| 专场议题 | | | --- | --- | | 14:30-14:45 | . 小程序基础能力升级与性能优化 | | 14:45-15:00 | 微信开发者工具 2.0 智能开发 | | 15:00-15:15 | 0 微信开发者平台与多端能力 | | 15:15-15:30 | 微信网关与小程序安全防护 | | 15:30-15:45 | 微信云开发 AI 接入实践 | | --- | --- | | 15:45-16:00 | 小程序 AI 应用与成长计划 | | 16:00-16:15 | 小程序与智能硬件的生态协同 | | 16:15-16:30 | 华为:跨平台适配与体验提升 | | 16:30-16:45 | 雷鸟:AR智能眼镜上的微信小程序 | 近日，2026微信公开课PRO在广州举行。值得关注的是，HarmonyOS开发专家首次以官方分享嘉宾身份亮相开发者专场，并围绕"跨平台适配与体验提 升"这一主题，深入剖析了微信小程序在跨平台开发中的兼容性挑战与解决方案。 此次分享作为微信与HarmonyOS共建生态的一次具体实践，展现了双方在技术开发方面的积极交流与协作。 作为微信生态每年一度的核 ...

Core Insights - The article highlights the appointment of Pang Tianyu, a former senior research scientist at Sea AI Lab in Singapore, to Tencent as the Chief Research Scientist for Tencent's Mix Yuan and the head of multimodal reinforcement learning technology [1][5]. Group 1: Appointment and Role - Pang Tianyu officially joined Tencent on February 4, focusing on research in multimodal models for reinforcement learning, including generative and understanding models [1]. - Pang has an impressive academic background, having graduated from Tsinghua University with a bachelor's degree in 2017 and a PhD in 2022, and has published over 70 papers in top conferences and journals [3]. Group 2: Achievements and Contributions - During his time at Sea AI Lab, Pang's team won first place in several adversarial attack and defense competitions, including NIPS 2017 and GeekPwn 2018 [5]. - Pang has served as a reviewer for prestigious international conferences and journals such as ICML, NeurIPS, and CVPR, and has received multiple academic awards [5]. Group 3: Tencent's AI Strategy - At Tencent's annual meeting on January 26, CEO Ma Huateng mentioned that the Mix Yuan model underwent a "deep reconstruction" over the past year, emphasizing the company's efforts to attract talent and restructure its R&D team [6]. - Tencent Mix Yuan announced the open-source release of the Mix Yuan Image 3.0 model, which utilizes a mixture of experts (MoE) architecture with a total parameter count of 80 billion, of which approximately 13 billion are active parameters [6]. - As of now, Tencent Mix Yuan has developed a total of 3,000 image and video derivative models, with over 5 million downloads for video models and over 3 million downloads for the Mix Yuan 3D series models [6].

Core Insights - The market's reaction to Microsoft and Meta's AI strategies highlights a shift from valuing potential to demanding immediate results [2][10][11] Group 1: Microsoft’s Challenges - Microsoft reported earnings that exceeded expectations but saw a nearly 10% drop in stock value, resulting in a loss of $357 billion in market capitalization [1] - The company faces significant infrastructure constraints, particularly a lack of electrical power to utilize advanced AI chips, leading to inventory issues [3][4] - Microsoft's Azure revenue growth slowed from 40% in Q1 to 39% in Q2, indicating that even minor decelerations can be problematic given the high spending expectations [4][12] Group 2: Meta’s Advantages - Meta is also investing heavily in AI, with plans to increase spending to $135 billion in 2026, but its investments are already generating revenue [1][5] - The company reported a 24% increase in advertising revenue to $58.1 billion in Q4 2025, with AI improvements directly enhancing ad performance [6][13] - Unlike Microsoft, Meta's AI advancements can be implemented immediately within existing infrastructure, allowing for quicker monetization [7][8] Group 3: Market Dynamics - The market is transitioning to a "Show Me" phase, where companies must demonstrate that their AI investments are yielding immediate returns rather than just future potential [10][15] - Investors are now focused on the ability to deploy infrastructure and generate revenue within a visible timeline, rather than merely announcing large capital expenditures [11][14] - The divergence in stock performance between Microsoft and Meta illustrates the importance of execution and immediate results in the current investment climate [16]

Core Insights - The core theme of ByteDance's 2026 strategy is "Dare to Climb High Peaks," emphasizing the pursuit of significant opportunities in the AI era [1][2]. Group 1: AI Opportunities - The CEO highlighted that the immediate "peak" for ByteDance is the Dola assistant application, which is experiencing rapid user growth and improved product experience, although it still lags behind top global competitors [2][7]. - The company aims to enhance its AI model capabilities to be among the industry leaders and integrate existing product services through the assistant [8]. Group 2: Talent and Incentives - To achieve its goals, ByteDance plans to increase talent density and enhance incentives, ensuring that compensation and rewards are competitive globally [9][10]. - The company has reported a higher promotion rate and speed for employees compared to other leading firms, indicating a strong growth trajectory for early-career employees [9]. Group 3: Strategic Focus and Collaboration - The company emphasizes the need for strategic focus, operational efficiency, and building public trust to support its foundational services [11]. - ByteDance aims to respect user and client interests, particularly regarding data and privacy security, while fostering healthy industry relationships through external collaboration [11].

Core Insights - The article discusses the recruitment of AI talent by Pang Tianyu, a member of the MLNLP academic committee, who has recently joined Tencent's Mix Yuan as the Principal Research Scientist and Tech Lead of Multimodal Reinforcement Learning (RL) [1][2]. Group 1: Recruitment and Role - Pang Tianyu is actively recruiting AI talent for his team at Tencent Mix Yuan, focusing on Multimodal RL, which includes generative models (e.g., diffusion models) and understanding models (e.g., VLMs) [1][2]. Group 2: Background and Achievements - Pang Tianyu is a PhD student from Tsinghua University's Computer Science Department, class of 2017, under the supervision of Professor Zhu Jun, with a research focus on machine learning and deep learning robustness [3][4]. - He has published multiple papers as the first author (including co-first authorship) at top machine learning conferences such as ICML, NeurIPS, and ICLR, and has been selected for Oral or Spotlight presentations multiple times [3][4]. - Pang's team has won first place in several adversarial competitions, including NIPS 2017 and GeekPwn 2018 [4]. - He has served as a reviewer for prestigious international conferences and journals, including ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, and TPAMI [4]. - Pang has received several awards, including the Microsoft Scholarship and the NVIDIA Academic Pioneer Award, and worked as a Senior Research Scientist at SeaAl Lab in Singapore after graduating from Tsinghua [4].

机器之心编辑部 刚刚，腾讯「青云奖学金」正式在深圳颁奖。 作为腾讯支持青年人才和科学研究的项目，「青云奖学金」首期评选出 15 位获奖者，并为每位获奖者提供总价值 50 万的激励，包括 20 万现金和价值 30 万的云 异构算力资源。 「我们希望青年研究者敢于探索未知、富有创新精神，追逐那些大胆的、前沿的、具有长远影响力的科研方向，共同探索更广阔的科技前沿。」腾讯集团高级副 总裁、首席人才官奚丹说。 不久之前正式入职腾讯出任「CEO / 总裁办公室」首席 AI 科学家的姚顺雨（Vinces Yao），也现身为获奖者颁奖。 白雨石 来自清华大学的白雨石，研究领域涉及长上下文大模型与大模型评测。截至目前，他已在 NeurIPS、ICML、ICLR、ACL 等国际顶会发表 10 篇一作论文，总引用 量 4000 + 次，一作论文被引近 2000 + 次。开源的 LongBench、Long-Writer、LongAlign 等工作在 GitHub 共获 3000+ stars 及 300+ forks，在 HuggingFace 上开源的 数据集和模型共被下载 200 万+ 次。 吉嘉铭、董冠霆、张金涛等多位机器之 ...

移动应用服务丨研究报告 摘要： 市场、用户、技术等多维度因素，驱动轻量化应用蓬勃发展 市场环境：移动网民规模增速持续放缓，超级应用揽获超六成有效使用时长，移动应用存量市场竞争加剧。 开发者需转变业务逻辑，借轻量化应用实现业务可持续增长。 用户需求：轻量化应用拥有广泛用户基础，获得近九成用户青睐，彰显出广阔发展前景。其展现出的用户对 简洁高效的追求、对设备性能的关注、对纯净体验的渴望，也为开发者指明了方向。 技术发展：跨平台框架、云计算赋能、模块化设计，为轻量化应用的繁荣提供了技术基石。 轻量化应用生态发展成效初显，并与传统应用互补共生 发展现状：微信、抖音、支付宝等超级应用，以及鸿蒙元服务、安卓快应用、苹果轻App，共同形成轻量化 应用生态。当前轻量化应用超800万款，成为用户访问移动应用服务的重要入口。 互补逻辑：传统应用生态成熟、功能完整，支撑深度体验并沉淀核心用户；轻量化应用转化路径短、开发成 本低，契合碎片化场景且支持快速试错，二者协同构建出移动应用服务矩阵。 作为轻量化应用代表，元服务全链路解决开发者痛点，赋能应用开发运营过程 分发获客：元服务立体分发矩阵覆盖全域流量，鸿蒙意图框架驱动元服务高效分发 ...

话说，腾讯前两天刚开完年会，马化腾罕见地推广了自己元宝的新功能，并讲述了腾讯的AI战略。而另一边厢，字节跳动也没闲 着，今天也开了个全员会，而在内部会上，字节跳动CEO 梁汝波认为公司2026年的关键词就是"勇攀高峰"。 啥意思呢？简单来说， 就是，字节要用攀AI高峰，短期内的重点依然是AI助手应用，比如豆包和Dola （海外版AI助手）。 而对于大势的回顾和展望，梁汝波也坦言，"2022 年底 ChatGPT 出来后，很多人问 AI 的应用方向是什么，我们当时就觉得'助 手'是重要方向，基本判断是一个比搜索更大的应用。"（"字节范儿"官方账号披露） 简单来说， 正是因为字节跳动管理层在三年前对方向的正确判断，才出现了字节在AI助手方面的领先。 而这与2024年初时，梁汝波在内部训话"大公司病"时形成了呼应。两年之前，梁汝波曾称字节正在变得平庸，无法取得新的突 破。当时，他举的例子就是，字节很迟钝，对机会的敏感度不如创业公司。公司层面的半年度技术回顾，直到2023年才开始讨论 GPT，而业内做得比较好的大模型创业公司都是在2018年至2021年创立的。 但事实证明，比字节动作慢的公司多了去了，字节这么有忧患意 ...

Hey, Kelly. So, what used to be Microsoft's biggest boost in the AI race for years. It's now a source of anxiety.Feels like everyone's focusing on this RPO number. So, let me break that one down. RPO or remaining performance obligation.It's essentially backlog. Revenue that Microsoft expects to recognize in the future from contracts that are already signed. The issue is concentration.About 45% of that backlog, it's tied to OpenAI. So when OpenAI looked like a locked in exclusive growth engine, that was a fe ...

A weather-related power outage at an Oracle Corp. (NYSE:ORCL) data center caused technical disruptions for TikTok's U.S. users days after the app shifted its American operations to new U.S.-led ownership. Oracle Confirms Data Center Outage Impacted TikTok On Tuesday, Oracle told Reuters in an email statement that a temporary power outage at one of its U.S. data centers disrupted TikTok's services. This led to performance issues for American users over the weekend and into early this week. In a statement ...