（编辑 王雪儿） 证券日报网讯 拓尔思9月25日在互动平台回答投资者提问时表示，公司在AI智能体方向已形成系统性布 局并取得实质性进展。今年公司的拓天大模型一体化平台已进化为拓天生产级垂直智能体平台，重点在 自主规划、多智能体协作与深度研究等关键能力方向进行突破研发，相关成果已在金融、政务、公共安 全、知识产权、舆情及特种行业等多个高价值场景中实现规模化落地应用。在多模态AI领域，拓天大 模型的核心优势体现在对音频、视频等跨模态信息的深度理解与生成能力上，目前已取得多项关键进 展，包括高保真语音克隆、精准口型同步合成以及生成效率的显著提升。同时，模型集成的AI内容识 别与鉴伪功能等能力已在认知域等前沿场景中实现落地应用，展现出良好的实用价值。 ...

Market Overview - The three major indices opened slightly lower, with the Shanghai Composite Index maintaining narrow fluctuations throughout the day, while the ChiNext Index rose over 2% at one point, reaching a three-year high [1] - By the end of the trading day, the Shanghai Composite Index fell by 0.01%, the Shenzhen Component Index increased by 0.67%, and the ChiNext Index rose by 1.58% [1] - The total trading volume in the Shanghai and Shenzhen markets was approximately 2.39 trillion yuan [1] Sector Performance - The controllable nuclear fusion concept saw strong performance, with stocks like Haheng Huaton and Hezhuan Intelligent hitting the daily limit [1] - The copper cable high-speed connection concept was active, with stocks such as New Asia Electronics also reaching the daily limit [1] - The short drama gaming concept gained momentum, with Huanrui Century hitting the daily limit [1] - The multimodal AI concept rose, with Tianxiexiu reaching the daily limit [1] - The liquid cooling server concept also saw gains, with stocks like Cambridge Technology and Inspur Information hitting the daily limit [1] Notable Stocks - Contemporary Amperex Technology Co., Ltd. (CATL) saw its stock rise over 5% during the day, reaching a historical high, with a total market value exceeding 1.84 trillion yuan [1] - Sectors such as IT equipment, internet, non-ferrous metals, and electrical equipment showed significant gains, while textiles and apparel, engineering machinery, agriculture, forestry, animal husbandry, fishery, and transportation infrastructure sectors experienced declines [1]

Core Viewpoint - The three major indices experienced slight declines at the opening but then rose, with the Shanghai Composite Index increasing by 0.16%, the Shenzhen Component Index by 1.14%, and the ChiNext Index by 2.22%, reaching a new three-year high [1] Market Performance - The trading volume in the Shanghai and Shenzhen markets reached approximately 1.56 trillion yuan [1] Sector Highlights - The controllable nuclear fusion concept saw strong performance, with companies like Haohuan Huaton and Hezhuan Intelligent hitting the daily limit [1] - The multi-modal AI concept was active, with Tianxiexiu also hitting the daily limit [1] - The BC battery concept gained momentum, with TCL Zhonghuan reaching the daily limit [1] - The liquid cooling server concept rose, with companies such as Xinya Electronics and Inspur Information hitting the daily limit [1] - Contemporary Amperex Technology Co., Ltd. (CATL) saw its A-shares rise over 5%, reaching a historical high [1] Sector Performance - IT equipment, internet, electrical equipment, and non-ferrous metals sectors showed significant gains [1] - Conversely, the tourism, banking, transportation infrastructure, and public transportation sectors experienced declines [1]

Core Viewpoint - Shenzhen SanTai E-commerce Co., Ltd. is experiencing fluctuations in stock performance, with a recent decline of 2.84% and a market capitalization of 6.745 billion yuan, while the company is focusing on cross-border e-commerce and AI-driven solutions for risk management [1][2][3]. Company Overview - Shenzhen SanTai E-commerce Co., Ltd. was established on January 7, 2008, and went public on September 28, 2023. The company specializes in cross-border e-commerce retail and logistics, with revenue composition of 76.14% from product sales and 23.80% from logistics services [7][8]. - The company has developed a proprietary AI-based risk detection tool named "RuiGuan·ERiC," which is designed to provide flexible and cost-effective risk monitoring solutions for businesses [2][3]. Financial Performance - For the first half of 2025, the company reported a revenue of 827 million yuan, reflecting a year-on-year growth of 3.27%, while the net profit attributable to shareholders decreased by 48.75% to 23.26 million yuan [8]. - The company has a high overseas revenue ratio of 99.98%, benefiting from the depreciation of the Chinese yuan [3]. Market Activity - The stock has seen a net outflow of 12.04 million yuan from major investors, indicating a trend of reduced holdings over the past three days [4][5]. - The average trading cost of the stock is 9.30 yuan, with the current price approaching a support level of 8.52 yuan, suggesting potential volatility [6]. Shareholder Structure - As of June 30, 2025, the largest shareholder is Hong Kong Central Clearing Limited, holding 3.3285 million shares, with notable increases in holdings from several ETFs [9].

重要新闻提示 第十一批国家组织药品集中采购规则发布 网信部门依法查处微博、快手破坏网络生态案件 电影《731》累计票房突破10亿元 财经新闻 3. 据"网信中国"微信公众号9月20日消息，近日，针对微博平台未落实信息内容管理主体责任，在热搜 榜单主榜高位呈现大量炒作明星个人动态和琐事类词条等不良信息内容，破坏网络生态的问题，针对快 手平台未落实信息内容管理主体责任，在热搜榜单主榜扎堆呈现炒作明星个人动态和琐事类词条等不良 信息内容，存在泛娱乐化倾向问题，国家网信办指导北京市网信办，依据《网络信息内容生态治理规 定》等有关规定，对微博平台、快手平台采取约谈、责令限期改正、警告、从严处理责任人等处置处罚 措施。详见《网信部门依法查处微博、快手破坏网络生态案件》 1. 据国新网消息，国务院新闻办公室将于9月22日（星期一）下午3时举行 "高质量完成'十四五'规划"系 列主题新闻发布会，请中国人民银行行长潘功胜，金融监管总局局长李云泽，中国证监会主席吴清，中 国人民银行副行长、国家外汇局局长朱鹤新介绍"十四五"时期金融业发展成就，并答记者问。 4. 据国家医保局网站消息，9月20日，国家组织药品联合采购办公室发布第十 ...

Core Viewpoint - The strategic partnership between Qiniu Intelligent and Wuxiang Cloud Valley aims to make AI inference computing power affordable, targeting the trillion-level AI inference market as the industry shifts from "heavy training" to "heavy inference" [2][3]. Group 1: Market Opportunity - The collaboration is positioned to capitalize on the explosive growth of inference computing power, with predictions indicating a distribution of "5% training and 95% inference" in AI computing needs [3]. - The demand for inference is expected to grow exponentially, with token usage in AI applications increasing significantly, as evidenced by Google's token processing volume doubling from 480 trillion to 960 trillion in just two months [3][4]. - The partnership targets a significant gap in the inference computing market, which is becoming the primary focus as AI applications become more prevalent [3]. Group 2: Competitive Advantage - Qiniu Intelligent has a first-mover advantage in inference computing, having built a robust platform since 2011, with over 1.69 million developers contributing to its ecosystem [5][6]. - The collaboration with Wuxiang Cloud Valley enhances Qiniu's infrastructure capabilities, with an investment of 3.6 billion yuan to support high-performance computing clusters [5][6]. - The combination of "ecosystem + infrastructure" creates a strong competitive barrier that is difficult for single vendors to replicate [5][6]. Group 3: Growth Potential - The partnership aligns with national policies promoting "inclusive AI," which may lead to additional support and resources [6]. - The collaboration will explore vertical industry solutions, such as "AI + education" and "AI + energy," tapping into sectors with low digitalization and high demand for AI services [6]. - Qiniu Intelligent is positioned to leverage its geographical advantage in Guangxi to provide cross-border inference services, facilitating the expansion of Chinese AI applications into Southeast Asia [6]. Group 4: Business Model and Financial Outlook - Qiniu Intelligent has developed a comprehensive business model that integrates foundational infrastructure, AI engines, and end-user applications, enhancing its market position [7][8]. - The company's AI Cloud segment has shown significant growth, with revenues reaching 184 million HKD in the first half of 2025, a 64.6% year-on-year increase [10]. - The financial trajectory indicates a nearing profitability point, with adjusted EBITDA narrowing to -3.5 million HKD, driven by the high-margin AI business [13][14]. Group 5: Valuation and Market Position - The current market valuation does not fully reflect Qiniu Intelligent's transition to a high-growth AI infrastructure provider, as it remains categorized as a traditional media cloud service [16][17]. - Compared to international peers, Qiniu's valuation multiples are significantly lower, suggesting potential for revaluation as the company progresses through a catalyst-rich period [17]. - The extensive developer ecosystem of over 1.69 million provides a solid foundation for revenue growth, with any increase in conversion rates leading to substantial revenue elasticity [15].

今年6月，阶跃星辰首席科学家张祥雨在访谈中谈及了他在近两年模型训练中遇到的最大困境——多模态AI的内部，一直有一场"内战"。 具体是，在大一统多模态模型训练中，视觉的"理解"与"生成"能力可以共存，却很少协作，甚至时常内耗 。在联合训练时，一方能力的提升甚至还会导 致另一方性能的下降 。 这和我们的认知完全相反。对于一个人类来讲，他对画面的理解越深入，作画也就可能更精妙。但在多模态模型中，理解和生成，二者之间没有形成有效 的"信息增益"和"相互促进"。 张祥雨对此作出的解释是，图像生成太复杂了，得有极其复杂的空间规划、物理常识和语义推理。而Transformer模型虽然强大，但它在一次前向传播中 能执行的逻辑推理步骤是有限的。你让它根据"画一个宇航员在月球骑方形轮子的自行车"这个指令，一次性生成符合所有物理、几何、语义约束的图像太 难了。 而在训练过程中，因为这种单次推理，导致梯度信号太粗糙，训练出来的理解模型根本没法给生成模型有效指导，而反向亦然，生成模块的失败，也无法 有效地帮助理解模块进步。 因此张祥雨给出的解决方法是多模态模型应该像语言推理一样，引入"思维链"（Chain-of-Thought）。让模 ...

Core Insights - The article argues that there are six fundamental misconceptions about AI, leading to overly optimistic short-term expectations from the market and companies. The true power of AI lies in long-term applications and deep integration rather than immediate disruptive miracles [1][3][4] Group 1: AI's Development and Impact - AI's development will follow a slow and complex trajectory, similar to past general-purpose technologies like electricity and the internet, which took decades to fully integrate into the economy [3][4] - Research indicates that only 5% of job tasks will be completed profitably by AI in the next decade, contributing just 1% to the US GDP, which is far less than many expect [4] - The challenges of AI adoption include high costs related to technology transformation, employee retraining, and system integration, which often outweigh the benefits [4][6] Group 2: Market Misjudgments and Valuations - Investors are misjudging AI companies as high-growth, low-asset software firms, while these companies are actually capital-intensive and highly dependent on infrastructure [7][8] - Current trading premiums for AI-focused tech stocks are 20% to 40%, reflecting unrealized future profit expectations [7] - The valuation of companies like OpenAI is inflated, with a target of $300 billion, which is significantly higher than historical valuations of similar companies [8] Group 3: Competitive Landscape and Profitability - Competition is rapidly compressing profit margins in the AI sector, with open-source models gaining market share and offering free services [9] - The true winners in the AI field will be those who can integrate AI into business processes that create lasting economic advantages, rather than those chasing high valuations [9][11] Group 4: Application vs. Development - The real value of AI lies in its application rather than the development of advanced models, as many companies mistakenly believe that foundational models will directly generate value [11][12] - Successful companies will be those that effectively integrate AI into their core operations, transforming labor-intensive services into scalable applications [12][13] Group 5: Future Directions and Strategic Planning - The future of AI will involve multi-modal systems capable of processing various types of information and simulating human cognitive processes [15][16] - Companies should focus on building infrastructure that supports multi-modal integration rather than investing in single-function solutions [16][17]

现场家长们纷纷惊叹，一是惊叹奇多多可以"看见"，二是惊叹自己也学到了新知识。 2025年9月，上海外滩大会——无界方舟正式发布国内首款搭载类OpenAI GPT-4o实时多模态大模型的 AI学伴机器人"奇多多"，以技术突破推动AI教育硬件从"玩具化"走向"功能化"。 同时，「奇多多AI学伴机」同步在京东平台进行预售，一经上线即受到热烈追捧，首发预定量超 10000 台！用多模态交互颠覆传统早教，重新定义孩子的"智能早教新时代"。 现场体验：奇多多的3大颠覆，重新定义AI早教 在奇多多 AI 学伴机的开放体验区，一场充满童趣的对话聚焦全场目光。 一个孩子拿着山楂棒棒糖提问："你知道这是什么吗？" 奇多多回答："这是棒棒糖哦，英文是lollipop，它是在1908年被发明出来的，目的是解决吃糖粘手的问 题。宝贝你知道棒棒糖为什么会越吃越小吗？" 作为专为0-10岁儿童打造的AI互动机器人，「奇多多AI学伴」凭借前沿的"多模态实时交互"技术，实现 了从冰冷"工具"到贴心"伙伴"的暖心蜕变 —— 它不只是"回答问题"，更是"引导思考"；不只是"输出内 容"，更是"传递温度"。 1. 从"给答案"到"引思考"：苏格拉底 ...

论文标题：L LaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model 在大型语言模型（LLM）的浪潮下，多模态 AI 取得了飞速发展，尤其是在视觉语言（LVLM）领域，已经形成了成熟的研究范式。然而，与之形成鲜明对比的 是，大型语音语言模型（LSLM）的发展却显得零散且步调缓慢。 该领域长期被碎片化的架构、不透明的训练数据和缺失的评估标准所困扰，导致研究之间难以进行公平比较，严重阻碍了技术的可复现性和社区的系统性进步。 许多研究虽然发布了模型权重，但其赖以成功的关键 —— 训练数据和配置细节 —— 却常常被 "雪藏" 起来。 为了打破这一僵局， 北京深度逻辑智能科技有限公司推出了 LLaSO —— 首个完全开放、端到端的语音语言模型研究框架。 LLaSO 旨在为整个社区提供一个统一、透明且可复现的基础设施，其贡献是 "全家桶" 式的，包含了一整套开源的数据、基准和模型，希望以此加速 LSLM 领域的 社区驱动式创新。 论文地址：https://arxiv.org/abs/2508.1 ...