Group 1 - The company has integrated its artificial intelligence-powered Ernie Assistant into its flagship Baidu search-engine app and on personal computers [1]

除了阿布扎比外，萝卜快跑在中东不断拓展合作。1月6日，萝卜快跑获得迪拜道路与交通管理局 （RTA）颁发的首个全无人驾驶测试许可，成为迪拜目前唯一获准开展全无人测试的企业，同时其首个 海外运营基地宣布投入使用，为今年一季度在迪拜启动全无人商业化运营提供了坚实支撑。根据规划， 萝卜快跑在迪拜地区的全无人驾驶车队规模将扩充至1000辆以上。 去年2月，百度创始人李彦宏还出席了在迪拜举办的World Governments Summit 2025峰会，并与阿联酋 AI部长奥马尔·苏丹·奥拉马进行对谈。部长在对谈中表示，"期待在明年的大会上，所有车队都是由萝卜 快跑支持的自动驾驶。" 近日，萝卜快跑与阿联酋自动驾驶出行公司AutoGo宣布，在阿布扎比正式启动面向公众的全无人驾驶 商业化运营。即日起，当地居民和游客可通过AutoGo App呼叫萝卜快跑全无人驾驶车辆，服务率先从 亚斯岛（Yas Island）开始，并计划逐步拓展至阿布扎比更多区域。 据了解，这是萝卜快跑首次在海外推出面向公众的全无人驾驶出行服务，标志着中国无人驾驶技术在商 业化与国际化进程中迈出关键一步。亚斯岛是中东知名的综合性度假区，汇集了法拉利世界、 ...

Core Viewpoint - The article posits that ByteDance's Zhang Yiming is likely to become the richest person in China over the next decade due to his strong motivation, learning ability, execution power, and the resources of ByteDance, which are expected to drive significant growth in various sectors, including mobile, automotive, and space computing [4][5]. Industry Insights - In the mobile internet era, there were 10 apps in China with over 500 million MAU, but in the AI era, it is anticipated that only 3-4 Super Apps will achieve this milestone [4][5]. - The DAU/MAU ratio is expected to increase, with 500 million MAU likely corresponding to approximately 350 million DAU, enhancing the value of Super Apps compared to the mobile internet era [5]. - The article emphasizes that the value of Super Apps is greater than that of leading robotics companies, as Super Apps control entry points and can generate excess commercial returns [6]. Competitive Landscape - The competition for AI Native Super Apps is intensifying, with Alibaba's Qwen and ByteDance's Doubao positioned as key players. The article highlights the strategic moves of Alibaba to prevent Meituan from launching a competing Super App [8][9]. - Other companies like Tencent, Meituan, Pinduoduo, JD, and Baidu are also seen as potential contenders in the Super App battle, while smaller players may struggle to compete [9][10]. - The article suggests that Meituan's exit from community group buying is part of a broader AI strategy to position itself for the Super App market [10][11]. Future Projections - The article predicts that the AI Native Super App market could reach a revenue potential of 1 trillion RMB, urging companies to act quickly to launch their AI applications [11]. - Huawei is positioned to dominate the automotive sector but is unlikely to enter the Super App market due to its strategic focus on other areas [12]. - Tencent is recognized for its stability and product matrix, with the potential to maintain a significant role in the AI Native Super App landscape, although ByteDance's Doubao is gaining influence among younger users [12].

Accessible version Internet - Asia Pacific Year Ahead 2026: Stable Core, Dynamic Edge; Year of Real AI Adoption Price Objective Change YA2026: Stable fundamentals & reasonable valuations Fundamentals of Asia internet names remain steady going into 2026 given stable competition (barring a few pockets), improving regulatory clarity, focus on balancing revenue growth with profitability and investor concerns on unrestricted cash-burn going down. We remain positive on travel (resilient spends), gaming (AI driven ...

Core Insights - The article emphasizes the significance of AI in investment decisions, particularly in the context of Chinese internet companies and their overseas revenue potential [2][3]. Group 1: Overseas Revenue of Chinese Internet Companies - Chinese internet companies have an average overseas revenue exceeding 10%, with Pinduoduo leading at 35% [3]. - Companies like Tencent and Alibaba have low to high teens percentages of overseas revenue, indicating a growing trend towards international markets [3]. Group 2: Cloud Computing Sector - Alibaba Cloud and Tencent Cloud are rapidly expanding their international presence, with Alibaba planning new business regions in Brazil, France, and the Netherlands, and Tencent deploying services in 22 regions globally [4]. - Morgan Stanley projects that Alibaba Cloud's revenue growth will exceed 40% by FY2027, while Tencent's enterprise service revenue is expected to grow by 25% by FY2026 [5]. Group 3: Autonomous Driving Services - Baidu's autonomous driving service, "Luobo Kuaipao," is a leader in the sector, achieving over 250,000 weekly orders in fully autonomous mode as of Q3 2025, and has expanded to 22 cities including Dubai and Switzerland [7]. - Despite its leadership, Morgan Stanley anticipates that Baidu's revenue from this service will remain low and require continued investment [9]. Group 4: AI Models and Applications - Alibaba's Tongyi Qianwen model has gained significant traction globally, becoming the most downloaded AI model with over 700 million downloads by January 2026 [11]. - Kuaishou's Keling is expected to generate substantial revenue from overseas markets, with projections indicating an 80% year-on-year growth to reach $270 million by 2026, driven by B2B customer expansion [14].

Core Insights - The global tech giants are intensifying their efforts in the AI healthcare sector, with Chinese companies adopting pragmatic approaches that are becoming essential [1] - The AI healthcare market in China is experiencing rapid growth, driven by an aging population and a structural imbalance in quality medical resources [7] Group 1: Major Players and Their Strategies - OpenAI's ChatGPT Health focuses on consumer engagement, allowing users to upload medical records for personalized health advice, processing over 230 million health interactions weekly [2] - Google has launched the MedGemma 1.5 model, which operates offline and supports 3D scanning and medical text analysis, with a speech-to-text error rate of only 5.2% [2] - Anthropic targets the enterprise market with Claude for Healthcare, emphasizing privacy and compliance, and has partnered with institutions like Boston Children's Hospital [2] Group 2: Chinese Companies' Developments - Health 160 has connected over 44,800 healthcare institutions and developed an AI health management system that covers the entire patient journey, achieving a content click-through rate increase of 90% [3][4] - JD Health aims to evolve AI from a tool to a core engine for personalized health management, launching the "Zhi Yi" AI for evidence-based medicine [5][6] - JD Health's AI initiatives include a comprehensive health service matrix and specialized systems for cancer treatment, showcasing the potential of AI in personalized medicine [6] Group 3: Market Trends and Challenges - The AI medical device market in China is projected to grow from 292 million yuan in 2020 to 24.2 billion yuan by 2025, highlighting the sector's rapid expansion [7] - The competitive focus in AI healthcare is shifting from utility to stable, compliant, and sustainable implementation, with ecological layouts being crucial for achieving these goals [7] - Challenges include data privacy, ethical standards, and the need for improved data quality and interoperability among healthcare systems [8] Group 4: Future Directions - The future of AI healthcare in China will see a complementary relationship between major players' comprehensive strategies and targeted niche developments [9] - As technology matures, AI models are expected to further empower the healthcare industry, shifting the focus from treatment to proactive health management [9]

华泰证券则表示"（港股）情绪指标当前已经脱离恐慌区间，且空头比例明显下行，目前已到右侧收获 期"，同时指出港股"一季度市场反弹的核心因素并未发生根本变化"，包括：金融条件整体偏宽松、外 资和南向共振回流、盈利预期上修、AH比价下港股性价比再度凸显等。 中金公司指出："港股去年10月后偏弱因素有三：一是港股特色结构都不是焦点；二是资金面处于弱势 （美债利率居高不下，南向资金偏弱，港股IPO节奏加快）；三是更多反映基本面走弱。"但上述因素 到2026年，都将迎来转机。中金认为，短期看，"是否会因赛道降温将关注点推向港股、小盘价值甚至 大盘成长"。 在市场对港股反弹尚未形成共识时，部分聪明资金已逢低布局： 近日，不少机构建议关注港股成长板块，在本轮上涨中涨幅相对较少，若有合适的回撤买入机会，是不 错的介入时机。 财通证券看好恒生互联网的胜率，当前利多因素包括"平台经济支持+受益放权给企业，AI方面仍有潜 在催化，叠加两国关系进一步改善+人民币升值被动外资流入"。 1）外资方面，截至上周三，EPFR口径下外资净流入港股28.2亿美元（vs 前一周净流入15.4亿美元）， 其中主动型外资转为净流入1.6亿美元，创202 ...

Core Viewpoint - The article discusses the evolution of online disputes in China, highlighting how they have escalated from anonymous forum arguments to public confrontations and legal battles, reflecting the growing intensity and complexity of internet culture and conflicts in the digital age [1][2][3][4][5]. Group 1: Historical Context of Online Disputes - The evolution of internet argumentation has progressed from early anonymous exchanges to real-name confrontations and live debates, indicating a shift in how disputes are handled online [3][4]. - Legal frameworks are increasingly relied upon to resolve disputes when consensus cannot be reached, marking a transition from informal to formal resolution mechanisms [5]. Group 2: Notable Disputes - The "Fang-Han War" in 2012, sparked by a blog post questioning the authenticity of writer Han Han, became a significant cultural event, showcasing the power of social media in shaping public opinion [6][7][8]. - The conflict escalated with Han Han offering a reward for evidence of ghostwriting, leading to a split in public opinion and further involvement from prominent figures like Fang Zhouzi, who intensified the scrutiny on Han Han's works [10][16][20]. - The "3Q War" between Tencent and Qihoo 360 highlighted the commercial aspects of online disputes, with both companies engaging in public and legal battles over user privacy and market dominance [21][22][31][32]. Group 3: Personal Confrontations in the Tech Industry - The 2014 live debate between Wang Ziru and Luo Yonghao over the evaluation of the Smartisan phone exemplified how personal and professional conflicts can draw massive public attention, with 2.5 million viewers tuning in [40][47]. - The debate showcased contrasting styles, with Luo presenting a prepared defense while Wang focused on clarifying his evaluation, leading to a heated public discourse [51][52][54]. Group 4: Escalation to Physical Confrontations - The incident between Wu Faitian and journalist Zhou Yan illustrates how online disputes can spill over into physical confrontations, culminating in a chaotic public altercation involving eggs and accusations of organized violence [56][68][75]. - This event reflects a concerning trend where online disagreements transition into real-world conflicts, raising questions about the societal implications of such behavior [78][81]. Group 5: Future of Online Disputes - As the internet matures, there is a movement towards more regulated and structured forms of discourse, with calls for disputes to be handled through media channels rather than public confrontations [81]. - The evolution of online conflict resolution indicates a shift towards a healthier internet ecosystem, where emotional outbursts are replaced by institutional frameworks for discussion and debate [81].

Group 1 - Keda Xunfei's Chairman Liu Qingfeng stated that the domestic AI infrastructure has taken initial shape, with domestic large models matching international standards despite having half the parameters [2] - Michael Burry warned that the era of tech giants earning huge profits with minimal investment is ending, primarily due to AI, and investors should focus on Return on Invested Capital (ROIC) rather than revenue growth [3] - A BlackRock survey revealed that while investors are optimistic about AI, they are shifting their investment focus towards energy and infrastructure suppliers, with only one-fifth considering large US tech companies as attractive investment opportunities [4] Group 2 - Demis Hassabis, CEO of Google DeepMind, indicated that Chinese AI models are only a few months behind those in the US and Western countries, with significant advancements made by Chinese developers [5] - DeepSeek released a new paper on conditional memory, significantly improving model performance in various tasks, and has open-sourced a related memory module [6] - Wang Xiaochuan, CEO of Baichuan Intelligent, mentioned that the company has 3 billion yuan on hand and may initiate an IPO plan in 2027 [7] Group 3 - Zhiyu and Huawei launched the first domestically trained multimodal SOTA model on local chips, achieving a full training process on the Ascend Atlas 800T A2 device [8] - Kuaishou announced that Keling AI's revenue exceeded $20 million in December 2025, with an annual recurring revenue (ARR) of $240 million [9] - Yongyou Network projected a net loss of 1.3 to 1.39 billion yuan for 2025, although it expects to reduce losses compared to the previous year [10] Group 4 - JD.com and Lenovo deepened their "hybrid AI" cooperation, launching new products at CES 2026, with a focus on strategic collaboration around smart devices and services [11] - Alibaba's Qianwen app integrated with various services, allowing users to order food and book flights through AI, marking a significant upgrade in functionality [12] - Alipay and partners released China's first AI commercial agreement, aimed at creating a universal language for AI tasks across platforms [13] Group 5 - Yunhai Medical launched the "YunJian AI Spirit," a product that reduces long-term costs for users by offering unlimited access to traditional Chinese medicine infrared algorithms [14] - Zhiyuan purchased thousands of hours of robot training data for various tasks [15] - Meituan released the open-source "ReThink" model, achieving state-of-the-art performance in several benchmarks [16] Group 6 - Teslian introduced the upgraded T-Cluster 512 super node architecture, designed for high-performance AI model training, with a total computing power exceeding 500 PFlops [17] - Keda Xunfei launched a marketing AI platform based on the "SuperAgent" framework, enhancing efficiency in marketing strategies [18] - The first domestically trained text-to-image model was released by Zhiyu and Huawei, completing the entire training process on local chips [19] Group 7 - Tencent Cloud ADP launched the first "AI-native Widget," enhancing task delivery experiences through natural language interaction [20] - Anthropic implemented stricter measures to prevent third-party tools from bypassing rate limits, affecting several developer projects [21] - Google announced a partnership with Walmart to expand AI model shopping capabilities, allowing direct transactions through its AI application [22] Group 8 - Mark Zuckerberg initiated the "Meta Compute" project, aiming to build substantial AI infrastructure by 2030, with a focus on collaboration with governments [23] - Meta plans to lay off hundreds of employees in its Reality Labs department, shifting focus from the metaverse to AI [24] - Alphabet's market value surpassed $4 trillion for the first time, joining a select group of companies [24] Group 9 - Nvidia and Eli Lilly will jointly invest $1 billion to establish an AI drug laboratory over the next five years [26] - The US relaxed export controls on Nvidia's H200 chips to China, potentially impacting the AI hardware market [27] - Microsoft announced a plan to limit the impact of data center energy costs and water usage on local communities [29] Group 10 - OpenAI is reportedly seeking US hardware suppliers for its planned consumer devices and cloud data center expansion [32] - Elon Musk's lawsuit against OpenAI is set to go to trial in late April [33] - OpenAI and Cerebras announced a partnership worth over $10 billion to deploy a large-scale AI inference platform [34] Group 11 - Zivariable Robotics completed a 1 billion yuan A++ round of financing, backed by major investors including ByteDance and Meituan [35] - Qiangnao Technology submitted a confidential IPO application in Hong Kong [36] - OpenAI agreed to acquire the AI health application Torch for approximately $100 million [37] Group 12 - K2 Lab, founded by a former DingTalk executive, secured tens of millions in seed funding to develop an AI-driven content e-commerce agent [38] - Alibaba Cloud completed a strategic investment in ZStack, achieving a controlling stake [39] - Skild AI raised nearly $1.4 billion in funding, reaching a valuation of over $14 billion [40] Group 13 - WeLab completed a $220 million D-round strategic financing, the largest single round since its inception [41] - Merge Labs, a brain-machine interface startup, raised $252 million in seed funding, with OpenAI as a major investor [42] Group 14 - A report indicated that by 2026, the Chinese tech giants index is expected to surpass the US tech giants in profitability growth for the first time since 2022 [43] - China is accelerating the establishment of a data property registration system to enhance data circulation and value [44] - Storage prices are expected to surge by 40%-50% in Q4 2025 and again in Q1 2026 due to increased demand from AI and server capacity [45] Group 15 - A new AI model developed by US researchers can predict the risk of approximately 130 diseases based on sleep data [46] - Foreign investment firms are increasingly incorporating AI into their research processes in the Chinese market [47] - UBS believes the probability of an AI bubble in China is low, with monetization relying on cloud services and advertising [48] Group 16 - The number of AI companies in China has exceeded 6,200, with applications expanding across various industries [49]

Group 1 - Major blue-chip stocks mostly declined, with HSBC Holdings closing at HKD 128.695, up 0.15% from the previous close in Hong Kong; Tencent Holdings closed at HKD 612.833, down 0.76% [2] - Tencent Holdings reported a latest price of HKD 617.500, with a decrease of HKD 4.500 or 0.72%; its ADR price is HKD 612.833, reflecting a decline of HKD 4.667 [3] - HSBC Holdings had a latest price of HKD 128.500, increasing by HKD 0.300 or 0.23%; its ADR price is HKD 128.695, showing a slight increase of HKD 0.195 [3] Group 2 - Other notable stocks include China Construction Bank at HKD 7.830, down 0.25%, and Xiaomi Group at HKD 37.100, down 2.01% [3] - AIA Group saw a decline of HKD 1.300 or 1.53%, closing at HKD 83.550; its ADR price is HKD 83.075, down HKD 0.475 [3] - Meituan-W closed at HKD 100.000, down 0.79%, while JD.com saw a decrease of HKD 1.500 or 1.30%, closing at HKD 113.600 [3]