有媒体报道说微信开始内测「批量撤回消息」的功能，我看了下自己几个手机上的版本，都还没有被灰度到。 所谓批量撤回消息，其实是撤回消息功能的升级版，支持一键撤回一定时间内的消息。 功能操作上，会在原本撤回弹出菜单里新增一个选项，点击后会一次性撤回两分钟内的所有消息。 举个例子，有些人发消息时习惯一句话分成几段发出去，比如一句完整的话是「今天下午一起去游泳吧」，然后被拆分成两句发出去，分别是「今天下 午」和「一起去游泳吧」。 我想了下，这个功能可能对这么一类场景有帮助。 如果想撤回这句完整的意思就得连续操作撤回两次，要是正好卡在两分钟的节点上，那有些内容就无法撤回了。 因此，撤回本次发送的全部消息就能一键清除所有分段消息，从便利性来看是有所提升的。 特别是在一些讨论场景中，其中一方巴拉巴拉说了好多句，结果回过神来来发现说得不合适，于是撤回重来，那么这个功能就非常有价值。 还有就是在发文字配合图片的场景中，撤回文字和图片之前要分两步操作，现在也是一键搞定。 不过，对于大多数普通场景来说，单次撤回功能已经够用了。 微信开始内测的这个「批量撤回消息」功能属于常规功能延伸，属于有了会更好，但没有也不影响的优先级。 即便是删 ...

Core Insights - The AI industry chain companies have shown varied performance in their mid-year reports, with a long-term positive trend driven by AI [1] - Approximately two-thirds of the 85 listed AI companies reported profits, with 15 companies experiencing net profit growth exceeding 100%, primarily in the computing infrastructure sector [1][2] Group 1: AI Infrastructure Performance - The AI infrastructure sector has seen significant growth, particularly in semiconductor and server manufacturers, driven by applications like DeepSeek [2] - Chinese AI semiconductor company Cambricon reported a revenue of 2.881 billion yuan, a year-on-year increase of 4347.82%, and a net profit of 1.038 billion yuan, marking its first profitable half-year [2] - Another leading domestic AI chip company, Haiguang Information, achieved a revenue of 3.763 billion yuan, up 44.08% year-on-year, with a net profit of 853 million yuan, a 25.97% increase [2] Group 2: Market Trends and Shifts - The demand for AI computing chips is surging, with local chips gaining market recognition, which is further boosting the performance of upstream wafer foundries [4] - Semiconductor manufacturer SMIC reported a revenue of 32.35 billion yuan, a 23.1% year-on-year increase, and a net profit of 1.9 billion yuan, up 47.8% [4] - Huahong Semiconductor's revenue for the first half of 2025 was 8.018 billion yuan, a 19.09% increase, but its net profit fell by 71.95% due to initial production costs and increased R&D expenses [4] Group 3: AI Model Development and Investment - Major internet companies like Alibaba and Tencent are enhancing AI model capabilities, leading to increased infrastructure demand, with Alibaba's capital expenditure reaching 38.7 billion yuan and Tencent's rising 119% year-on-year to 19.11 billion yuan [5] - The market is shifting from AI training to AI inference, with the demand ratio changing from 80% training to 70% inference [6][7] - The Chinese AI server market is experiencing rapid growth, with Inspur's revenue reaching 80.192 billion yuan, a 90.05% increase [7] Group 4: Policy and Future Outlook - The Chinese government has initiated the "Artificial Intelligence +" action plan, aiming for widespread integration of AI in six key areas by 2027, with a target application rate exceeding 70% for new intelligent terminals and agents [8][9] - This policy is expected to catalyze the comprehensive rollout of AI applications across various sectors, enhancing demand and ecosystem development [9]

Core Insights - Tencent officially launched the Hunyuan 3D World Model 1.0 at the World Artificial Intelligence Conference on July 27, 2025, marking the industry's first open-source immersive, interactive, and realistic world generation model [1][3] - The model significantly simplifies the 3D scene construction process for game developers, allowing for quick generation of complex scenes from simple text prompts or images [3][9] - Tencent's commitment to open-source development is evident as it plans to release a series of smaller models and frameworks, enhancing community engagement and collaboration [16][18] Group 1: Hunyuan 3D World Model 1.0 Features - The Hunyuan 3D World Model 1.0 integrates panoramic image synthesis and layered 3D reconstruction technology, enabling high-quality, diverse 3D scene generation from text or image inputs [1][9] - Users can create complete 3D scenes, including architecture, terrain, and vegetation, with simple commands, which can be used for game prototyping and level design [3][9] - The model's innovative algorithm allows for semantic hierarchical representation and generation of 3D scenes, facilitating intelligent separation of foreground and background elements [9][13] Group 2: Model Performance and Community Engagement - The Hunyuan 3D World Model 1.0 outperforms leading open-source models in aesthetic quality and instruction adherence, establishing a strong position in the global market [13][16] - Tencent's Hunyuan models, including TurboS and T1, are rapidly evolving, with monthly updates enhancing their capabilities in code generation, mathematical reasoning, and text writing [14][18] - The company has embraced open-source principles, with over 2.3 million downloads of its 3D models, making it one of the most popular open-source 3D model platforms globally [18]

Core Viewpoint - The article discusses the rapid advancements in AI capabilities, particularly in the context of standardized testing, and raises questions about the implications for human intelligence and the future of education [3][23]. Group 1: AI Testing and Performance - The latest AI model, Grok-4, has demonstrated exceptional performance on various standardized tests, achieving near-perfect scores on SAT and GRE, and an 88.9% accuracy on GPQA [8][17]. - The "Humanity's Last Exam" (HLM) consists of 3000 challenging questions across over 100 subjects, with 80% being exact-match questions and 42% related to mathematics, making it a rigorous measure of AI's capabilities [10][12]. - In a recent test, the DeepSeek-R1-0528 model achieved a score of 32.1% on HLM, representing a significant milestone for domestic AI models [17]. Group 2: Comparison with Human Performance - AI models are increasingly outperforming human students in standardized tests, with ByteDance's Seed1.6 scoring 648 in science and 683 in humanities on the 2025 Shandong Gaokao, placing it among the top candidates for prestigious universities [20][21]. - The performance gap between AI and human students is widening, with AI models like Grok-4 and DeepSeek showing scores that suggest they could easily surpass human capabilities in future examinations [22][23]. - The article suggests that as AI continues to excel in testing environments, the focus may shift from comparing human and AI performance to evaluating AI's practical applications and value creation [24].

Core Viewpoint - The article discusses the performance of various AI models in a simulated high school mathematics exam, highlighting unexpected results and the rapid evolution of AI capabilities in understanding and solving mathematical problems [1][21]. Group 1: Testing Methodology - The testing included previously missing models such as Zhiyu Z1, Kimi 1.5, and Wenxin X1, aiming to provide a comprehensive assessment of AI models' mathematical abilities [3][8]. - Specific scoring rules were established, focusing on correctness of results rather than step-by-step solutions, with each question being run through the models three times to determine accuracy [5][6]. - The inclusion of multimodal questions required models to interpret images, which proved challenging for many, with only OpenAI's model performing adequately [10][12]. Group 2: Results and Rankings - The results were surprising, with models like Xunfei Xinghuo and Doubao achieving high scores of 145 points, excelling in most questions except for a specific one [15][16]. - Qwen3 scored 143.3 points, performing well in answer questions but losing points in fill-in-the-blank sections [16]. - Gemini 2.5 Pro ranked fourth with a score of 139.7 points, while other models like Hunyuan T1 and Wenxin X1 tied for fifth place with slightly lower scores [17][18]. Group 3: Observations and Implications - The article notes the rapid advancement of AI, suggesting that within two years, AI models have reached a level comparable to that of excellent students in high school mathematics [21]. - The author expresses a sense of excitement and surprise at the results, indicating a positive outlook on the future capabilities of AI in educational contexts [22].

Core Insights - The first International General Artificial Intelligence Conference (TongAI) was held in Beijing, focusing on AGI and gathering experts from top universities and leading companies like Tencent [1] - Tencent's advancements in large models, particularly the TurboS and T1 models, demonstrate significant improvements in technical capabilities and performance [2][3] Group 1: Model Development and Performance - Tencent's mixed model TurboS has risen to the top eight globally on the Chatbot Arena, showcasing its strong performance in coding and mathematics [3] - The TurboS model has shown a 10% improvement in reasoning, a 24% increase in coding capabilities, and a 39% enhancement in competitive mathematics scores due to advancements in training techniques [3] - The T1 model has also been upgraded, achieving an 8% improvement in competitive mathematics and common-sense question answering, and a 13% enhancement in complex task agent capabilities [3] Group 2: Multi-Modal Model Innovations - The new T1-Vision model supports multi-image input and has improved overall understanding speed by 50% compared to previous models [4] - The mixed voice model, mixed Voice, has reduced response time to 1.6 seconds, improving human-like interaction and emotional application capabilities [5] - The mixed image 2.0 model has achieved over 95% accuracy in GenEval benchmark tests, while the mixed 3D v2.5 model has improved geometric precision by ten times [5][6] Group 3: Open Source and Industry Collaboration - Tencent has embraced open-source initiatives, with over 1.6 million downloads of the mixed 3D model and plans to release various model sizes to meet different enterprise needs [7] - The company has launched a training camp for industry partners, providing free model resources and technical support, with over 200 partners already participating [7] - Tencent's AI strategy is evolving rapidly, integrating mixed models into core products like WeChat, QQ, and Tencent Meeting, enhancing internal product intelligence and supporting external innovation through Tencent Cloud [7]

Core Insights - Tencent's AI strategy is rapidly advancing, with every enterprise becoming an AI company and individuals becoming "super individuals" empowered by AI [1] - The launch of upgraded models, including TurboS and T1, signifies Tencent's commitment to enhancing AI capabilities [1][2] - The mixed model approach has led to significant improvements in reasoning and coding abilities, with TurboS showing over 10% enhancement in reasoning and 24% in coding [2] Model Upgrades - The TurboS model has climbed to the top eight globally on the Chatbot Arena platform, showcasing its strong performance in STEM capabilities [2] - The T1 model has also seen improvements, with an 8% increase in competition math performance and a 13% boost in complex task agent capabilities [6] - New models such as T1-Vision and mixed voice models have been introduced, enhancing visual reasoning and reducing voice response latency by over 30% [8] Market Position - The domestic large model market is characterized by diverse technological strengths among various models [7] - Tencent's mixed models, particularly in 3D and video generation, have gained a positive reputation among developers [8] Strategic Developments - Tencent has upgraded its knowledge engine to the "Tencent Cloud Intelligent Agent Development Platform," integrating RAG technology and agent capabilities [10][12] - The upgrade aims to help enterprises effectively utilize intelligent agents, moving beyond conceptual applications [14] - The development of open-source models is a key focus, with plans to release various sizes of mixed reasoning models to meet different enterprise needs [16] Application and Integration - The mixed models are deeply integrated into Tencent's core products, enhancing their intelligence and efficiency [17] - The models are also being offered through Tencent Cloud to assist enterprises and developers in innovation [17]

Core Insights - Tencent has fully disclosed its large model strategy, showcasing a comprehensive upgrade of its large model matrix products at the 2025 Tencent Cloud AI Industry Application Summit [1] - The company emphasizes that every enterprise will become an AI company and every individual will be an AI-empowered "super individual" as AI continues to be integrated into various sectors [1] - Tencent plans to increase its investment in AI, focusing on large model innovation, intelligent application, knowledge base development, and infrastructure upgrades to create "user-friendly AI" [1] Group 1 - Tencent's large model matrix includes self-developed models, AI cloud infrastructure, intelligent development tools, knowledge bases, and scenario-based applications [1] - The demand for large model APIs and computing power has rapidly increased, indicating a growing industry reliance on generative AI [1] - The transition from "usable" to "user-friendly" AI requires improvements in interaction experience, execution capability, content accuracy, and implementation costs [1] Group 2 - Tencent has intensified its investment in deep thinking model routes, with the launch of the mixed Yuan T1 model and its continuous iteration since early this year [2] - New models such as the mixed Yuan T1 Vision for visual deep reasoning and the mixed Yuan Voice for end-to-end voice calls have been introduced, with plans for real-time video call AI experiences [2] - The mixed Yuan model has achieved full-modal open-source capabilities, with future releases planned for multi-size mixed reasoning models ranging from 0.5B to 32B dense models [2]

以下文章来源于光子星球 ，作者郝鑫 来源丨光 子星球（ID：TMTweb） 作者丨郝鑫 光子星球 . 细微之处，看见未来 编辑丨王潘 图源丨Midjourney "DeepSeek-R1如同当年苏联抢发的第一颗卫星，成为AI开启新时代的斯普特尼克时刻。" 2025年春节前，DeepSeek比除夕那天的烟花先一步在世界上空绽放。 离年夜饭仅剩几个小时，国内某家云服务器的工程师突然被拉入工作群，接到紧急任务，要求其快速调 优芯片，以适配最新的DeepSeek-R1模型。该工程师告诉我们，"从接入到完成，整个过程不到一周"。 大年初二，一家从事Agent To B业务的厂商负责人电话被打爆，客户的要求简单粗暴：第一时间验证模型 真实性能，尽快把部署提上日程。 节前大模型，节后只有DeepSeek。DeepSeek-R1就像一道分水岭，重新书写了中国大模型的叙事逻辑。 以2022年11月，OpenAI发布基于GPT-3.5的ChatGPT应用为起点，国内自此走上了追赶OpenAI的道路。 2023年，大模型如雨后春笋般冒出头，无大模型不AI，各厂商你追我赶，百模大战初见端倪。 你方唱罢我登场，2024年的主人公变成了 ...

Group 1: AI Developments - The DeepSeek V3 model has completed a minor version upgrade, showing improvements across various capabilities [3] - Tencent has officially launched its self-developed deep thinking model, the mixed Yuan T1, enhancing reasoning abilities [3] - Google's new model, Gemini 2.5 Pro, has achieved state-of-the-art (SOTA) performance in multiple benchmark tests and topped the Arena leaderboard [3] - OpenAI has released the native multimodal image generation feature of GPT-4o, enabling the generation of more realistic images [3] Group 2: Semiconductor Industry - New Kai Lai showcased around 30 devices at the 2025 Semicon China exhibition, covering four major categories: diffusion, etching, thin films, and measurement [5] - The U.S. Department of Commerce announced the addition of 54 Chinese entities to the export control entity list, with 12 listings effective from March 25, 2025, and the remaining 42 expected to take effect from March 28, 2025 [5] Group 3: Robotics Industry - Vivo announced the establishment of "vivo Robot Lab" to enter the home robotics sector during the Boao Asia Forum 2025 [6] - Yijiahe has strategically upgraded, leading to the formal establishment of Lindo Technology [6] - Zhiyuan held its first supplier conference, collaborating with over a hundred partners to layout the robotics market [6] - Wolong Electric Drive has invested in Zhiyuan Robotics to jointly promote the development of embodied robots [6] - Figure Robotics released a new video showcasing its transition from "stumbling" to "steady," unlocking new natural walking skills [6] Group 4: New Product Launches - Xizhi Technology launched the new generation of optical hybrid computing card "Xizhi Tian Shu," which integrates the advantages of optical and electronic chips and employs advanced 3D packaging technology, showing significant performance improvements over previous models [4]