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智通港股通活跃成交|2月3日
智通财经网· 2026-02-03 11:05
智通财经APP获悉,2026年2月3日当天,腾讯控股(00700)、阿里巴巴-W(09988)、中芯国际(00981)位居 沪港通(南向)成交额前3位,成交额分别为106.98 亿元、63.97 亿元、38.32 亿元;腾讯控股(00700)、 阿里巴巴-W(09988)、中芯国际(00981) 位居深港通(南向)成交额前3位,成交额分别为86.50 亿元、 43.97 亿元、22.08 亿元。 | 公司名称 | 成交金额 | 净买入额 | | --- | --- | --- | | 腾讯控股(00700) | 106.98 亿元 | +22.02 亿元 | | 阿里巴巴-W(09988) | 63.97 亿元 | -5.87 亿元 | | 中芯国际(00981) | 38.32 亿元 | -8.06 亿元 | | 盈富基金(02800) | 27.14 亿元 | -25.58 亿元 | | 长飞光纤光缆(06869) | 18.24 亿元 | -1.44 亿元 | | 钧达股份(02865) | 17.92 亿元 | -3339.56 万元 | | 喜相逢集团(02473) | 17.83 亿元 | +1. ...
春节AI红包大战,谁会是赢家?|财经早察
2 1 Shi Ji Jing Ji Bao Dao· 2026-02-03 10:51
Core Viewpoint - Major internet companies are engaging in a "money-splashing" strategy during the Chinese New Year, with Tencent, Baidu, and Alibaba announcing significant cash giveaways to secure their positions in the emerging AI landscape [2][3]. Group 1: Company Strategies - Tencent is leveraging social engagement by combining its red envelope initiative with a new "Yuanbao" social feature, encouraging group interactions and AI creativity [4]. - Baidu is focusing on maintaining search habits by integrating its red envelope activities within the Baidu App, aiming to transition users towards conversational AI [4]. - Alibaba is not offering red envelopes but has launched a 3 billion yuan "Spring Festival Treat" initiative, promoting its ecosystem services through various platforms like Taobao and Fliggy [4]. Group 2: Market Impact - The immediate effect of these cash giveaways is evident, with Tencent's Yuanbao quickly rising to the top of the Apple App Store's free chart, achieving nearly one million downloads [5]. - However, there are concerns about the sustainability of user engagement post-campaign, as the effectiveness of these strategies in fostering long-term AI usage habits remains uncertain [5][6]. Group 3: Future Implications - The competition for AI application dominance is seen as entering a critical phase, with the 2026 Spring Festival marking a significant moment in this ongoing battle [6]. - The challenge lies in retaining users beyond the initial attraction of cash incentives, emphasizing the need for robust AI functionalities and integration into daily life [6].
游戏等行业增值税税率要提高?游戏股“深V”震荡,专家:没有可信度
Hua Xia Shi Bao· 2026-02-03 10:40
Core Viewpoint - Recent rumors regarding potential increases in value-added tax (VAT) rates for the gaming and financial industries have caused significant fluctuations in gaming stocks, but these rumors have been debunked by industry experts and authorities [3][4]. Group 1: Stock Market Reactions - On February 3, gaming stocks experienced a sharp decline, with Tencent (00700.HK) dropping over 6% and NetEase (09999.HK) falling more than 3% during intraday trading [1]. - A recovery was observed by the end of the trading day, with A-share gaming stocks rebounding, including Century Huatong and Gigabit Technology, both rising over 2% [1]. - The gaming index (BK1406) increased by more than 3.4%, with several component stocks, such as Shunwang Technology, surging by 13.8% [1]. Group 2: Tax Rumors and Clarifications - Recent rumors suggested that the VAT rate for the gaming industry could rise from 6% to 32%, which sparked concern among investors [3]. - Experts confirmed that these rumors lack credibility, stating that the maximum VAT rate in China is capped at 13%, and no adjustments to the tax policies for the gaming and financial sectors have been made [4]. - The implementation of the new VAT law and related announcements by the tax authorities have clarified that the tax rates for these industries are stable and well-defined [4].
腾讯取得语料标签确定方法专利
Jin Rong Jie· 2026-02-03 10:37
国家知识产权局信息显示,腾讯科技(深圳)有限公司取得一项名为"语料标签确定方法、装置、电子 设备及存储介质"的专利,授权公告号CN115203405B,申请日期为2022年6月。 作者:情报员 声明:市场有风险,投资需谨慎。本文为AI基于第三方数据生成,仅供参考,不构成个人投资建议。 本文源自:市场资讯 天眼查资料显示,腾讯科技(深圳)有限公司,成立于2000年,位于深圳市,是一家以从事软件和信息 技术服务业为主的企业。企业注册资本200万美元。通过天眼查大数据分析,腾讯科技(深圳)有限公 司共对外投资了15家企业,参与招投标项目280次,财产线索方面有商标信息5000条,专利信息5000 条,此外企业还拥有行政许可574个。 ...
刚刚,腾讯姚顺雨署名首篇论文发布,「下半场」先搞上下文学习
机器之心· 2026-02-03 10:35
Core Insights - The core argument of the article emphasizes that the key bottleneck for models to achieve high-value applications lies in their ability to effectively utilize context [1][5][7]. Group 1: Context Learning Challenges - Recent research indicates that even when context is provided, models may still struggle to solve tasks, highlighting a significant shortfall in their learning capabilities [5][32]. - The article discusses the difference in learning abilities among models, comparing it to individuals with varying talents who learn from the same material [5]. - Current models primarily rely on "parameterized knowledge," which is static and does not adapt to new information from the context [12][34]. Group 2: CL-bench Benchmark - The CL-bench benchmark was developed to assess how well language models can learn new knowledge from context and apply it correctly [16][26]. - It includes 500 complex contexts, 1,899 tasks, and 31,607 validation standards, all designed to require models to learn from the provided context [16][27]. - The benchmark covers four main real-world context learning scenarios: domain knowledge reasoning, rule system application, procedural task execution, and empirical discovery [28][29]. Group 3: Model Performance Evaluation - Evaluation results show that even the best-performing model, GPT-5.1 (High), only solved 23.7% of tasks, indicating a significant gap in context learning capabilities [31][32]. - The majority of errors stem from models ignoring or misusing context, rather than a lack of information [34][35]. - The article notes that models struggle particularly with tasks requiring inductive reasoning from experimental data, often achieving less than 10% success [39]. Group 4: Future Directions - The article suggests that improving context learning could shift the role of humans from data providers to context providers in AI systems [43]. - It raises the challenge of how to make knowledge learned from context persistent, as current models lose this knowledge once the context window is cleared [43][46]. - The potential for models to achieve autonomous learning through effective context learning and memory consolidation is highlighted as an exciting future prospect [47][48].
从生态共建到标杆认可:捷停车荣膺腾讯乐企财税优质合作伙伴
Sou Hu Wang· 2026-02-03 10:33
在1月22日举行的2026腾讯云合作伙伴大会上,深圳市顺易通信息科技有限公司(下称"捷停车") 凭借其 在停车场景财税数字化服务领域的卓越实践与深度共创,获授 "腾讯乐企财税优质合作伙伴"。 随着国家税务总局2024年11号公告,发票服务市场逐步进入新时代。捷停车作为智慧停车一体化服务平 台,联合腾讯云与微信支付积极响应政策号召,携手"先行先试",积极推动各试点工作落地,在"技术 赋能+场景创新"的双轮驱动下,为税务数字化转型注入新动能。 在过去多年的深入合作中,捷停车将领先的停车场景运营能力与腾讯乐企的技术及生态支持深度融合, 取得了实质性突破。 此次获评"优质合作伙伴",表明捷停车在连接生态伙伴、赋能停车行业的道路上取得了关键进展。作为 覆盖超1.5亿车主与6万智慧车场的平台,捷停车通过与腾讯乐企平台共建财税数字化基础设施,不仅加 固了自身的服务壁垒,更将腾讯的前沿技术与生态资源,转化为对B端车场和C端车主的切实价值,推 动了整个停车行业在合规、增效与体验上的全面升级。 展望未来,捷停车表示将以此次授牌为新的起点,继续深化与腾讯乐企等顶尖生态伙伴的战略协作。双 方将持续探索电子发票数据在车场精细化运营、商 ...
游戏等行业增值税税率要提高?专家:没有可信度
Sou Hu Cai Jing· 2026-02-03 10:25
Core Viewpoint - Recent rumors regarding potential adjustments to the value-added tax (VAT) rates for industries such as gaming and finance have caused significant market fluctuations, particularly affecting major companies like Tencent and NetEase. However, these rumors have been debunked by authoritative sources, confirming that no such changes are planned [1][4]. Group 1: Market Impact - The rumors about VAT adjustments led to substantial declines in stock prices for companies in the gaming and finance sectors, with Tencent dropping over 6% and NetEase fluctuating between gains and losses of more than 3% [1]. - Other companies such as Century Huatong and Giant Network also experienced significant stock price drops, with Century Huatong falling over 9% during trading [1]. Group 2: Clarification of Rumors - Experts and industry insiders have confirmed that the rumors regarding VAT increases, including a potential rise in the gaming industry's tax rate from 6% to 32%, are unfounded [4]. - The current VAT law in China stipulates that the maximum VAT rate is 13%, and there are no provisions for a 32% rate, further discrediting the rumors [4]. - Recent announcements from the financial and tax authorities have clarified that there will be no changes to the VAT policies affecting the gaming and finance sectors, ensuring stability and certainty in the tax regime [4].
游戏等行业增值税税率要提高?专家:没有可信度
证券时报· 2026-02-03 10:06
增值税传闻扰动市场。 近期,一些关于调整游戏、金融等行业增值税税率的传言在部分网络平台上传播。其中,提及金 融业、互联网增值服务等或将面临增值税税率上调,游戏行业的税率有可能从6%调高至32%。 自2026年1月1日起,《中华人民共和国增值税法》和《中华人民共和国增值税法实施条例》同步 施行。专家表示,财税部门近期发布了多项关于增值税政策的公告,这些政策主要是为了更好落 实增值税法、确保立法后的税制连贯性,其中对于游戏、金融等行业适用税率等政策都有明确的 规定,增强了政策确定性和稳定性。 "实际上,增值税立法后,增值税相关行业的税率都已明确,财税部门日前发布多项公告,也没有 调整游戏、金融行业增值税政策。上述传言不具备真实性。"一位业内人士表示。 这位业内人士称,网络传言中还提及游戏行业的税率要"从6%的档次调高至32%的档次"。但 实际 上,目前我国增值税法明确规定,增值税税率最高仅为13%,32%这个档次是不存在的,进一步 说明传言不具备可信度。 综合自:新华社 责编:万健祎 校对: 许欣 受传闻影响,腾讯、网易、世纪华通、三七互娱、巨人网络等盘中一度大幅跳水,其中,腾讯一 度跌超6%,网易从涨超3%一度 ...
北水动向|北水成交净买入9.52亿 科网及芯片股明显分化 内资抛售盈富基金超37亿港元
Zhi Tong Cai Jing· 2026-02-03 10:04
智通财经APP获悉,2月3日港股市场,北水成交净买入9.52亿港元,其中港股通(沪)成交净买入17.33亿港元,港股通(深) 成交净卖出7.81亿港元。 北水净买入最多的个股是腾讯(00700)、南方恒生科技(03033)、中国移动(00941)。北水净卖出最多的个股是盈富基金 (02800)、中芯国际(00981)、阿里巴巴-W(09988)。 | 股票名称 | 买入额 | 卖出额 | 买卖总额 | | --- | --- | --- | --- | | | | | 净流入 | | 腾讯控股 | 64.50亿 | 42.48亿 | 106.98亿 | | HK 00700 | | | +22.02亿 | | 阿里巴巴-W | 29.05亿 | 34.92 Z | 63.97 亿 | | HK 09988 | | | -5.87 亿 | | 中芯国际 | 15.13亿 | 23.19 乙 | 38.32亿 | | HK 00981 | | | -8.06 Z | | 盈富基金 | 7802.83万 | 26.36亿 | 27.14亿 | | HK 02800 | | | -25.58 亿 | | 长飞光纤 . ...
北水动向|北水成交净买入9.52亿 科网及芯片股明显分化 内资抛售盈富基金(02800)超37亿港元
智通财经网· 2026-02-03 09:57
北水净买入最多的个股是腾讯(00700)、南方恒生科技(03033)、中国移动(00941)。北水净卖出最多的个股是盈富基金 (02800)、中芯国际(00981)、阿里巴巴-W(09988)。 港股通(深)活跃成交股 智通财经APP获悉,2月3日港股市场,北水成交净买入9.52亿港元,其中港股通(沪)成交净买入17.33亿港元,港股通(深) 成交净卖出7.81亿港元。 | 股票名称 | 买入额 | 卖出额 | 买卖总额 | | --- | --- | --- | --- | | | | | 净流入 | | 腾讯控股 | 64.50亿 | 42.48亿 | 106.98亿 | | HK 00700 | | | +22.02亿 | | 阿里巴巴-W | 29.05亿 | 34.92 Z | 63.97 亿 | | HK 09988 | | | -5.87 亿 | | 中芯国际 | 15.13亿 | 23.19 乙 | 38.32亿 | | HK 00981 | | | -8.06 Z | | 盈富基金 | 7802.83万 | 26.36亿 | 27.14亿 | | HK 02800 | | | -25.58 ...