Core Insights - TNL Mediagene successfully hosted INSIDE Future Day 2025 in Taipei, attracting over 400 registrations and releasing a white paper on AI Agent technologies [1][5][3] - The event focused on the transition from generative AI applications to more autonomous task support within enterprises, highlighting the implications for enterprise operations [2][4] Event Overview - INSIDE Future Day has been the flagship technology event for the company since 2019, bringing together key figures from the tech industry, including entrepreneurs, investors, and senior executives [2][5] - The 2025 forum emphasized the theme "Next-Gen AI Agents: Building a New Era of Human-AI Collaboration," discussing how AI Agent technologies may influence enterprise processes and decision-making [2][3] White Paper Insights - The newly released white paper titled "AI Agent Era: Enterprise Adoption in Taiwan and Future Challenges" is based on interviews with over 20 AI Agent solution providers and survey responses from more than 150 enterprise decision-makers [4][5] - Findings indicate a growing focus on autonomous task support, multimodal understanding, and structured frameworks for evaluating AI technologies [4][6] Industry Engagement - The event featured insights from notable figures in technology, including Andrew Mayne and Lee-Feng Chien, who shared their experiences and perspectives on AI advancements [3][5] - The forum attracted a diverse audience from technology and business sectors, reflecting a broad interest in AI and its applications [3][5] Future Directions - The company aims to continue developing research and knowledge resources to support industry stakeholders in monitoring advancements in AI technologies [8][7] - The emphasis on AI Agents at the forum highlights the ongoing evolution of these technologies and their potential impact on long-term enterprise planning [7][6]

Core Insights - The AI market continues to grow, with increasing investments and enthusiasm, but there is a growing anxiety about the ultimate destination of the current AI wave and the correct approach to implementation [1] - The focus should not be on achieving AGI (Artificial General Intelligence) but rather on leveraging existing AI capabilities to create significant value in various industries [1][6] Group 1: Industry Evolution and Insights - The evolution of AI from 1.0 to 2.0 has been marked by a shift from limited practical applications to more reliable and scalable solutions [3][4] - The current AI landscape is characterized by a focus on integrating AI into business processes, particularly in sectors with high repetitive tasks [9][19] - The introduction of AI agents and platforms, such as "Lingda," aims to address complex industry needs, particularly in heavy industries like energy and manufacturing [5][19] Group 2: AI Technology and Application - The current AI models, while advanced, are seen as being in a state of diminishing returns, where incremental improvements are harder to achieve [13][15] - The real value of AI lies in its ability to automate and enhance routine tasks, freeing up human workers for more valuable cognitive work [9][19] - The process of structuring expert knowledge into AI systems can significantly enhance operational efficiency and decision-making in industries [25][27] Group 3: Market Dynamics and Future Outlook - The AI industry is experiencing a shift where the focus is moving from model development to practical application and integration into existing business processes [18][19] - Companies that can effectively leverage their industry knowledge and data will thrive, while those relying solely on external suppliers may struggle [38][39] - The differences in AI implementation strategies between China and the U.S. highlight a more pragmatic approach in China, focusing on integrating AI into core production processes [41][45]

你最近一次打开电视机是什么时候？看春晚？追苏超？ 猛然发现，那个全家守在电视机前的年代，早已一去不复返，纵使刚刚过去的双十一狂欢，头部电视品牌无一例外交出了一份充满寒气的成绩单… 八大品牌集体遇冷！ 今年11月，因包含了'史上最早启动、最长周期'的双十一大促而被一众电视巨头寄予出货厚望，然后现实却冰冷地扇了大家一巴掌：当月出货约322万 台，较上年同期大跌15.7%！ 图：连续13个月中国电视市场品牌出货月度走势，数据：RUNTO，单万：万台，% 据RUNTO（洛图科技）统计数据显示，2025年11月，中国电视市场品牌整机出货量约322万台，环比10月略微下降，同比去年11月，大幅下滑了15.7个百 分点，行业下行压力进一步凸显。 其中"10月6日至11月16日"的双十一大促周期，电视市场全渠道零售量同比大幅下降19.6%，零售额更暴跌22.1%，此番'量价双杀'的局面，让电商狂欢节 的促销以史无前例的失效方式呈现。 包括海信、TCL、小米、创维、长虹、海尔、康佳、华为，以及含子品牌的出货量市占率在95%以上，总量约308万台，同比下滑13.9%，也即中国电视市 场前八大主力品牌近乎全线下跌。 小米（包含红米 ...

2026年CES即将开幕，新一轮AI浪潮即将掀起，属于中国企业的AI+硬件出海之门持续敞开。36氪将携手同创伟业和创业观察栏目「摊牌」带您直击2026 CES现场。 图：haivivi创始人李勇，同创伟业投资人王晶，云鲸创始人张峻彬 "新一代的硬件创业公司，从踏上创业的第一天起，脑子里就装着一张世界地图。如果连做高溢价品牌的野心都没有，那就太没想象力了"，如今这句话正成 为越来越多科技、硬件创业者的共识。 全球视野是新一代硬件创业者的共同特质。背靠全球完整、高效的工业体系和完善的供应链网络，新一代具备品牌影响力的中国硬件公司在远洋搏击的战场 上捷报频传。 根据海关总署发布的数据，2025年前三季度我国高技术产品出口额达到3.75万亿，同比增长11.9%。 对中国企业来说，CES几乎成为出海亮相的第一站。越来越多智能硬件公司、AI 创业团队，都把 CES 视为进入全球市场的"首堂必修课"。这场"科技界的春 晚"，也是科技企业开年的最佳营销场域。 AI是近几年CES的核心议题，CES也是观察AI行业进化迭代的窗口。摩根士丹利预判，2026年将成为AI科技硬件迎来爆发式增长的关键之年。而这场爆发的 前哨战，将在20 ...

此次开源意味着硬件厂商、手机厂商和开发者均可基于AutoGLM，在自己的设备或系统中复现一个 能"看懂"屏幕、并模拟真人进行点击、输入、滑动的AI助手。目前，AutoGLM已支持微信、淘宝、抖 音、美团等超过50个高频中文应用的核心场景，其自动化操作能力与此前引发热议的"豆包手机"演示相 似。 智谱深夜开源其核心AI Agent模型AutoGLM。该模型被业界视为全球首个具备"Phone Use"(手机操作)能 力的AI Agent，能够稳定完成外卖点单、机票预订等长达数十步的复杂操作流程。 AutoGLM的开源将大幅降低AI手机的技术门槛，推动AI手机生态从封闭走向开放共创。同时，项目支 持本地与云端部署，确保数据与隐私控制权始终掌握在使用者手中。 ...

Core Insights - The core focus of the news is the announcement by Zhipu that it has open-sourced its core AI Agent model, AutoGLM, which aims to enable AI to perform mobile operations effectively, marking a significant advancement in AI capabilities [1][2]. Group 1: AutoGLM Development and Features - AutoGLM is designed to help users perform tasks on mobile applications, such as placing orders on food delivery apps and managing notifications [1]. - The model is set to be released on October 25, 2024, and is recognized as the first AI Agent with "Phone Use" capabilities [1]. - In 2025, Zhipu plans to launch AutoGLM 2.0, which will utilize algorithms like MobileRL, ComputerRL, and AgentRL to enhance the model's accuracy and generalization by conducting reinforcement learning across thousands of virtual device environments [1]. Group 2: Industry Context and Privacy Concerns - Zhipu is a leading AI large model company incubated by Tsinghua University, with a focus on developing next-generation cognitive intelligence models [2]. - The industry is shifting towards more practical AI agents that can not only communicate with users but also take actionable steps based on user input [2]. - Privacy and network security concerns are significant, particularly regarding the need for user authorization for screen reading permissions, which raises fears about personal information leakage and potential misuse by malicious entities [2][3]. Group 3: Competitive Landscape and Challenges - Recently, Doubao announced a technical preview of its mobile assistant, which has garnered market attention and led to a surge in ZTE's stock price [2]. - Users reported issues with the Doubao mobile assistant, including app crashes and login failures, which may be linked to the need for system-level permissions [3]. - Doubao has stated that while its assistant requires screen reading capabilities, it does not store user screen content in the cloud, aiming to ensure user privacy [3]. - Zhipu has opted for a cloud-based deployment for AutoGLM to allow for action replay, auditing, and intervention, thereby isolating sensitive data [3].

Core Viewpoint - The open-sourcing of AutoGLM by Zhipu AI marks a significant shift in the mobile industry, enabling the creation of AI agents that can operate smartphones similarly to human users, thus democratizing access to advanced AI technology [4][9][19]. Group 1: Open-Sourcing of AutoGLM - Zhipu AI has officially open-sourced its core AI Agent model, AutoGLM, which has been in development for 32 months and possesses the capability to operate mobile devices [1][4]. - The open-sourcing is seen as a "table-turning" move, allowing hardware manufacturers and developers to create personalized AI assistants that can interact with various applications [4][9]. - AutoGLM supports over 50 high-frequency Chinese applications, enabling automated operations similar to the recently launched "Doubao phone" [4][8]. Group 2: Industry Context and Reactions - The announcement comes after the launch of the "Doubao phone" by ByteDance and Nubia, which caused significant disruption in the tech industry and prompted major companies to implement defensive measures against its capabilities [6][8]. - The "Doubao phone" was able to perform complex tasks across applications, leading to a swift market response and concerns over privacy and data control from major internet companies [8][9]. Group 3: Technical Innovations - AutoGLM's development involved creating a framework that allows AI to understand and interact with mobile interfaces, marking a significant evolution from previous systems [12][15]. - The model utilizes Android Debug Bridge (ADB) commands combined with visual models to perform human-like operations, making it difficult for app developers to implement effective defenses [15][18]. - Zhipu AI has addressed privacy concerns by allowing data to remain on the user's device, thus countering arguments from major companies about potential data breaches [18]. Group 4: Implications for the Mobile Industry - The open-sourcing of AutoGLM is expected to reshape the mobile industry, similar to how autonomous driving has transformed the automotive sector, providing a new competitive edge for hardware manufacturers [20]. - Major internet companies face challenges as users can bypass traditional app interfaces, potentially disrupting their established flow of traffic and revenue [23]. - Individual developers are empowered to create specialized AI agents, leading to a more diverse ecosystem of applications and services [24]. Group 5: Conclusion - The open-sourcing of AutoGLM signifies a fundamental shift in user and developer control over mobile technology, indicating the decline of closed ecosystems and the rise of a new era in intelligent mobile interactions [28].

每经AI快讯，12月9日，智谱宣布开源其核心AI Agent模型 AutoGLM，该模型是一款具有"Phone Use"（手机操作）能力的 AI Agent，能够稳定地完成外卖点 单、机票预订等复杂操作流程。 （文章来源：每日经济新闻） ...

智谱宣布开源其核心AI Agent模型AutoGLM，该模型是一款具有“Phone Use”（手机操作）能力的 AI Agent，能够稳定地完成外卖点单、机票预订等复杂操作流程，操作步骤可长达数十步。智谱表示，希望通过开源和私有化部署，企业和开发者可以在自己的合规环境中完整掌控数据、日志和权限，可以让手机，成为专属自己的AI手机。外汇交易员 (@myfxtrader):在经历微信与银行金融类APP的风控干预后，豆包手机助手宣布对金融类APP操作、激励刷分操作与部分游戏应用的操作能力进行限制。 https://t.co/mu3ZyzpqdM ...

人民财讯12月9日电，12月9日，智谱开源其核心AI Agent模型AutoGLM。该模型是具备"Phone Use"（手机操作）能力的AI Agent，能够稳定完成外卖点单、机票预订等长达数十步的复杂操作流程。 这意味着硬件厂商、手机厂商和开发者均可基于AutoGLM，在自己的设备或系统中复现一个能"看 懂"屏幕、并模拟真人进行点击、输入、滑动的AI助手。目前，AutoGLM已支持微信、淘宝、抖音、美 团等超过50个高频中文应用的核心场景，其自动化操作能力与此前引发热议的"豆包手机"演示相似。 ...