phones, which has seen user adoption surpassing 200 million [6]. - The company has launched the "AI Pay" service, the first of its kind in China, aimed at providing payment solutions for AI entities [6][7]. Group 5: Market Growth Predictions - Predictions indicate that new interactive payment methods may exceed 50% in the next five years, with a tenfold increase in diverse smart device payments [7]. - The AI payment market is expected to reach a trillion-level scale, driven by the growth of the AI industry and smart terminal proliferation [7]. Group 6: Recent Developments - Alipay has introduced new AI features, including a voice search function and AI assistant tools for various services, enhancing the app's intelligence [7][8]. - The AQ health application, launched by Ant Group, has served over 140 million users, with a significant portion from lower-tier cities [8].

Group 1 - The core viewpoint of the article is that Alipay is undergoing a rebranding process as part of Ant Group's strategic governance upgrade, specifically under the "Alipay Dual Flywheel" strategy [1] - Alipay (China) Network Technology Co., Ltd. has been renamed to Alipay Payment Technology Co., Ltd., while Alipay (Hangzhou) Information Technology Co., Ltd. is now Alipay (Hangzhou) Digital Service Technology Co., Ltd. [1] - The rebranding aims to enhance payment technology innovation, focusing on initiatives like "tap-to-pay" and "AI payment" [1] Group 2 - Alipay Payment Technology Co., Ltd. will continue to serve as the sole operating entity for Ant Group's payment business [1] - Alipay (Hangzhou) Digital Service Technology Co., Ltd. will focus on increasing product technology research and development in the AI era, supporting the digital transformation of China's service industry [1]

Core Viewpoint - Google and Coinbase have launched a new protocol called AP2 (Agentic Payments Protocol) aimed at enabling AI agents to make secure payments autonomously [1][2]. Group 1: Challenges Addressed by AP2 - The emergence of AI agents capable of executing complex tasks raises concerns about how these agents can safely handle payments [3]. - Google identifies three core challenges in AI payments: Authorization, Authenticity, and Accountability [4][7]. - Without a unified standard, the market could become chaotic and insecure, which AP2 aims to address by providing an open solution [7]. Group 2: Mechanism of AP2 - AP2 introduces a concept called "Mandate," which acts as a verifiable authorization step before payment is made, ensuring that user intent is accurately captured and protected [8]. - The protocol transforms the traditional "click to buy" model into a more rigorous "contractual dialogue" model, binding user intent, AI actions, and final payments together [8]. Group 3: Use Cases of AP2 - AP2 is designed for two main scenarios: real-time purchases where the user is present and delegated purchases where the user is not present [12]. - In real-time purchases, users must confirm and sign off on a shopping cart before AI can complete the payment [12]. - In delegated purchases, users provide pre-authorization for AI to act on their behalf under specified conditions [12][13]. Group 4: Role of Coinbase - Coinbase plays a crucial role by integrating cryptocurrency, particularly stablecoins, into the AP2 protocol, allowing AI agents to have their own wallets [14][15]. - This integration addresses the challenge of AI agents lacking legal identities to open traditional bank accounts, facilitating efficient micro-payments between AI agents [15]. Group 5: Ecosystem and Support - The AP2 protocol is supported by over 60 leading companies across various sectors, including traditional payment giants and blockchain firms, ensuring compatibility with multiple payment methods [17][21]. - This broad collaboration aims to prevent fragmentation of technology standards and promote interoperability for future smart commerce [21]. Group 6: Future Implications - The introduction of AP2 paves the way for the "Agent Economy," where AI can autonomously handle complex tasks and transactions, enhancing user experience and creating new business models [22][23]. - While still in early stages, the protocol's potential impact on shopping and service delivery is significant, allowing users to delegate complex tasks to AI [23].

Group 1 - Li Feifei's company World Labs launched the spatial intelligence model Marble, capable of generating large-scale 3D worlds from a single image or text prompt [1] - Marble offers larger scale, more diverse styles, and cleaner geometric structures compared to previous products, supporting free navigation in browsers [1] - Users can export generated worlds as Gaussian point clouds for efficient operation on desktop, mobile devices, and VR headsets, with whitelist testing now open [1] Group 2 - Google partnered with over 60 institutions, including American Express and PayPal, to introduce the AI Payment Protocol (AP2) aimed at creating a secure standard for AI agent payments [2] - AP2 builds trust through "Mandates," using encrypted digital contracts as proof of user instructions, allowing pre-authorization for AI agents to make purchases under specific conditions [2] - The protocol supports real-time purchases and automated tasks without human involvement, with an encrypted version A2A x402 enabling stablecoin payments, and a GitHub repository is available for developers [2] Group 3 - Anthropic plans to invest $10 billion to create enterprise application clones, while OpenAI expects to spend $8 billion on data-related costs by 2030 [3] - Both companies are training AI models to operate various professional software using a "reinforcement learning environment" that simulates enterprise applications [3] - They may hire domain experts to demonstrate task execution, aiming to develop AI as "virtual colleagues" and open new revenue streams [3] Group 4 - Tencent Cloud announced the global launch of its upgraded Intelligent Agent Development Platform 3.0 (ADP3.0), which has seen nearly 600 features launched in the past three months [4] - The platform upgrade includes enhanced knowledge base management, multi-agent collaboration support, global agent visibility in workflows, and instant command capabilities [4] - Targeted industry agents for smart quality inspection and media content processing have been introduced, with Youtu-Agent framework and Youtu-GraphRAG knowledge graph framework set to be open-sourced [4] Group 5 - Disney, Warner Bros., and Universal Pictures filed a lawsuit against Chinese AI company MiniMax, accusing it of unauthorized use of IPs like Spider-Man for AI training [5] - The companies seek restitution for infringement profits and damages of up to $150,000 per infringement, along with a permanent injunction to prevent MiniMax from using related IPs [5] - MiniMax previously faced similar accusations from iQIYI regarding the drama "Canglan Jue," highlighting significant risks in IP imitation within AIGC [6] Group 6 - The AI tool ima has been updated to support audio file uploads in formats like MP3, M4A, WAV, and AAC, enabling automatic generation of transcripts, summaries, and notes [7] - The update includes a screenshot shortcut feature for desktop users, allowing direct questioning, knowledge base addition, or note-taking after capturing images [7] - Mobile note-taking now supports offline editing and creation, with automatic synchronization once reconnected to the internet [7] Group 7 - YouTube introduced a generative AI tool for Shorts creators, incorporating a customized version of Google's text-to-video model Veo 3, enabling low-latency content generation at 480p resolution [8] - The new version allows for sound addition and dynamic effects application to static images [8] - YouTube also launched a "voice-to-song" remix tool based on Google's Lyria 2 and an "AI editing" feature that automatically organizes highlights, adds music, and transitions [8] Group 8 - Figure, a humanoid robotics company, completed a Series C funding round, raising over $1 billion and achieving a post-money valuation of $39 billion, the highest in the embodied intelligence sector [9] - The funding round was led by Parkway Venture Capital, with participation from Nvidia and Intel Capital, aimed at expanding production capacity and building GPU infrastructure [9] - Figure has rapidly progressed since parting ways with OpenAI, launching the Helix end-to-end "vision-language-action" model, with robots capable of complex tasks like folding clothes and sorting packages [9] Group 9 - Huawei released two research reports, "Intelligent World 2035" and "Global Digital Intelligence Index 2025," forecasting key technological trends and their industry impacts over the next decade [10] - The reports predict ten major trends, including AGI as a transformative force, AI agents evolving from execution tools to decision-making partners, and human-machine collaborative programming becoming mainstream [10] - It is anticipated that by 2035, total computing power will increase by 100,000 times, AI storage capacity demand will grow by 500 times compared to 2025, and renewable energy generation will exceed 50% [10] Group 10 - Shopify shared insights on the evolution of its AI assistant Sidekick, recommending a simple architecture, clear tool boundaries, and a modular design approach [11] - The company suggested replacing "golden datasets" with "benchmark truth sets" that reflect real production environments, aligning large language model evaluations with human assessments [11] - Shopify warned about "reward hacking" issues and advised establishing detection mechanisms in advance, combining programmatic validation with semantic evaluation to create a multi-layer reward system [11]

Core Viewpoint - The article discusses the rapid growth and innovation of Alipay's "Tap to Pay" feature, which has reached over 200 million users in a short period, indicating a significant shift in payment interaction and user experience in the mobile payment landscape [3][29]. Group 1: User Growth and Market Impact - Alipay's "Tap to Pay" feature achieved over 200 million users in less than 400 days, significantly faster than previous milestones [3][29]. - This feature has created a new entry point for users, spreading across over 400 cities and involving more than 5,000 brands and millions of businesses [4][5]. - The growth of "Tap to Pay" is particularly notable in a time when overall internet user growth is slowing down, marking it as a unique achievement [6][29]. Group 2: Innovation in Payment Interaction - "Tap to Pay" represents a new form of interaction in mobile payments, akin to the intuitive multi-touch interface of the iPhone, which lowered the psychological barrier for users [13][45]. - The feature is designed to be instinctive, requiring minimal cognitive load from users, thus facilitating a more natural payment process [33][45]. - The introduction of "Tap to Pay" is seen as a strategic move by Ant Group to innovate beyond traditional payment methods, focusing on enhancing user experience through intuitive interactions [17][31]. Group 3: Technological Development and Collaboration - Ant Group has collaborated with major smartphone manufacturers to optimize the "Tap to Pay" experience, ensuring compatibility and performance across devices [25][26]. - The development of the first generation of "Tap to Pay" devices involved extensive testing and collaboration with suppliers to achieve the desired quality and user experience [23][24]. - The revival of NFC technology in the market has been significantly influenced by the introduction of "Tap to Pay," leading to a broader ecosystem of related industries [26][29]. Group 4: Marketing and User Engagement - Ant Group's marketing strategy aims for widespread adoption, targeting local markets to ensure that "Tap to Pay" is accessible and familiar to users [28][29]. - The feature has been integrated into various applications and scenarios, enhancing its utility and encouraging user engagement [40][42]. - The success of "Tap to Pay" has led to increased stock prices for associated companies, indicating market recognition of its value [43]. Group 5: Future Directions and AI Integration - Ant Group is exploring further innovations in payment interactions, including "Look to Pay" and "Say to Pay," which aim to simplify the payment process even more [47][52]. - The integration of AI into payment systems is seen as a key future direction, with the goal of creating seamless and intuitive user experiences [46][55]. - The company's focus on reducing transaction costs and enhancing user experience positions it for significant growth in the evolving digital payment landscape [66][71].

Core Insights - The Hong Kong Technology ETF (513560) has seen a significant increase, with a nearly 2% jump on September 11, 2025, marking its fourth consecutive rise and reaching a new high since its inception [1] - The ETF has achieved an impressive 88.27% net value increase over the past year, ranking first among comparable funds [2] - The underlying index, the CSI Hong Kong Stock Connect Technology Index, consists of 50 large-cap technology companies with high R&D investment and revenue growth, reflecting the overall performance of technology leaders in the Hong Kong Stock Connect [2][5] Performance Comparison - The CSI Hong Kong Stock Connect Technology Index has outperformed other indices, with a cumulative increase of 60.63% from 2018 to September 11, 2025, compared to 6.11% for the Hang Seng Technology Index and 0.56% for the Hong Kong Stock Connect Internet Index [2][3] - Over the past year, the CSI Hong Kong Stock Connect Technology Index has increased by 90.96%, while the Hang Seng Technology Index rose by 70.64% [3] Fund Details - As of September 11, 2025, the Hong Kong Technology ETF has reached a size of 770 million yuan, with 520 million shares outstanding, both marking new highs since its establishment [5] - The ETF has seen a net inflow of 8.89 million yuan recently, with a total of 58.60 million yuan net inflow over the past five trading days [5] Market Trends - The U.S. investors' interest in the Chinese market has reached its highest level since 2021, particularly in areas like humanoid robots, biotechnology, and drug development [4] - The Hong Kong internet sector is highlighted for its potential due to self-developed AI chips and cloud business expansion, alongside attractive valuations and improving asset quality [4]