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新加坡国家AI计划放弃Meta模型,转向阿里千问;腾讯混元OCR模型宣布开源丨AIGC日报
创业邦· 2025-11-26 00:08
Group 1 - Singapore's National AI Strategy is shifting from Meta's model to Alibaba's Qwen, indicating a significant expansion of Chinese open-source AI models globally. Since its full release in 2023, Qwen has surpassed models like Llama and Deepseek, becoming the strongest and most widely used open-source large model, with over 600 million downloads globally [2] - The U.S. plans to establish a comprehensive AI platform, likened to the Manhattan Project, to accelerate AI applications in transformative scientific discoveries. This initiative, called the "Genesis Mission," aims to integrate resources from national laboratories, scientists, businesses, and universities to train foundational models using federal scientific datasets [2] - Elon Musk is advancing the use of Grok to replace employees at X company, significantly reducing the team responsible for trust and safety issues. The team has shrunk from over 100 members to fewer than 20, as Musk plans to fully automate user interest matching through Grok [2] - Tencent has launched the HunyuanOCR model, which is open-source and built on its native multi-modal architecture, achieving state-of-the-art results in various OCR applications with only 1 billion parameters [2]
年内 港股公司合计回购金额逾1500亿港元
Zheng Quan Ri Bao· 2025-11-25 23:44
Core Viewpoint - The Hong Kong stock market has seen a significant increase in share buybacks by companies, indicating confidence in future prospects and helping to stabilize investor sentiment [1][2][3]. Group 1: Share Buyback Activities - As of November 25, 2023, 247 Hong Kong companies have repurchased a total of 6.769 billion shares, amounting to approximately 154.415 billion HKD [1]. - In November alone, 90 companies repurchased shares worth about 8.333 billion HKD [1]. - Major companies leading the buyback activities include Tencent Holdings, HSBC Holdings, and AIA Group, with buyback amounts of 64.143 billion HKD, 30.257 billion HKD, and 17.693 billion HKD respectively [2]. Group 2: Industry Distribution - The buybacks are concentrated in sectors such as financials, information technology, consumer staples, healthcare, and energy [1]. - The information technology sector has the highest number of companies engaging in buybacks, while the healthcare sector stands out in terms of both buyback amounts and numbers [1][2]. Group 3: Market Conditions and Future Outlook - The Hong Kong stock market has shown improved liquidity, with the average daily trading amount reaching a record high of 286.4 billion HKD in Q3 2023 [4]. - Analysts predict a dual opportunity in the market, focusing on high dividend assets and technology growth sectors, particularly those related to AI [5]. - The implementation of a new treasury stock mechanism in June 2024 is expected to encourage more companies to participate in buybacks [3].
智通港股通资金流向统计(T+2)|11月26日
智通财经网· 2025-11-25 23:40
Key Points - On November 21, Tencent Holdings (00700), Xiaomi Group-W (01810), and Alibaba-W (09988) ranked as the top three in net inflow of southbound funds, with net inflows of 1.735 billion, 1.270 billion, and 1.156 billion respectively [1] - The top three in net outflow of southbound funds were Yingfu Fund (02800), Hang Seng China Enterprises (02828), and Southern Hang Seng Technology (03033), with net outflows of -5.138 billion, -1.106 billion, and -0.424 billion respectively [1] - In terms of net inflow ratio, Shenzhen Expressway Company (00548), China Everbright Bank (06818), and Xin Ao Energy (02688) led the market with ratios of 58.43%, 57.75%, and 56.76% respectively [1] - The top three in net outflow ratio were Wisdom Hong Kong 100 (02825), China Oriental Education (00667), and China Tobacco Hong Kong (06055), with ratios of -100.00%, -67.02%, and -59.95% respectively [1] Net Inflow Rankings - Tencent Holdings (00700) had a net inflow of 1.735 billion, representing an increase of 11.98% in its closing price of 610.000, down by 1.77% [2] - Xiaomi Group-W (01810) saw a net inflow of 1.270 billion, with a net inflow ratio of 8.03% and a closing price of 38.080, up by 1.01% [2] - Alibaba-W (09988) recorded a net inflow of 1.156 billion, with a net inflow ratio of 5.51% and a closing price of 147.600, down by 4.65% [2] Net Outflow Rankings - Yingfu Fund (02800) experienced the highest net outflow of -5.138 billion, with a net outflow ratio of -27.71% and a closing price of 25.360, down by 2.46% [2] - Hang Seng China Enterprises (02828) had a net outflow of -1.106 billion, with a net outflow ratio of -24.09% and a closing price of 91.020, down by 2.59% [2] - Southern Hang Seng Technology (03033) recorded a net outflow of -0.424 billion, with a net outflow ratio of -3.05% and a closing price of 5.270, down by 3.66% [2] Net Inflow Ratio Rankings - Shenzhen Expressway Company (00548) led with a net inflow ratio of 58.43%, with a net inflow of 4.4352 million and a closing price of 7.430, down by 1.59% [3] - China Everbright Bank (06818) followed with a net inflow ratio of 57.75%, with a net inflow of 83.2548 million and a closing price of 3.560, down by 3.52% [3] - Xin Ao Energy (02688) had a net inflow ratio of 56.76%, with a net inflow of 2.55 billion and a closing price of 69.250, down by 0.57% [4] Net Outflow Ratio Rankings - Wisdom Hong Kong 100 (02825) had a net outflow ratio of -100.00%, with a net outflow of -47,000 and a closing price of 29.380, down by 2.84% [4] - China Oriental Education (00667) recorded a net outflow ratio of -67.02%, with a net outflow of -38.7559 million and a closing price of 5.550, down by 2.80% [4] - China Tobacco Hong Kong (06055) had a net outflow ratio of -59.95%, with a net outflow of -1.27 billion and a closing price of 33.240, down by 3.60% [4]
海外市场手游收入TOP100:国内厂商超30家,点点互动第一
3 6 Ke· 2025-11-25 23:32
我们统计了今年(截至11月15日)全球手游发行商在海外市场的收入表现并进行排名。 | 45 | NCSUFI | 리니시M、리니시W | 40000 | | --- | --- | --- | --- | | 24 | SciPlay | Jackpot Party | 40000 | | ડર | Modern Times Group | RAID: Shadow Legends | 36000 | | 26 | CyberAgent | Umamusume: Pretty Derby | 34000 | | 27 | Sony | Fate/Grand Order | 33000 | | 28 | 网易 | 荒野行动、第五人格 | 31000 | | 29 | FunPlus | State of Survival, DC: Dark Legion | 31000 | | 30 | 三七互娱 | Puzzles & Survival | 31000 | | 31 | 海彼 | Archero 2. Capybara Go! | 29000 | | 32 | River Game | Top Heroes, ...
智通ADR统计 | 11月26日
智通财经网· 2025-11-25 22:22
Core Viewpoint - The Hang Seng Index (HSI) showed a slight increase, closing at 25,939.89, up by 0.18% from the previous day, indicating a mixed performance among large-cap stocks in the Hong Kong market [1]. Group 1: Market Performance - The HSI closed at 25,939.89, with a daily increase of 45.34 points or 0.18% [1]. - The highest price during the day was 26,014.67, while the lowest was 25,878.31, resulting in a trading range of 0.53% [1]. - The average price for the day was 25,946.49, with a trading volume of 61.41 million shares [1]. Group 2: Individual Stock Performance - HSBC Holdings closed at 108.109 HKD, up by 1.23% compared to the previous close [2]. - Tencent Holdings closed at 622.043 HKD, down by 0.47% from the previous close [2]. - Alibaba Group's stock price increased by 2.14% to 157.800 HKD, while its ADR price was 152.624, reflecting a decrease of 3.28% [3]. - Other notable performances include Meituan, which rose by 0.10% to 98.250 HKD, and BYD, which increased by 0.95% to 95.750 HKD [3].
云技术让民众生活更便捷
Xin Hua Ri Bao· 2025-11-25 21:46
本报讯(记者张宣)近日,记者从腾讯全球数字生态大会无锡峰会上了解到,2002年以来,腾讯已联合超 1000家伙伴服务我省3万家客户,为我省民营企业头部20强中80%的企业提供数字化服务,而这些数字 合作正通过AI、云计算技术,切实改变着江苏民众的日常生活。 "云技术就是把原本需要在个人电脑、手机或企业本地服务器上运行的软件、存储的数据,转移到互联 网背后的'巨型数据中心'(也就是'云')里,通过网络随时调用的技术。"腾讯集团副总裁、政企业务总裁 李强解释,云技术早已渗透到江苏人生产生活的方方面面,让便捷触手可及。在教育领域,腾讯云助力 打造的江苏省"名师空中课堂"已覆盖全省8500多所学校、900万学生。不管是城市还是乡村的孩子,都 能通过线上平台聆听名师讲课,遇到难题还能享受AI答疑,真正打破了地域带来的教育资源壁垒。 交通出行方面,无锡地铁的50多个业务系统、400多套操作系统通过腾讯云完成国产化升级,成为轨道 交通行业标杆案例。地铁调度和运维更安全高效,市民出行也更放心。 政务服务方面,云服务支持的江苏人社"视频办"业务已在扬州落地,未来将覆盖全省13个设区市。民众 无需线下跑腿,通过小程序就能线上办理 ...
查资料、劝老板、写周报,给上班人准备的大模型评测
晚点LatePost· 2025-11-25 15:01
Core Insights - The article highlights the rapid growth in the usage of large model assistants in China, with over 100 million daily users, marking a 900% increase since April last year [3] - A comprehensive evaluation of 14 large models was conducted, focusing on their performance in everyday work-related tasks rather than programming or deep research [3][5] - The evaluation involved blind assessments of the models' responses to various prompts, revealing differences in their capabilities and user experiences [5][8] Model Performance Summary - The evaluation included models from companies like OpenAI, Anthropic, Google, and several Chinese firms, with most models priced around $20 per month [4] - ChatGPT received the highest scores in the blind assessments, followed by StepFun and SenseNova, while MiniMax Agent scored the lowest due to its simplistic approach [8][13] - The models were tested on their ability to handle complex tasks, such as role-playing and brainstorming, with varying degrees of success [6][7] User Interaction and Feedback - Users reported that while the models showed improvements in their capabilities, the practical experience did not always align with the benchmark scores advertised by the companies [3][5] - The models were assessed on their ability to provide coherent and contextually relevant responses, with some models struggling with longer contexts or complex queries [8][23] Long Text Processing and Document Handling - The models were tested on their ability to process long documents, with none achieving perfect results, indicating ongoing challenges in this area [23][25] - Gemini and Yuanbao performed relatively well in extracting participant information from a lengthy conference manual, but issues like hallucinations and incomplete data were noted [25][26] Search and Information Retrieval - The article discusses the models' capabilities in replacing traditional search engines, with some models successfully retrieving specific articles and documents, while others struggled [53][60] - ChatGPT and Kimi excelled in finding relevant content, while models like DeepSeek and Qwen failed to provide accurate links or information [69] Conclusion - The evaluation indicates that while large models have made significant strides in user engagement and task performance, there are still notable gaps in their practical application and reliability [3][5][23]
腾讯控股(00700.HK)11月25日回购6.36亿港元,已连续6日回购
证券时报·数据宝统计,腾讯控股在港交所公告显示,11月25日以每股620.500港元至634.500港元的价格 回购101.40万股,回购金额达6.36亿港元。该股当日收盘价625.000港元,上涨0.08%,全天成交额93.27 亿港元。 | 2025.06.11 | 96.90 | 518.000 | 514.500 | 50052.03 | | --- | --- | --- | --- | --- | | 2025.06.10 | 97.30 | 520.000 | 509.000 | 50045.30 | | 2025.06.09 | 96.80 | 520.500 | 513.000 | 50057.43 | | 2025.06.06 | 97.50 | 516.500 | 511.500 | 50084.93 | | 2025.06.05 | 97.50 | 517.500 | 509.500 | 50066.06 | | 2025.06.04 | 98.00 | 513.000 | 507.500 | 50034.58 | | 2025.06.03 | 99.40 | 505.000 | 50 ...
港股通净买入111.66亿港元
Core Viewpoint - On November 25, the Hang Seng Index rose by 0.69%, closing at 25,894.55 points, with a net inflow of HKD 11.166 billion through the southbound trading channel [1]. Group 1: Market Activity - The total trading volume for the southbound trading on November 25 was HKD 1,012.80 billion, with a net buying amount of HKD 11.166 billion [1]. - The Shanghai Stock Exchange's southbound trading accounted for HKD 617.70 billion in trading volume, with a net buying of HKD 7.137 billion [1]. - The Shenzhen Stock Exchange's southbound trading had a volume of HKD 395.10 billion, resulting in a net buying of HKD 4.028 billion [1]. Group 2: Active Stocks - Alibaba-W was the most actively traded stock, with a trading volume of HKD 1,005.98 million and a net buying amount of HKD 350.41 million, closing with a price increase of 2.14% [2]. - Xiaomi Group-W followed with a trading volume of HKD 506.06 million, but had a net selling of HKD 20.34 million, closing up by 4.35% [2]. - Semiconductor Manufacturing International Corporation (SMIC) had a trading volume of HKD 282.32 million, with a net selling of HKD 24.59 million, and closed down by 0.15% [2].
腾讯混元OCR模型宣布开源:参数量1B 支持14种小语种翻译
Feng Huang Wang· 2025-11-25 14:22
在性能方面,HunyuanOCR在复杂文档解析评测OmniDocBench中获得94.1分,超过谷歌Gemini3-pro等 模型;在涵盖文档、街景、手写等九大场景的测试集上,其文字检测与识别能力领先同类开源及商业模 型。同时,该模型支持14种小语种翻译,并在ICDAR2025文档翻译比赛中获得小模型赛道冠军。 目前该模型已应用于票据字段抽取、视频字幕识别及拍照翻译等场景,并正式对外开放源代码。 凤凰网科技讯 11月25日,腾讯混元于11月25日推出开源OCR模型HunyuanOCR,该模型参数量为1B, 基于混元原生多模态架构构建,在多项OCR应用评测中取得当前最优效果。 该模型采用端到端训练推理范式,通过单次前向推理即可完成多项任务,相比传统级联方案更具效率优 势。其架构由原生分辨率视频编码器、自适应视觉适配器与轻量化语言模型三部分组成。 ...