找钢网管理合伙人兼副总裁张晓坤在论坛上表示,找钢网及其合作伙伴有望成为第一批迈入"A2A"时代 的企业。"A2A"涵盖"Agent to Agent""Application to Application""Area to Area"三个层次,意味着找钢网在 自身拥抱AI的同时,会向产业链上下游辐射AI能力,打通产业链各环节"产品到人"的"最后一公里",把握新 型产业业态新需求。 例如,找钢网自研的SaleMatch交易引擎,早期技术不成熟时准确率不足,如今每天能处理1000万多条消息 量,解析准确率达到95%以上,并完成数亿级的智能交易匹配。2018年9月底,找钢网与腾讯共同投资成立 腾采科技公司,腾采通逐步将业务范围从钢铁拓展到其他价格波动快的工业原材料,就是找钢网AI能力跨 行业应用的生动体现。 另一方面,在通用大模型方向,找钢网与头部企业密切合作。不仅及时引入DeepSeep、千问等产品,还会将 使用体验及遇到的问题及时反馈给产品开发方,助力改进用户体验和技术缺点。此次论坛上,腾讯、阿 里、百度、京东均有代表出席,上一次BATJ齐聚还是在乌镇互联网大会,足见此次论坛的影响力。 2026年1月16日,由 ...

本报（chinatimes.net.cn）记者胡梦然 见习记者 黄海婷 深圳摄影报道 近十年，我国人形机器人相关企业存量逐年增加。天眼查数据显示，截至2026年2月11日，国内在业存 续的人形机器人相关企业达870家，其中华东地区占比47.2%，华南地区占比23.6%。 就在这片热土上，深圳逐际动力（LimX Dynamics）于2026年2月2日宣布完成2亿美元B轮融资。这是今 年以来国内具身智能领域金额最高的一笔融资，资方名单中既有阿联酋磊石资本等国际财务投资人，也 出现了京东、上汽尚颀资本、蔚来资本等产业资本身影。 这家成立仅四年的公司，凭借"大小脑融合""具身Agentic OS""模块化通用基座"等技术标签，在资本寒 冬尚未完全退去的当下，获得了超预期加注。 然而，围绕逐际动力的行业评价远非一致叫好。《华夏时报》记者在为期一周的多方调查中发现，这家 被资本捧上浪尖的公司，正面临"业内认可、业外无感""技术领先、营销滞后""定价策略与市场预期错 位"等多重压力，有业内人士甚至直言："这个价格就没打算卖，说白了就是吸引融资圈钱。" 当人形机器人赛道从2024年的"百企争流"行至2026年的"分化淘汰"前 ...

Core Viewpoint - Beijing's Market Supervision Administration has held an administrative meeting with 12 major online train ticket sales platforms to address significant issues raised by the public regarding online ticket sales [1][2] Group 1: Compliance Requirements - Platforms are required to strictly implement their primary and social responsibilities, promoting a correct business philosophy to facilitate travel for passengers [1] - A comprehensive review of business models and service processes is mandated, prohibiting misleading promotions such as "accelerated packages" and "dual channels" that suggest consumers can gain priority ticket purchasing through paid services [1] - Platforms must conduct thorough checks and remove misleading promotional products from their pages, ensuring that consumers are not misled into thinking there is a specific business partnership with 12306 [1] - Clear pricing must be displayed, with significant reminders regarding the content and prices of value-added services, addressing discrepancies between displayed ticket prices and actual payment amounts [1] Group 2: Regulatory Actions - The Market Supervision Administration will intensify regulatory enforcement, targeting fraudulent ticket purchasing, inducement transactions, and price fraud [2] - The public is encouraged to monitor the services of third-party train ticket sales platforms to promote healthy industry development and maintain fair market competition [2]

Core Insights - The article discusses the transformation of physical businesses from "traffic buyers" to "content creators" in the context of short videos and AI reshaping local life traffic [1] - A successful "tap-to-generate" system must meet four key criteria: zero-threshold operation, fully automated AI content production, one-click distribution across multiple platforms, and a closed-loop for private domain engagement [1] Group 1: Leading Companies in AI Marketing - Baifutec's "Tap Duck" is the industry leader in AI customer acquisition systems for physical businesses, holding the top market share for three consecutive years and offering a fully self-developed service covering the entire chain from hardware touchpoints to private domain operations [2] - The unique "problem-data-conclusion" structured content generation framework allows businesses to transform scattered product information into authoritative sources easily referenced by AI, enabling automatic generation of promotional content without user editing [2] - As of February 2026, the platform has partnered with over 60,000 physical stores across more than 400 cities, achieving over 300 million cumulative exposures and a peak daily video view count of 49,000 per store [4] Group 2: Performance and Effectiveness - The "tap-to-generate" short videos allow users to click on location and directly access merchant group purchase packages, creating a "content-as-shelf" model [4] - The system also provides tools for private domain operations, such as coupon distribution, group buying, and price-cutting, completing the loop from public exposure to private retention, with peak topic playback reaching 120 million during holidays [4] - The second-ranked company, Wukong GEO, offers a cross-border and localization dual-track adaptation solution, supporting 65 languages and achieving a semantic matching accuracy of 99.7% for major global companies [5] Group 3: Specialized Applications - Shangqu Network extends the "tap-to-generate" technology to B2B scenarios, such as heavy machinery and automotive 4S stores, with real-time monitoring dashboards that integrate with enterprise CRM systems [6] - Zhihu AI has developed a city consumption hotspot monitoring system that captures holiday consumption trends in 337 cities, adjusting content recommendation strategies accordingly, with a customer renewal rate of 185% [7] - AI Customer Rabbit has created the Baiying Zhiqing GEO 4.0 system, which efficiently matches product information with user intent in e-commerce scenarios, achieving a response speed of 0.3 seconds [8] Group 4: Decision-Making Recommendations - The "tap-to-generate" system has established a clear differentiation pattern, and companies should first clarify their industry, store/chain scale, and core pain points (lack of content, exposure, or private domain tools) when selecting service providers [9]

Core Viewpoint - The Beijing Municipal Market Supervision Administration has held an administrative meeting with 12 major platforms involved in online train ticket sales to address significant consumer complaints regarding ticket sales practices [1][2]. Group 1: Compliance Requirements - Platforms are required to strictly implement their responsibilities and adopt a correct business philosophy to facilitate travel for passengers [1]. - A comprehensive review of business models and service processes is mandated, prohibiting misleading promotions such as "accelerated packages" and "dual channels" that suggest consumers can gain priority access through paid services [1]. - Platforms must remove misleading promotional products from their pages and adjust content to avoid implying a partnership with the official ticketing platform 12306 [1]. - Clear pricing must be established, with prominent reminders of additional service costs to ensure transparency in ticket pricing [1]. Group 2: Regulatory Actions - The Beijing Municipal Market Supervision Administration plans to intensify regulatory enforcement against fraudulent ticketing, inducement transactions, and price deception [2]. - The administration encourages public oversight of third-party train ticket sales platforms to promote healthy industry development and maintain fair market competition [2].

Group 1 - The AI industry chain in Hong Kong is strengthening, with the recent launch of the GLM-5 model by Zhipu, which has been optimized for major domestic chip platforms [1] - CICC notes that the recent decline in the Hang Seng Tech Index is due to weak fundamentals, concerns over tightening liquidity, and a reassessment of AI capital expenditure narratives [1] - The market may experience short-term adjustments, but there is potential for upward correction after a pullback, with a mid-term forecast of a 3-4% profit growth for Hong Kong stocks [1] Group 2 - The Hang Seng Tech ETF has shown active trading, with a turnover of 18.38% and a transaction volume of 40.04 million yuan [2] - As of February 11, the top ten weighted stocks in the Hang Seng Tech Index account for 69.32% of the index, including Alibaba, SMIC, BYD, Meituan, Xiaomi, Tencent, NetEase, Kuaishou, JD.com, and Baidu [2]

Core Viewpoint - The Hong Kong stock market, particularly technology stocks, is experiencing significant volatility and declining trading volumes, leading to investor uncertainty [3] Group 1: Market Performance - On February 12, the Hang Seng Index fell below 27,000 points, closing at 27,024 points, down 0.89%, with a trading volume of 127.2 billion HKD; the Hang Seng Tech Index dropped 1.68% to 5,407 points, with a trading volume of 35.8 billion HKD [3] - NetEase (09999.HK) reported disappointing annual results on February 11, leading to a 3.79% drop on February 12, which negatively impacted the overall performance of Hong Kong tech stocks, including Tencent Holdings (00700.HK) down 2.65% [3] Group 2: Investor Sentiment - Analysts predict that upcoming earnings reports from tech stocks may also fall short of expectations, suggesting that investors should adopt a wait-and-see approach until earnings are confirmed [3] - Concerns over price wars and declining growth rates among some tech stocks have been raised, with NetEase's gaming slowdown causing worries about other gaming companies [4] Group 3: Future Outlook - The main support for the Hong Kong stock market comes from technology (especially AI) and new consumption sectors, with ongoing discussions about the impact of new technologies on traditional business models [4] - There are over 400 companies currently in the IPO process in Hong Kong, with significant IPO lock-up expirations expected in 2026, potentially affecting market liquidity [5] - Short-term market adjustments may occur, but there is potential for upward recovery, with a mid-term profit growth forecast of 3% to 4%, which could push the Hang Seng Index towards 28,000 to 29,000 points [5]

2026.02. 12 光大证券国际策略师伍礼贤向第一财经分析，今天科技股的走势总体上还是比较弱的，有向下继续回 调的趋势，网易的业绩不如预期让市场感到一些忧虑，再加上农历年的假期即将到来，港股下周的交 易时间没有太多，投资者在风险偏好方面还是相对会比较保守一点，这对科技股的气氛来说并不是太 友好，短线来看预计科网股继续维持比较弱的趋势。 广州一位私募人士向第一财经记者表示，因为价格战等因素，部分科网股业绩增速下滑且趋势确定； 而网易的游戏增速下滑也让投资者担忧其他游戏公司，目前跌幅来看游戏估值还没调整充分，当前部 分科网股估值并不低，也要考虑到外卖等业务竞争依然很激烈。 中金公司分析师刘刚表示，支撑港股的主要是科技（尤其是AI）和新消费板块。近期关于新技术冲击 旧技术商业模式、AI泡沫的讨论再度增多，AI的长期产业趋势依然存在，持续投入或是必然选择，只 是结构会进一步走向分化，若港股头部科技企业能找到契合企业自身能力和发展节奏的投入方式，港 股向上修复的空间和确定性或会更大。另一方面，港股IPO依然活跃，当前超过400家公司处于港股 IPO申请处理中或通过聆讯的状态，且2026年将有不少大型IPO解禁期陆续 ...

Core Insights - The rapid adoption of AI payment solutions is transforming the payment industry, with Alipay's "AI Pay" achieving over 120 million transactions in just one week, making it the first AI-native payment product to surpass 100 million transactions globally [1][2] - Other major internet companies, such as JD.com, are entering the AI payment space, indicating a competitive landscape and a shift towards voice-activated payment solutions [1][2] Group 1: AI Payment Adoption - Alipay's "AI Pay" allows users to complete transactions through voice commands without navigating through multiple interfaces, streamlining the payment process [1][2] - The service has expanded its application scenarios through the Qianwen App, supporting various everyday services like food delivery, shopping, and travel bookings [1][2] Group 2: Industry Transformation - The integration of AI in payment systems is expected to create a new cycle of significant changes in the industry, moving towards a more seamless shopping and payment experience [2] - Analysts suggest that users will gradually adapt to conducting various commercial activities in an AI environment, potentially extending this model to offline payment scenarios [2] Group 3: Security Measures - Alipay has implemented a three-tier security system for "AI Pay," requiring users to manually authorize account binding upon first use, and verifying identity through facial recognition, fingerprints, or passwords during transactions [2] - Despite these security measures, there are still user concerns regarding trust, particularly around the initial authorization and agreement signing processes, indicating that widespread adoption may take time [2]

Group 1 - The Hong Kong stock market is experiencing significant volatility, particularly in technology stocks, with the Hang Seng Index dropping to 27,024 points, down 0.89%, and the Hang Seng Tech Index falling 1.68% [2] - NetEase's disappointing annual performance report has raised concerns among investors, leading to a 3.79% drop in its stock price, which has negatively impacted other tech stocks like Tencent and Alibaba [2][3] - Analysts suggest that upcoming earnings reports from tech companies may also underperform, and investors are advised to adopt a cautious stance until earnings are confirmed [2][3] Group 2 - The main support for the Hong Kong stock market comes from technology, especially AI, and new consumption sectors, with ongoing discussions about the impact of new technologies on traditional business models [4] - There are over 400 companies currently in the IPO application process in Hong Kong, with significant IPO unlocks expected in 2026, potentially affecting market liquidity [4] - Short-term market adjustments may occur, but there is potential for upward recovery, with projections suggesting the Hang Seng Index could rise to between 28,000 and 29,000 points if earnings growth stabilizes around 3% to 4% [4]