中国信息通信研究院院长余晓晖称："中国大模型的进步是非常快的，无论是说从大语言模型的基础能力，还是推理能力，还是说多模态 模型的理解和生成能力。" 在中国最早发展数据标注产业的地区之一贵州，已逐渐形成数据标注全产业链，创新要素聚集、产业链上下游联动、区域协同发展。 央视网消息：国务院日前印发《关于深入实施"人工智能+"行动的意见》，《意见》提出要加快推动"人工智能+"产业发展。近期，一系列 面向工业制造领域的大模型相继发布，加速推动人工智能全环节落地应用。目前，中国算力总规模位居全球第二，基础大模型迭代速度加快， 大模型产业形成涵盖基础层、模型层、应用层的完整架构。 《意见》首次布局了智能原生新技术、新业态、新模式，也首次提出第一、二、三产业全要素智能化转型发展路径。推动工业全要素智能 联动，加快人工智能在设计、生产、运营等全环节落地应用。专家表示，"人工智能+"正加速推动国民经济三大产业向智能化跃迁。 一款面向钢铁、有色金属、化工、建材等领域，聚焦流程工业的大模型近日在杭州正式发布，同期，130余家行业头部企业、设计院等成 立了"工业AI数据联盟"，加快推动工业数据场景化、规模化应用与服务共享，加速数据价值 ...

新华财经上海7月25日电 在2025世界人工智能大会（简称＂ WAIC 2025"）开幕前夕，上海阶跃星辰智 能科技有限公司25日发布了新一代基础大模型Step 3。阶跃星辰同时还联合国内多家芯片、平台厂商发 起成立"模芯生态创新联盟"，将通过推动模型和芯片产业链联合创新，加速大模型应用落地。 阶跃星辰专注于基础大模型的研发，持续推进模型的技术迭代。阶跃星辰创始人、首席执行官姜大昕表 示："随着大模型进入到强化学习发展阶段，新一代推理模型成为主流，模型性能的提升固然显著，但 这是否完全等同于模型价值？面对这一产业之问，我们必须回归客户需求，立足真实应用场景，探索大 模型创新落地的可行路径。这是我们研发新一代Step 3基础模型的出发点。" 随着大模型技术迈向推理时代，阶跃星辰提出，最适合实际应用的大模型需要满足强智能、低成本、可 开源和多模态四个特征。基于这样的研发理念，阶跃星辰打造了新一代基础模型Step 3，专为追求性能 与成本均衡的企业和开发者设计。阶跃星辰同时宣布Step 3将在7月31日面向全球企业和开发者开源， 为开源世界贡献多模态推理模型。 要让大模型真正能用起来，需要从模型、芯片、平台到应用的 ...

Core Insights - The company Jieyue Xingchen has launched its next-generation foundational model, Step3, which emphasizes multimodal reasoning capabilities [1] - The Step3 model achieves up to 300% efficiency in 32K context reasoning on domestic chips compared to DeepSeek R1 [1] - The Step3 model is planned to be open-sourced globally on July 31 [1]

近日，市场研究和咨询机构IDC正式发布《中国基础大模型产品综合评估报告，2025》，文心大模型在 8项核心评估维度中斩获7项最高分，成为本次评估中唯一获得7项满分的大模型。IDC特别指出，百度 始终专注投入基础大模型研发，是国内最早投入大模型产研的公司，文心大模型在多轮对话大模型的记 忆、理解、指令遵循能力明显领先。 ...

有媒体总结以字节跳动、阿里巴巴、阶跃星辰、智谱AI和DeepSeek为代表的基模"五强"强势崛起，成为国产基础大模型领域的核心 力量。基模"五强"成色如何，有没有水分？听听大模型们怎么说？ 01 DeepSeek 河,应用场景覆盖电商、医疗、教育 1 8。 短板: 。 商业化压力：开源策略虽获开发者青睐，但商业版变现能力弱于封闭模型，垂直领域落地深度不足 3 (8)。 · 技术成熟度争议：多模态理解与生成仍依赖分立模型，尚未实现一体化架构，可能影响AGI进程 6 亿 5. 潜力与风险并存: 智谱AI 优势: 短板: 。 创新力受限：依赖传统技术路径（如GLM系列），未展现颠覆性突破，开源策略启动较晚（2025 年),生态建设落后于阿里(1 8)。 综合评价 未来决胜点: 0 3 6 P 4. 多模态卷王:阶跃星辰 优势: 短板: 图源：DeepSeek截图 DeepSeek,总结：中国大模型"基模五强"中，DeepSeek:凭借技术突破（数学推理、极致性价比）和开源生态成为最强技术黑马，字节跳动则以全 栈布局（芯片、模型、应用）和亿级日活生态占据综合优势；阿里巴巴依托全球顶尖开源模型和全栈基建稳居开源王者，但 ...

Group 1: Market Performance - The Zhongzheng Guangdong-Hong Kong-Macao Greater Bay Area Development Theme Index (931000) rose by 1.05% as of May 12, 2025, with notable increases in constituent stocks such as Guangdong Hongda (002683) up 6.04%, China Shipbuilding Defense (600685) up 4.54%, and Huada Gene (300676) up 3.93% [1] - The Greater Bay Area ETF (512970) increased by 0.85%, with a latest price of 1.19 yuan, and has seen a cumulative rise of 2.34% over the past week as of May 9, 2025 [1] Group 2: Fund Performance - The State-Owned Enterprise Win-Win ETF (159719) rose by 0.20% as of May 12, 2025, with a latest price of 1.49 yuan, and has shown a cumulative increase of 1.02% over the past week as of May 9, 2025 [2] - The State-Owned Enterprise Win-Win ETF has achieved a net value increase of 44.07% over the past three years, ranking 77 out of 1747 index stock funds, placing it in the top 4.41% [2][3] - The fund has a year-to-date relative drawdown of 0.15%, the smallest among comparable funds [3] Group 3: Fee Structure - The management fee for the Greater Bay Area ETF is 0.15% and the custody fee is 0.05% [1] - The management fee for the State-Owned Enterprise Win-Win ETF is 0.25% and the custody fee is 0.05%, which is the lowest among comparable funds [3] Group 4: Strategic Insights - The State-Owned Assets Supervision and Administration Commission emphasized the need for state-owned enterprises to enhance their capabilities in key technological areas and integrate artificial intelligence into critical business processes [3] - Analysts believe that the ongoing benefits from state-owned enterprises present long-term investment value, with potential opportunities in debt reduction and mergers and acquisitions, as well as investments in undervalued sectors with high dividends [3] Group 5: Index Composition - The State-Owned Enterprise Win-Win ETF closely tracks the FTSE China State-Owned Enterprises Open Win-Win Index, which consists of 100 constituent stocks, including 80 A-share companies and 20 Chinese companies listed in Hong Kong [4] - The top ten constituent stocks of the Greater Bay Area Development Theme Index include BYD (002594), China Ping An (601318), and China Merchants Bank (600036), collectively accounting for 53.49% of the index [4][8]

Core Viewpoint - The company, Jieyue Xingchen, is committed to the research and development of foundational large models, despite many competitors shifting focus away from this area. The CEO, Jiang Daxin, emphasizes the importance of continuing to invest in foundational models to keep pace with industry trends and technological advancements [1][2]. Group 1: Commitment to Foundational Models - Jiang Daxin explains that the company does not want to abandon mainstream growth trends and will continue to focus on foundational model research [2]. - The relationship between applications and models is seen as complementary, where models set the upper limits for applications, and applications provide specific scenarios and data for models [3]. Group 2: Product Evolution - Over the past year, the company's products have undergone significant changes, including a rebranding of its C-end assistant app from "Yuewen" to "Jieyue AI," reflecting a shift from a ChatGPT-like product to an agent platform [4]. - The company has released 22 foundational models in two years, with 16 being multimodal models, indicating a strong focus on diverse applications across text, voice, image, video, and music [10][11]. Group 3: Trends in Large Models - Jiang Daxin identifies two significant trends in the large model field: the transition from imitation learning to reinforcement learning, and the evolution from multimodal fusion to integrated multimodal understanding and generation [7][9]. - The company aims to achieve integrated multimodal understanding and generation, which means using a single model for both understanding and generating content across different modalities [12][13]. Group 4: Technical Challenges and Future Directions - The complexity of visual content generation requires a better understanding of context, as visual modalities are higher-dimensional and continuous compared to language modalities [14]. - The company is working on developing a scalable architecture for visual understanding and generation, with initial successes in models like Step1X-Edit [16][17]. - Jiang Daxin expresses confidence in the company's ability to explore multiple technical paths simultaneously, as achieving integrated understanding and generation requires strong capabilities across various modalities [21][22].

Group 1 - The State-owned Assets Supervision and Administration Commission (SASAC) emphasizes the importance of self-reliance and accelerating the mastery of key technologies in critical fields [1] - The focus is on application-oriented strategies, guiding enterprises to deeply integrate artificial intelligence into key scenarios of research and development, as well as production [1] - There is a call for enhanced collaboration to accelerate the establishment of industrial communities and explore new models for high-quality data sharing and co-construction [1] Group 2 - The need to strengthen internal security capabilities in state-owned enterprises is highlighted, ensuring compliance with national security and mainstream values [1]