1.【AI投资神话遭遇信心红灯，韩国科技股遭受重创 】由于投资者对利率前景的担忧以及对人工智能 相关支出可持续性的质疑，科技股带动的涨势陷入停滞，韩国股市周一大幅下挫。韩国KOSPI指数一 度下跌4%，创下自11月21日以来的最大单日跌幅。自去年初以来领涨全球的芯片巨头三星电子和 SK海力士双双下跌超过4%。多重因素导致投资者对热门股进行获利了结，其中包括对沃什获提名为 下任美联储主席的焦虑以及金属价格的剧烈波动。此外， 英伟达 首席执行官黄仁勋的言论进一步挫 伤了市场信心，他表示拟议中对OpenAI的1000亿美元投资"从未是一项承诺"，这引发了市场对未来 人工智能资本配置规模的新疑虑。Allspring Global Investments投资组合经理Gary Tan表示："黄 仁勋的言论可能产生了短期情绪影响，特别是对今年以来涨幅强劲的人工智能相关股。这些言论主要 是获利回吐的催化剂，因为我们看到市场上一些拥挤交易正在解构。"（新浪财经） 扫码可订阅产业日报 欢迎加入 睿兽分析会员 ，解锁 AI、汽车、智能制造 等相关 行业日报、图谱和报告 等。 17 / 7 + 2 元 投资价值企业 投资机构 及上市 ...

近日，在Ping The Future：智能跃迁，路由新境——清程AI Ping产品发布会上，清程极智推出AI Ping， 一站式AI评测与API服务智能路由平台，完善大模型应用阶段的基础设施能力。 清程极智CEO汤雄超完整地介绍了清程极智的企业定位和产品布局，他表示，从大模型训练与微调，到 推理部署的高性价比实现，再到应用阶段对服务稳定性和使用效率的更高要求，AI Infra的关注重点正 在不断演进。他介绍，清程极智长期围绕大模型训练、推理和应用三类核心场景开展技术实践，先后推 出八卦炉训练系统和赤兔推理引擎，支撑模型在多种算力环境下的高效训练与部署。 据悉，AI Ping聚焦大模型服务使用环节，围绕模型服务评测、统一接入与智能路由等核心能力，构建 起覆盖"评测—接入—路由—优化"的完整链路。平台以真实业务场景为导向，对不同厂商、不同模型 API的延迟、稳定性、吞吐与性价比等关键指标进行长期、持续观测。目前，AI Ping已覆盖30余家中国 大模型API服务商，在统一标准与方法论下对模型服务能力进行对比分析，为企业在复杂的模型与服务 选择中提供更加理性的决策参考。 发布会现场，清程极智联合20余家大模型AP ...

编辑｜吴昕 这两天， Clawbot 病毒式裂变，仿佛是一年前 Manus 的魅影重现。 同样一夜之间站上风口，同样点燃了无数开发者对「泼天富贵」的想象，也顺手把 Token 烧成了新的「硬通货」。 最近一组数据，让人更有体感。 中国大模型数量已超过 1500 个，下游开发者已经开始「疯狂盖房子」。数据显示， 2024 年初，中国日均 Token 消耗量约为 1000 亿；到 2025 年 6 月，这一数字已突破 30 万亿。 一年半时间，增长超过 300 倍 。 与三年前的 Chatbot 不同，「能干活」的 Agent 正以前所未有的强度，第一次把 API 调用推入「生产级」—— 一次看似简单的操作，背后往往是十几次、甚至几十次模型调用在同时发生。任何一次服务「抽风」，都会在 Agent 链路中引发一场多米诺骨牌式崩溃。 问题在于，中国大模型 API 服务现状，远比 benchmark 复杂得多。 更像是开盲盒，有人调侃说，以为自己在用「 DeepSeek V3.2 」，实际可能是蒸馏 / 量化版本。有人花了两周时间反复测试，上线后仍遭遇性能回退。 还有团队发现，模型会在某些凌晨时段准时「抽风」，延迟从 ...

你说荒诞不，在API调用动辄几十万、上百万token的时代， API选型居然变成了一件靠经验反复试错的事儿 。 这就导致想要接个API做开发，还得先被迫兼职下采购员。东市买骏马，西市买鞍鞯，必须把市面上的供应商挨个测一遍。 （写到这儿的时候，我的表情就是那个大家可以想象的痛苦面具闭眼表情包.jpg） 衡宇 发自 凹非寺 量子位 | 公众号 QbitAI 忍不了了，这个槽我真的不吐不快！ 比面对大模型黑盒更让人抓瞎的事情，就是要去选既靠谱、性价比又高的API服务 。 这几乎是每一个涉足AI应用开发的团队都会经历的至暗时刻，抹泪.gif。 同一个模型架构在不同的供应商手里，不仅价格上有出入，延迟、稳定性、吞吐量等用户关心的指标，波动幅度简直堪比霸天虎过山车。 不er，就没有一个工具能把这些API的底裤扒得干净，让咱开发者省点心吗？ 带着如此沉痛的心情跟周围人打听了一圈，你还真别说，有人告诉我有家 清华系的AI Infra公司——清程极智 ，真就做了这个事儿。 产品叫AI Ping，之前没做过什么宣发，基本一直就靠口碑口口相传。 用一句话来概括功能，可以说它就像 大模型API领域的大众点评 。 用7×24小时持续运 ...

北京商报讯（记者 魏蔚）1月30日，北京商报记者获悉，清程极智推出 AI Ping，一站式AI评测与API （应用程序编程接口）服务智能路由平台。AI Ping 聚焦大模型服务使用环节，围绕模型服务评测、统 一接入与智能路由等能力，构建起覆盖"评测—接入—路由—优化"的完整链路。平台以真实业务场景为 导向，对不同厂商、不同模型 API 的延迟、稳定性、吞吐与性价比等关键指标进行长期、持续观测。 目前，AI Ping 已覆盖 30余家中国大模型API服务商 ，在统一标准与方法论下对模型服务能力进行对比 分析，为企业在复杂的模型与服务选择中提供更加理性的决策参考。 同日，清程极智与20余家大模型API服务商，共同启动《智能、可持续大模型 API 服务生态计划》。该 计划未来将围绕模型服务能力评估、评测方法论建设、行业交流与成果发布等方向持续推进。 ...

Core Insights - The article discusses the transition of large model applications from exploration to stable and scalable operation, emphasizing the importance of model API service performance, stability, and efficiency in the industry [1][5][10] Industry Developments - Haidian District is accelerating the construction of a modern industrial system focused on artificial intelligence, aiming to support enterprises in collaborative exploration around common industry needs [3] - The shift in AI infrastructure focus from model training and inference to efficient and stable application in real business scenarios is highlighted, with an emphasis on building intelligent routing capabilities [3][5] Company Initiatives - Qingcheng Jizhi has launched the AI Ping platform, a one-stop AI evaluation and API service intelligent routing platform, to support the infrastructure for large model applications [5][10] - The platform aims to provide a complete link from evaluation to optimization, monitoring key performance indicators of different model APIs for informed decision-making by enterprises [7][10] Collaborative Efforts - A collaborative initiative involving over 20 large model API service providers was launched to promote the development of a sustainable model API service ecosystem, focusing on evaluation and industry communication [8][9] - The AI Ping platform has already covered over 30 Chinese large model API service providers, facilitating comparative analysis of service capabilities [7][9] Performance Analysis - The 2025 Large Model Service Performance Ranking will be published based on evaluation data from AI Ping, providing a reference for the industry [8] - A report analyzing the supply structure and usage characteristics of large model API services indicates that the core competitive factors have shifted from price to delivery quality, with key metrics including response latency and stability [10]

Core Insights - The article presents a roundup of the top 15 AI applications for 2025, highlighting their significance in various verticals such as work efficiency, software development, and data analysis [2] Group 1: Top AI Applications - Wino Studio from Hangzhou is recognized for its capabilities in work efficiency, data analysis, and educational learning, serving as a high-performance desktop application that integrates probabilistic models with deterministic domain knowledge [4] - AI Ping from Beijing is a one-stop platform for large model service evaluation and API calls, categorized under AI infrastructure [4] - ChatGPT is acknowledged as a general-purpose AI assistant that covers writing, programming, analysis, and creative collaboration [4] - Kapi Accounting is designed for users who enjoy managing their finances, offering quick recording methods and budget planning features [4] Group 2: Developer Insights - The core team behind Wino Studio has a dual background in theoretical physics and big data development, aiming to merge academic and industrial strengths [6] - Wino Studio aims to provide productivity tools for researchers and enterprises by combining AI with scientific computing, initially inspired by the need for a domestic alternative to Mathematica and MATLAB [8] - The application utilizes Rust programming language for high-performance interactive computing and integrates various computational units to enhance user experience [9] Group 3: Market Trends - The article indicates a shift towards collaborative AI applications that work together to solve complex problems, moving away from standalone tools [19] - Wino Studio is described as a flexible "expert studio" that allows users to assemble various AI capabilities and programming tools to tackle specific challenges [19] - The trend of "team-based" AI solutions is evident in applications like Kapi Accounting, which automates the entire financial management process [20] Group 4: Future Goals - Wino Studio's future objectives include deepening expertise in specific application scenarios, achieving breakthroughs in foundational algorithms for scientific computing, and expanding product visibility to reach millions of potential users [13]

Core Viewpoint - The article discusses the current state of domestic computing power in China, emphasizing the need for improved software ecosystems and system-level optimization to enhance the utilization of domestic chips in AI applications [5][21]. Group 1: AI Infrastructure and Market Trends - The GAIR conference highlighted the rapid evolution of computing power and its impact on AI technology and industry structure, focusing on the next decade of China's AI industry [2]. - The speaker, Shi Tianhui, pointed out that the bottleneck in the utilization of domestic computing power lies in the software ecosystem and system-level optimization capabilities [5][21]. - The MaaS (Model as a Service) market is experiencing significant growth, with a reported increase of over 400% in the first half of the year, indicating a strong demand for AI services [33]. Group 2: Challenges and Solutions in AI Infrastructure - The current challenge is that many domestic enterprises purchase chips from multiple vendors, leading to difficulties in software compatibility and maintenance [22][13]. - The company has developed a proprietary inference engine, "Chitu," which aims to simplify the use of domestic chips and improve their performance [21][22]. - The article emphasizes the importance of a unified software solution to address the "M×N" problem of optimizing multiple models across various chips, which requires significant resources and expertise [25][29]. Group 3: Innovations and Product Offerings - The "Chitu" inference engine has been designed to support both domestic and foreign chips, significantly lowering the barriers for customers to utilize AI applications effectively [22][27]. - The company has introduced "AI Ping," a one-stop platform for evaluating and accessing various MaaS offerings, which aims to reduce information asymmetry in the market [30][36]. - The platform provides comprehensive performance evaluations and a routing function that allows users to access multiple suppliers through a single interface, enhancing cost efficiency and service reliability [39][41].