Core Insights - The article highlights the significant breakthroughs achieved by the domestic AI model company, Zhipu, in both capital markets and technological innovation as of early 2026. Zhipu's stock price surged over 15%, with a market capitalization exceeding HKD 300 billion, positioning it as a leader in the Hong Kong TMT sector [1][2]. Market Performance - Zhipu's stock reached a market cap of HKD 323.2 billion on February 20, 2026, surpassing traditional internet giants like JD.com and Kuaishou, marking its ascent to the top tier of the Hong Kong TMT sector [1]. - The AI application sector in Hong Kong showed strong performance, with Zhipu's stock leading the gains [1]. Technological Advancements - Zhipu's GLM-5 model has gained global attention for its capabilities in real-world programming tasks, significantly outperforming previous open-source baseline models [1][2]. - The GLM-5 model has been recognized as the top open-source model in multiple benchmark tests, establishing Zhipu as a key player in the global AI landscape [2][8]. Paradigm Shift in AI Programming - The introduction of GLM-5 signifies a shift from "Vibe Coding" to "Agentic Engineering," redefining AI programming by enabling AI to autonomously handle end-to-end software engineering tasks [4][7]. - This new paradigm allows AI to function as a "virtual engineer," capable of executing complex development tasks without human intervention, thus enhancing productivity in software development [7][8]. Competitive Landscape - The global landscape for Agentic Engineering is evolving, with Zhipu and other domestic startups making significant strides in core technologies and open-source ecosystems [5]. - Major players like Microsoft, OpenAI, and Google DeepMind are currently leading the field, but Zhipu's advancements position it as a formidable competitor [4][5]. Technical Breakthroughs of GLM-5 - Zhipu's GLM-5 has achieved four major breakthroughs: 1. Slime asynchronous reinforcement learning infrastructure, enhancing GPU utilization and training efficiency [23]. 2. AgentRL asynchronous reinforcement learning algorithm, optimizing planning and execution capabilities in dynamic environments [23]. 3. DSA sparse attention mechanism, significantly reducing computation costs while maintaining long-context capabilities [23]. 4. Full-stack adaptation to domestic chips, achieving performance comparable to dual-GPU clusters and reducing processing costs by 50% [23]. Practical Applications - Real-world testing of GLM-5 demonstrated its ability to autonomously create a deployable personal photography website and conduct complex technical analyses, showcasing its practical utility in various scenarios [12][20].

博彩股集体走低。春节假期澳门日均赌收逊预期，花旗下调2月赌收预测。美高梅中国(02282)跌4.2%。 内险股全线回落。新华保险(01336)跌超5%，险企Q4净利润或受短期投资波动影响。 猫眼娱乐(01896)跌超7%创九个月新低，今年春节档电影票房偏弱。 潼关黄金(00340)涨超5%，预计去年溢利同比增长约289%至298%。 东方电气(01072)涨超6%，重燃主机供需硬缺口将长期延续，公司燃气轮机出口有潜在扩张空间。 长飞光纤光缆(06869)涨超5%再创新高，光纤光缆景气度有望持续向上。 中国中免(01880)再跌超9%，三日累跌逾两成，机构称股价已反映海南免税亮眼表现。 智通财经获悉，港股恒生指数跌1.93%，跌521点，报26560点；恒生科技指数跌2.36%。港股早盘成交 1387亿港元。 大模型双雄逆市反弹，智谱(02513)涨超20%；MINIMAX-WP(00100)涨超7%。 建滔系盈喜后继续走高。覆铜板及上游物料量价齐升，带动集团全年业绩增长。建滔积层板(01888)涨 超11%；建滔集团(00148)涨4.5%。 本文源自：智通财经网 ...

Market Overview - Hong Kong stocks opened higher, with the Hang Seng Index rising by 2.53% to 27,081.91 points, driven by a rebound in the technology sector[13] - European markets showed mixed results, with the Euro Stoxx 600 index down 0.5%, while the UK FTSE 100 index remained relatively stable, closing at 10,684.74 points[11] - US markets faced significant declines, with the Dow Jones dropping 1.7% to 48,804.1 points, marking its largest single-day drop since January 20[11] Economic Indicators - China's GDP is projected to grow by 4.7% year-on-year in Q1 2026, benefiting from a high base effect and increased consumer spending during the extended Spring Festival holiday[6] - The average daily cross-regional flow of people during the Spring Festival increased by nearly 9% compared to the previous year, boosting hotel and flight prices[6] Commodity and Currency Trends - Gold prices surged by 2.87%, closing at $5,204.7 per ounce, driven by increased demand for safe-haven assets amid geopolitical tensions and tariff uncertainties[32] - The US dollar index fell by 0.1%, with the euro and yen appreciating against the dollar[32] Fixed Income Market - US Treasury yields declined, with the 2-year yield down 4 basis points to 3.44%, reflecting heightened risk aversion in the market[35] - Asian credit markets remained stable, with spreads narrowing by 1 basis point, as investors cautiously monitored US tariff developments[35] Sector Performance - In the US, technology and software stocks were heavily sold off, with IBM experiencing a drop of over 13%, while major tech stocks like Microsoft and Meta fell by approximately 3%[11] - In Hong Kong, the materials sector led gains with a 4.3% increase, while the energy sector saw minimal growth of 0.2%[14]

智谱称，GLM-5是一款旨在推动编程范式从"Vibe Coding"(氛围编程)转向"Agentic Engineering"(智能体工程)的下一代基础模型。GLM-5在前代模型GLM-4.5 的智能体、推理与编程(Agentic, Reasoning and Coding, ARC)能力基础上，采用稀疏注意力(DeepSeek Sparse Attention，DSA)以大幅降低推理成本，同时保持 长上下文能力无损。为了让模型更好地与各类任务对齐，GLM-5构建了一套新型异步强化学习(RL)基础设施，通过将生成过程与训练过程解耦，从而大幅提 升了后训练的迭代效率。此外，GLM-5还提出了全新的异步Agent强化学习算法，进一步提升强化学习的效果，使模型能够更有效地从复杂、长程交互中学 习。基于上述创新，GLM-5在主流的开放基准测试中实现了SOTA性能。最关键的是，GLM-5在真实世界编程任务中展现出前所未有的能力，在处理端到端 软件工程挑战方面超越了此前所有开源基线。 智谱(2513.HK)今日重拾升势，盘中股价一度飙升24.64%，报698港元。 智谱于2月12日正式推出新一代旗舰模型GLM-5，其在编 ...

Summary of Conference Call Records Industry Overview - The conference call discusses the technology sector, particularly focusing on overseas computing power (CPO), domestic computing power, and storage chips during the Chinese New Year holiday period. [1][2] Key Points Overseas Computing Power - **CPO Performance**: - Lumentum increased by 18.66% and Coherent by 14.25%, benefiting from better-than-expected CPO and OCS orders announced in FY26Q2, indicating growing market recognition of the CPO industry. [1] - **Cloud Services**: - Google saw a 4.29% increase, launching the Gemini 3.1 Pro flagship model on February 19, significantly enhancing inference and coding capabilities. [1] Domestic Computing Power - **Domestic Model Performance**: - Notable increases in domestic models: Zhiyu up by 49.5% and Minimax by 42.7%. [2] - **New Model Launches**: - Several flagship models were launched during the holiday, including Zhiyu GLM-5, MiniMax M2.5, Qwen 3.5-Plus, and Doubao 2.0 + Seedance 2.0. [2] - **Technological and Commercialization Shift**: - The domestic large model sector is experiencing a dual inflection point, transitioning from parameter competition to efficiency and agent revolution, with commercialization moving from investment to profitability. [2] - **Globalization Trend**: - There is an accelerating trend of reverse globalization in the domestic computing power sector. [2] - **Focus on Full-stack Autonomy**: - Emphasis on domestic chips, self-developed frameworks, and deep model adaptation. [2] - **Aliyun's Progress**: - Achieved a key milestone with the global launch of the 3.2TNPO module, applied in the new generation of domestic four-chip switches. [2] Storage Chips - **Market Performance**: - In the US market, SanDisk rose by 3.74% and Micron by 4.01%. In the Hong Kong market, Zhaoyi Innovation increased by 8.92% and Lanke Technology by 14.59%. [2] - **Micron's Expansion**: - Micron is investing $50 billion to double the size of its Boise campus and is constructing two new wafer fabs, expected to start production of DRAM in 2027, with full production by the end of 2028. [3] Investment Insights - **CPO Technology Innovation**: - Continued focus on CPO technology and the Google chain, with key companies including 富联, 天孚, 致尚, 炬光, and 罗博. [3] - **Domestic Large Models and Chips**: - Emphasis on domestic computing power with companies like 中芯, 华虹, 芯原, 盛科, and 华懋. [3] - **Storage Recommendations**: - Continued recommendations for Zhaoyi Innovation and Lanke Technology, alongside a focus on US stocks like SNDK and MU. [3]

2月21日，OpenAI大幅上调未来五年的营收预 大模型动态更新 OpenAI： 2月15日，OpenClaw成为由OpenAI支持的基金会运营的开源项目； 2月16日，OpenAI官宣聘请OpenClaw创始人领导个人人工智能（AI）代理领域，OpenAICEO正计划将多智能体系 统定位为公司下一个产品阶段的核心； 2月19日，OpenAI即将完成超1000亿美元融资，投后估值获将达8500亿美元； 大模型动态更新 OpenAI： 2月15日，OpenClaw成为由OpenAI支持的基金会运营的开源项目； 2月16日，OpenAI官宣聘请OpenClaw创始人领导个人人工智能（AI）代理领域，OpenAICEO正计划将多智能体系 统定位为公司下一个产品阶段的核心； 2月19日，OpenAI即将完成超1000亿美元融资，投后估值获将达8500亿美元； 谷歌 2月20日推出Gemini3.1Pro，核心性能指标较前代版本实现了翻倍增长。 在ARC-AGI-2上，取得了经验证的77.1%成绩，显著超越了市场竞品GPT-5.2与ClaudeOpus4.6。 ArtificialAnalysis的评估显示，Gemin ...

A股市场春节后第一个交易日，喜提开门红！沪指半日涨1.17%，深成指涨1.82%，创业板指涨1.76%。 贵金属、煤炭、半导体、化工、电力、基本金属板块涨幅居前，沪深京三市上涨个股超4200只。 10股纷纷涨停。值得注意的是，上交所欧线集运主力合约盘初一度暴涨超13%。 化工板块爆发，美邦股份4连板，金牛化工7天4板，澄星股份、金浦钛业涨停。玻纤概念反复活跃，国 际复材涨超4天2板，续创历史新高。 芯片股大涨，北京君正大涨近14%，兆易创新、赛微电子、晶方科技涨4%左右；港股兆易创新早盘也 一度涨约8%。光刻机指数盘中涨3%，炬光科技大涨14.23%。 光模块概念走强，天孚通信、盛科通信涨超10%，华工科技涨停。 下跌方面，算力租赁概念盘中持续调整，seedance、短剧游戏、DeepSeek等ai应用类题材大幅回调。传 媒股大面积跌停，其中光线传媒20cm跌停，幸福蓝海、中文在线跌超10%，博纳影业、横店影视、掌 阅科技、金逸影视、中国电影等集体跌停。港股影视股也同步下跌，猫眼娱乐跌超7%。消息面上， 2026年春节档收官，总票房为57.52亿元，不及此前市场预期。 国际黄金白银震荡加剧，现货黄金、白银冲高 ...

【东吴计算机】两大模型龙头暴涨，节后大模型如何选股？ 事件：2月20日港股大盘整体走弱背景下，AI大模型龙头逆势大涨。 智谱收盘大涨42.72%，总市值达3232亿港元； MINIMAX收涨14.52%，总市值3042亿港元。 两家均创上市以来新高，2月以来累计涨幅分别达220.51%、105.07%。 我 事件：2月20日港股大盘整体走弱背景下，AI大模型龙头逆势大涨。 MiniMax 智谱收盘大涨42.72%，总市值达3232亿港元； MINIMAX收涨14.52%，总市值3042亿港元。 两家均创上市以来新高，2月以来累计涨幅分别达220.51%、105.07%。 我们梳理了智谱与MiniMax春节期间的催化如下： 智谱 2月上旬，智谱匿名模型PonyAlpha登顶OpenRouter热度榜。 2月12日，发布GLM-5旗舰大模型，编程能力逼近国际顶尖水平。 2月12日，上调GLM编程订阅套餐价格30%起。 2月中旬，GLM-5完成多家国产芯片适配。 【东吴计算机】两大模型龙头暴涨，节后大模型如何选股？ 2月12日，MiniMax上线M2.5旗舰编程模型，性能比肩国际顶尖模型。 2月13日，MiniMa ...

昨天，智谱公司暴跌22%，今天则大幅拉升，上午盘中最大涨幅近24%，市值再次突破三千亿大关，达3018亿港元，并带动MiniMax也得到了大幅上涨。但 两大AI大模型公司在市场的表现，呈现剧烈波动态势，反映出投资者情绪与市场预期的剧烈变化，需警惕市场情绪的非理性波动。 智谱公司作为炙手可热的AI大模型标的，在资本市场实现近5倍跃升，相较于116.2港元的发行价，当前价格为677港元，上市以来累计涨幅达到482%以上， 是AI大模型这一波浪潮中最大受益者之一。 当然，因智谱在市场得到数倍上涨，必然极易引发剧烈震荡。尤其一封致歉信致使在周一遭遇重挫22%，市值一天蒸发700多亿。 2月21日（上周六），智谱公司就GLM Coding Plan发布的致歉信。声称GLM5发布后犯了三个错：规则透明度不足、GLM5灰度开放节奏过慢、老用户升级 机制设计粗糙。对此，修改规则，一切透明化；与此同时，针对受到影响的lite和Pro用户，支持自主申请退款。 GLM-5作为智谱公司所推出的新一代旗舰基座模型，在智能体和编程能力上实现了大幅跃升。因近期对GLM Coding Plan市场需求持续强劲，用户规模与调 用量快速提升，宣 ...

Summary of Conference Call Records Industry Overview - The conference call discusses trends in the AI industry, focusing on both C-end (consumer) and B-end (business) traffic data and trends, highlighting the performance of various AI models and companies in the market [1][2]. Key Points on C-end Traffic - **User Engagement**: ChatGPT's daily active users (DAU) rebounded from 460 million in December 2025 to current levels, indicating strong user engagement driven by model improvements like GPT-5.2 and 5.3 [1]. - **Growth of Competitors**: Google's Gemini saw its DAU increase from 23 million in 2025 to 130 million, although growth has slowed recently. Anthropic's Claude Pro doubled its DAU from 5 million to 10 million, driven by its coding capabilities and increased user subscription willingness [1]. Key Points on B-end Traffic - **Demand Surge**: The OpenRouter platform's token consumption surged from 8 trillion tokens per week at the end of January 2026 to 13 trillion tokens per week in February, primarily driven by domestic model vendors like Minimax and Kimi [2]. - **Cost Optimization**: The proliferation of agent products has led to a significant increase in token consumption, with Kimi's package reportedly consuming millions of tokens daily, showcasing the competitive edge of domestic models in the B-end market [2]. Trends in Model Vendors - **Platform Transition**: OpenAI launched Frontier, an enterprise-level middleware product, enhancing B-end capabilities with features like virtual employee functions and independent digital identity tracing [3]. - **Multi-Model Distribution**: Google is developing a multi-model distribution platform to reduce reliance on single model sales, integrating models from various vendors like Gemini and Anthropic into a cloud and software service model [3]. Commercialization Acceleration - **Revenue Goals**: OpenAI has significantly raised its revenue targets for 2026, with plans to further increase them in 2027, focusing on C-end subscriptions and advertising as core revenue sources [4]. - **Advertising Market Impact**: The advertising sector is experiencing a split, with companies like Google and Meta benefiting from AI-driven ad precision, while mid-tier firms like Pinterest and Snapchat face declining growth and user loss [4]. Challenges to Traditional Industries - **Security Software Threats**: The introduction of Claude Code Security by Anthropic poses a challenge to traditional security software companies by automating code vulnerability detection and patching [4]. Model Capability Enhancement - **Large-Scale Clusters**: Meta's Avocado model, set to launch in Q1 2026, is under observation as it utilizes a GB200 cluster for training, which could validate the "big push" strategy if it reaches top-tier model performance [5][6]. - **Multi-Agent Interaction**: The rise of multi-agent collaboration is seen as a new technical direction, with various companies implementing features that allow multiple models to work together, necessitating hardware upgrades to support this interaction [6]. Hardware Demand Growth - **Optimized Hardware**: Google is enhancing its TPUV8 architecture to improve storage efficiency and accelerate communication between agents, which is expected to drive demand for high-bandwidth memory (HBM) and optical modules [6].