（文章来源：证券日报） 证券日报网12月24日讯 ，云天励飞在接受投资者提问时表示，深圳市噜咔博士科技有限公司，是云天 励飞公司全资子公司。自有品牌"噜咔博士"于2024年底发布首款产品噜咔博士AI拍学机，搭载自研 的"云天天书"多模态大模型。AI拍学机融合多模态识别技术，实现"拍摄-识别-科普"闭环，针对儿童群 体提供场景化知识交互。AI拍学机发布后斩获"2025德国红点设计奖""文博会礼物""深圳手信"等多个奖 项。2025年10月下旬，依托大模型IFMind和自主研发的嵌入式声纹模型，"噜咔博士"又发布了第二款产 品：AI宠物狗，通过多模态视觉识别技术模拟真实喂养场景，培养儿童责任感。目前，该产品已在多 个网上平台上线销售。未来，公司消费级场景将采取多维增长战略：推进"噜咔博士"品牌IP化，搭建全 渠道营销体系并强化用户共创与品牌传播；以大模型等核心技术赋能AI眼镜等消费电子产品，推出智 能设备新品类，探索"硬件+订阅内容/服务"模式，同时深化技术迭代与成本优化构建竞争壁垒。此外， 还计划拓展海外市场，开发多语言版本产品及服务。 ...

Core Insights - The article discusses the ongoing transformation in the AI industry, highlighting the shift from training to inference as a pivotal moment for the sector, with 2025 anticipated as a year of significant AI application growth [2][3]. Industry Overview - The AI industry is evolving through three distinct phases: 1. The "Intelligent Perception" era (2012-2020), characterized by fragmented solutions driven by small models [3]. 2. The "AIGC" era (2020-2025), where large models demonstrate impressive content generation capabilities but struggle to find profitable business models [3]. 3. The upcoming "Agentic AI" era, where intelligent agents will integrate large models, operating systems, and hardware to perform complex tasks independently, marking a true industrial revolution [3][4]. Market Dynamics - The transition to inference-focused computing is seen as a fundamental shift, requiring a focus on cost-effectiveness and market economics rather than just performance [3][4]. - The emergence of dedicated inference chips is expected to disrupt Nvidia's dominance established during the training era, as companies like Google and Broadcom pivot towards specialized inference solutions [5][6]. Opportunities for China - China is positioned to capitalize on the inference chip market, as it faces fewer barriers compared to the training sector, where it lags behind Nvidia due to advanced process limitations and high CUDA ecosystem barriers [5][6]. - The rise of inference chips is viewed as a significant opportunity for China's technological resurgence, aligning with its strengths in providing high-cost performance products [5][6]. Technological Innovations - The introduction of the GPNPU architecture aims to address the unique demands of inference tasks, optimizing performance, storage bandwidth, and capacity while reducing costs [6]. - The goal is to lower the total cost of ownership (TCO) for users by enhancing energy efficiency and minimizing operational costs through innovative chip technologies [6]. Future Projections - The demand for inference computing is expected to surge, with projections indicating that the daily token processing volume could reach 100 trillion by mid-next year, necessitating significant infrastructure investments [7]. - Companies are urged to reduce the comprehensive cost of processing "million tokens" to one cent, which will require architectural and technological innovations [7].

Core Insights - The article highlights the active performance of the AI-focused ETF (589520) amid market fluctuations, indicating strong investor confidence in the domestic AI industry chain [1] - The ByteDance Volcano Engine FORCE conference is set to unveil new AI models and tools, emphasizing advancements in video generation and the expansion of the AI application ecosystem [3] - The current strategic "golden window period" for AI innovation is driven by policy support, strong earnings validation, external pressures for self-sufficiency, and significant potential for domestic AI applications to catch up with international counterparts [6] Group 1: ETF Performance and Market Sentiment - The AI-focused ETF (589520) has seen a net inflow of 13.46 million yuan over the past three days, reflecting positive market sentiment towards the domestic AI industry [1] - Key stocks within the ETF, such as Zhongke Xingtu and Xinghuan Technology, have shown significant gains, with increases of over 11% and 7% respectively [1] Group 2: Industry Developments and Innovations - The FORCE conference will introduce new members to the Doubao model, aiming for performance enhancements and cost reductions, particularly in video generation [3] - The focus on upgrading Agent development tools and expanding the Agent ecosystem is expected to facilitate the practical application of AI in business settings [3] Group 3: Strategic Importance of AI - The new five-year plan emphasizes "technological self-reliance," providing robust support for AI and domestic alternatives [6] - As of Q3 2025, 20 out of 30 companies in the ETF's portfolio reported profitability, with 22 showing year-on-year net profit growth, indicating strong industry performance [6] - The need for self-sufficiency in AI technology is underscored by geopolitical tensions, making domestic AI development crucial [6] Group 4: Investment Opportunities - The AI application sector is seen as having significant room for growth compared to its international counterparts, suggesting a potential for price corrections and increased investment attractiveness [6] - The ETF's index includes a substantial proportion of AI application stocks, with a weight of 30.94% in AI applications and 33.66% in the ByteDance industry chain as of the end of November [5]

Group 1 - The company primarily focuses on domestic business, with a small proportion of overseas operations [2] - In 2024, the company will officially launch its consumer-grade business strategy, investing in the development of AI hardware products such as AI learning machines and AI plush toys [2] - The company plans to introduce multiple consumer-grade products and initiate the "Luka Doctor" brand IP operation to expand into overseas markets, developing multilingual versions of its products for these markets [2]

Group 1 - The core viewpoint of the news is that Yuntian Lifei's stock has shown significant volatility, with a year-to-date increase of 43.49% but a recent decline in the last five days [1] - As of December 22, Yuntian Lifei's stock price is 71.17 yuan per share, with a total market capitalization of 25.538 billion yuan [1] - The company has experienced a net outflow of main funds amounting to 6.7805 million yuan, with large orders showing a buy of 48.2617 million yuan and a sell of 59.4434 million yuan [1] Group 2 - Yuntian Lifei, established on August 27, 2014, specializes in artificial intelligence algorithms and chip technology, with its main business revenue composition being 44.22% from consumer-level applications, 27.66% from industry-level applications, and 27.10% from enterprise-level applications [2] - The company was listed on April 4, 2023, and is categorized under the computer-IT services sector, with concepts including AI toys, neural networks, cloud computing, SOC chips, and edge computing [2] - As of September 30, 2025, Yuntian Lifei reported a revenue of 0.951 billion yuan, a year-on-year increase of 96.85%, while the net profit attributable to shareholders was -0.298 billion yuan, reflecting a year-on-year growth of 29.95% [2] Group 3 - As of September 30, 2025, the top ten circulating shareholders of Yuntian Lifei include Huaxia CSI Robot ETF as the third-largest shareholder, increasing its holdings by 1.279 million shares [3] - Hong Kong Central Clearing Limited is a new shareholder, holding 2.9903 million shares, ranking as the ninth-largest shareholder [3] - Bosera SSE STAR Market Artificial Intelligence ETF is the tenth-largest shareholder, increasing its holdings by 0.4227 million shares [3]

Core Insights - The article discusses the shift in AI from training to inference, highlighting that inference is now surpassing training in terms of power consumption and importance in the industry [22][24]. - The focus is on the evolution of AI technology, particularly in China, where companies like Yuntian Lifei are building their own AI technology systems by investing in both algorithms and chips [5][6]. Group 1: AI Industry Evolution - The AI industry has undergone significant changes since 2014, with a notable acceleration in the pace of technological development, particularly with the advent of large models [18][20]. - The demand for inference capabilities has increased dramatically, with a reported growth of nearly 100 times from last year to this year [8][28]. - By the end of 2024, it is expected that domestic AI chips will account for over 50% of the AI chip market in China, surpassing non-domestic high-end GPUs [28][24]. Group 2: Yuntian Lifei's Strategy - Yuntian Lifei has adopted a dual approach of focusing on both algorithms and chips, which has allowed the company to navigate the complexities of the AI landscape effectively [5][6]. - The company emphasizes the importance of integrating into existing ecosystems, particularly the CUDA ecosystem, to reduce adaptation costs for clients [8][9]. - Yuntian Lifei aims to enhance its core capabilities in inference, ensuring that its technology is both reusable and deliverable, thereby providing clear value to customers [13][31]. Group 3: Challenges and Opportunities - The primary challenge facing AI inference is the cost, as companies strive to make AI more precise while managing expenses [11][12]. - The article highlights the need for a robust ecosystem that supports the integration of various technologies, including the development of standards and protocols for AI chips [12][30]. - The future of AI infrastructure is expected to move towards heterogeneity and high cost-effectiveness, addressing the performance-cost-accuracy trade-off [39][41].

Core Insights - The recent winning bid of 122 million yuan for the Longgang AI Phase I project highlights the strategic importance of integrating urban governance intelligent systems and robotic command platforms, which can create a sustainable operational framework for high-frequency, real-time edge reasoning needs [1][2] - The project signifies a shift from pilot demonstrations to a scalable, replicable model, allowing the company to address common urban governance challenges through standardized protocols and operational frameworks [2][3] - The focus on cost efficiency and controllable delivery in real-world systems positions the company favorably for long-term success in the competitive AI chip market [3] Company Strengths - The company emphasizes its self-developed NPU reasoning chips and toolchains, aiming to enhance efficiency and control in edge computing [2] - The project allows for the tangible manifestation of demand for AI chips, as it directly relates to operational metrics such as power consumption, latency, stability, and maintenance costs [2] - By creating a reusable product framework, the company can transform its chip and toolchain value into a default option for expanding applications across multiple cities [2] Industry Context - The significance of the Longgang project lies not in its district-level scale but in its ability to demonstrate the company's commitment to solving real cost and efficiency issues in operational systems [3] - As the industry matures, the competition will increasingly focus on unit costs and controllable delivery, which are critical for long-term viability [3]

Core Viewpoint - Yuntian Lifei (688343.SH) reported significant revenue growth for the first three quarters of 2025, with a revenue of 9.51 billion yuan, marking a year-on-year increase of 96.85%. However, the company continues to face net losses, although the losses have decreased compared to the previous year [1][4]. Financial Performance - For the period of January to September 2025, the company achieved an operating revenue of 9.51 billion yuan, which is a 96.85% increase compared to the same period last year [1]. - The net profit attributable to shareholders was -2.98 billion yuan, an improvement from -4.25 billion yuan in the same period last year [1]. - The net profit attributable to shareholders after deducting non-recurring gains and losses was -3.41 billion yuan, compared to -5.00 billion yuan in the previous year [1]. - The net cash flow from operating activities was 1.95 billion yuan [1]. Historical Performance - From 2017 to 2024, the net profit attributable to shareholders has shown a trend of increasing losses, with figures of -54.64 million yuan in 2017, -1.95 billion yuan in 2018, and reaching -5.79 billion yuan in 2024 [4]. - The net profit after deducting non-recurring gains and losses has also increased from -64.56 million yuan in 2017 to -6.84 billion yuan in 2024 [4]. Stock Market Activity - Yuntian Lifei was listed on the Shanghai Stock Exchange's Sci-Tech Innovation Board on April 4, 2023, with an initial public offering of 88.78 million shares at a price of 43.92 yuan per share [3]. - The company raised a total of 389.94 million yuan, with a net amount of 358.35 million yuan after deducting issuance costs, exceeding the original fundraising plan by 58.35 million yuan [3].

Group 1 - Quark AI glasses have added a new assembly line at Luxshare factory, with production capacity expected to be released gradually starting next week, aiming for full capacity by January to meet the Spring Festival consumption peak [1] - In November, Quark AI glasses officially launched two series, S1 and G1, comprising a total of six products [1] - The CSI Artificial Intelligence Industry Index (931071) rose by 0.88% as of December 12, 2025, with notable increases in component stocks such as Chipone Technology (688521) up 5.61% and Yuntian Lifei (688343) up 5.52% [1] Group 2 - Current policies are generally favorable, with significant support from the financial sector stabilizing market trends, and the political bureau meeting setting a positive tone for next year's economic work, leading to a notable recovery in market risk appetite [2] - The AI industry shows high certainty in its current prosperity, driven by sustained overseas computing power chain demand and advancements in domestic computing power chip performance expected next year [2] - The application side is accelerating, with innovations like Doubao mobile assistant transitioning AI from a "tool" to an "ecosystem entry point," reflecting trends in AI agents, multi-modal technology, and ecosystem collaboration [2] Group 3 - Huafu Artificial Intelligence ETF (515980) provides balanced coverage across all segments of the AI industry, allowing for easy investment in AI [3] - The ETF tracks the only quarterly rebalancing artificial intelligence index in the market, ensuring high-frequency tracking of industry developments [3] - Investors without stock accounts can opt for Huafu Artificial Intelligence ETF linked funds (Class A 008020, Class C 008021) [3]

Core Viewpoint - The A-share market experienced a pullback on December 11, with the Shanghai Composite Index showing weakness for three consecutive days. Despite this, the Robot ETF Fund (159213) saw a net subscription of 3 million shares, indicating a capital inflow of over 3.4 million yuan [1]. Group 1: Market Performance - The Robot ETF Fund (159213) closed down by 1.79%, ending its three-day upward trend. The majority of its constituent stocks also experienced declines, with notable drops including Yuntian Lifei down over 3%, and Stone Technology and Zhongkong Technology down over 2% [1][3]. - The top ten constituent stocks of the Robot ETF Fund showed negative performance, with declines ranging from -0.59% to -3.62% across various sectors, including machinery and computer technology [4]. Group 2: Industry Developments - On December 11, the Beijing Humanoid Robot Innovation Center announced the launch of the first fully autonomous humanoid robot tour guide solution in China, which integrates various advanced capabilities for diverse applications [5]. - TrendForce's report indicated that 2026 will be a pivotal year for the commercialization of humanoid robots, with expected shipments exceeding 50,000 units, representing a year-on-year increase of over 700% [5]. Group 3: Investment Recommendations - Huolong Securities suggested that the humanoid robot sector is entering a critical phase of mass production, recommending active investment in this area. The report highlighted the strengthening logic of the robotics industry, with significant developments from both international and domestic players [6]. - Open Source Securities projected that 2026 will see a surge in the humanoid robot market, driven by major companies entering the field and supportive policies, indicating a favorable investment window [7]. Group 4: Supply Chain and Policy Insights - Tesla's supply chain is becoming clearer, with plans for standardization and mass production of its robots by 2026. This includes a timeline for production milestones and supplier confirmations [8]. - Domestic policies are also fostering rapid advancements in the humanoid robot sector, with significant investments from companies like Xiaomi and Yushun, as well as the establishment of new companies focused on humanoid robot technology [9].