人民网上海12月25日电 12月25日，人民网在内容科技论坛上正式启动AIGC加速营项目，并邀请内 容科技企业代表展演AIGC创新成果。 作为人民网布局内容科技的重要举措，加速营将聚焦AIGC技术在内容创作、传播、运营等环节的 创新应用，充分发挥人民网作为中央重点新闻网站的传播优势、资源整合能力和价值引领作用，同时联 合徐汇资本等投资机构和科研院校，为入营企业提供技术支撑、场景对接、资本链接、品牌推广等全方 位支持，助力企业提升核心竞争力，实现可持续发展。 人民网相关负责人表示，AIGC加速营将坚持国家战略导向与市场需求相结合，通过"政产学研 投"协同机制，汇聚产业链优质资源，搭建技术交流与合作平台，推动AIGC产业从"单点突破"走向"系 统创新"，为构建安全可控、健康繁荣的AI内容生态贡献力量。 活动上，上海星图比特信息技术服务有限公司与自由量级（上海）智能科技有限公司，分别展示了 其在人工智能内容生成、智能交互、数字媒体技术等方面的最新成果与实践案例。 星图比特创始人张炯介绍，公司依托自研多模态大模型内容解析引擎，可高效并行处理图、文、视 频、图表等PB级多类型数据，构建起覆盖直播、短视频与智能营销的AI ...

Core Viewpoint - The report "Top Ten Advances in China's Content Technology (2021-2025)" highlights significant breakthroughs in the content technology sector during the 14th Five-Year Plan period, showcasing a clear development trajectory from "tool empowerment" to "ecological reconstruction" and emphasizing the intelligent, vertical, and systematic development trends in the industry [1]. Group 1: Major Advances - The rise of domestic general models and their integration with media applications, with models like "Wenxin Yiyan" and "Tongyi Qianwen" being launched, enhancing media integration and content production capabilities [2]. - AIGC (AI-Generated Content) is driving a paradigm shift in content production, with tools like Jianying AI and Tencent Zhiying improving automation and personalization in content creation [3]. - The establishment of national key laboratories and research support since 2019 has strengthened the innovation and collaborative development in content technology [4]. Group 2: Infrastructure and Data Support - The construction of national-level corpora, such as the "Mainstream Value Corpus," is enhancing the training data quality for large models, supporting their sustainable development [5]. - Content review processes are evolving from "human-centric" to "human-machine collaboration," utilizing AI for efficient content verification and safety detection [6]. Group 3: Cultural Heritage and Cross-Industry Applications - Intelligent restoration and digital activation technologies are aiding in the preservation and innovation of cultural heritage, with advancements in image restoration and 3D reconstruction [7]. - The integration of XR, metaverse, and digital twin technologies is enhancing cross-industry content applications, creating immersive experiences in various sectors [8]. Group 4: Digital Assets and Security Challenges - The rise of digital collectibles is being explored by mainstream media, integrating with XR and metaverse scenarios to innovate user interaction and cultural dissemination [9]. - The industry is actively addressing new security challenges posed by deep fakes, with initiatives like "AI anti-counterfeiting" technology being developed to enhance content safety [10]. Group 5: Regulation and Future Outlook - A series of regulations have been established since 2021 to ensure the balanced development and application of generative AI technologies, promoting a collaborative governance framework [11]. - The report concludes that these advancements signify a new phase in content technology development, emphasizing the importance of media integration, digital culture prosperity, and governance efficiency in shaping the future landscape [11].

包括Meta研究员和伯克利教授也站台打call： 现在生成一个视频，比你刷视频还要快。 因为一个开源新框架，竟能让视频生成在保证质量的情况下，最高提速200多倍！ 而且还是单张显卡就能hold住的那种，来感受一下这个feel： 没错，原先1.3B-480P在单张RTX 5090生成一个5秒的视频，需要的时间大概是184秒。 而现在，只需要1.9秒，速度足足提升97倍！ 这背后，便是清华大学TSAIL实验室和生数科技联合开源的视频生成加速新框架——TurboDiffusion。 | 新框架一出，网友们也是不淡定了，直呼： | | --- | | 我们已经进入到了生成的视频比看的视频还多的时代。 | 2秒就能生成一个视频 过去，视频生成虽然惊艳，但慢，一直是个老大难的痛点问题。 想生成一段几秒的高质量视频，模型往往需要在大显存高端显卡上吭哧吭哧跑上几分钟到几十分钟。这种延迟，极大限制了创作者的灵感爆发和实时交互 的可能性。 TurboDiffusion的出现，就是为了解决这个问题。 咱们直接看一组数据。 在单张RTX 5090上，针对1.3B大小的文生视频模型： 1. 原始生成：生成一段480P视频需要约184秒 ...

Core Insights - The competition for AI to C has become a central battleground for internet giants, with Tencent and Alibaba making significant strategic shifts to secure their future in the face of declining mobile internet growth [1][2][4] Group 1: Strategic Shifts - Tencent and Alibaba are transitioning from a conservative approach to a proactive strategy in AI, focusing on ecosystem traffic rather than just technology reserves [2] - The timing of this shift coincides with advancements in large model technology, which has reached a stage ready for widespread application [2][11] - Alibaba faces challenges in its e-commerce dominance as Douyin's e-commerce GMV grows at a rate of 30%, necessitating a search for new growth avenues [2][12] Group 2: Competitive Landscape - Tencent's daily active users for its product Yuanbao are significantly lower at 30 million compared to Douyin's 100 million for its product Doubao, highlighting a competitive gap [7][10] - The urgency to capture the AI to C entry point stems from the need to control traffic distribution rights, which have evolved from PC to mobile internet and now to AI interfaces [7][11] Group 3: Ecosystem Development - Both companies aim to create a full-loop ecosystem from traffic to conversion, with Tencent leveraging its social platforms and Alibaba focusing on e-commerce and local services [8][12] - Tencent's Yuanbao is designed to integrate with its existing services, while Alibaba's strategy involves a dual approach with its Qianwen app and Quark browser [8][10] Group 4: Technological and Market Dynamics - The competition hinges on three critical factors: technology, application scenarios, and user perception, with each company having its strengths [11][15] - Alibaba's Tongyi Qianwen model has surpassed Meta in open-source model downloads, establishing itself as a leader in this space [11][12] - Both companies are significantly increasing their capital investments in AI, with Alibaba's AI and cloud Capex reaching 38.6 billion yuan in Q1 of FY2026, and Tencent's capital expenditure increasing by 221% year-on-year [8][11] Group 5: Future Outlook - The battle for AI to C will not only be about technology but also about how well companies can convert that technology into user value and loyalty [15] - By 2025, the AIGC market in China is expected to reach a user base of 483 million, indicating a shift from novelty to mainstream application [12][15]

北京商报讯（记者 程靓）12月25日，据北京软件和信息服务业协会消息，北京软件和信息服务业协会 AIGC工作委员会（以下简称"AIGC工委会"）日前在北京软件和信息服务业协会第十一届会员代表大会 第三次会议上正式揭牌启动。 据介绍，AIGC工委会以推动首都AIGC产业高质量发展为宗旨，以促进产业资源协同、技术创新突破和 生态体系完善为核心目标，围绕AIGC技术研发、产业应用、生态培育与标准治理等重点领域，构建协 同创新与产业赋能平台，加快培育具有国际竞争力的AIGC创新集群。 下一步，AIGC工委会将充分发挥行业组织的平台和纽带作用，推动上下游资源对接和跨领域协同创 新，加快AIGC技术赋能千行百业；在产业研究层面，将制定AIGC相关行业标准与规范，深入调研产业 上中下游企业输出产业研究成果；在落地应用层面，围绕行业共性问题和落地需求，推动核心技术攻 关，加快标杆示范场景打造；在生态建设层面，将依托建设加速孵化体系、举办品牌活动赛事，构建创 作者生态社区等路径链接技术、资本与市场资源，持续完善AIGC产业生态，提升产业活跃度和社会影 响力。 AIGC工委会目前有20+首批发起成员单位，包括阿里巴巴、艾迪普、数 ...

Core Insights - The article emphasizes the power of knowledge and the potential for individuals to excel in the technology field through access to free educational resources [2]. - It promotes a comprehensive offering of over 200 hours of free IT self-study courses covering 14 popular subjects, including AI, Java, architecture, Go, cloud-native technologies, and more [2][5]. Course Offerings - The courses are taught by industry experts, including former executives from major tech companies, providing practical insights and experiences [2]. - The curriculum is designed for various skill levels, catering to beginners, experienced programmers, and those curious about new technologies [5]. Specific Course Highlights - Courses include topics such as AIGC applications, multi-modal large model technologies, and practical applications of AI tools [9][10]. - There are specialized sessions on programming languages like Rust, Java, and Go, focusing on performance, reliability, and practical applications [18][22]. Learning Pathways - The article outlines structured learning paths for different audiences, ensuring that everyone can find suitable courses to enhance their skills and career prospects [5]. - It encourages immediate action to enroll in the limited-time offer of free courses, emphasizing the urgency and value of the opportunity [36].

Summary of the Conference Call for 瑞晟智能 Company Overview - 瑞晟智能 is collaborating closely with 木兮实验室, maintaining a stable agency relationship, and has initiated server production at the 五洛 production base [2][4] - The company has acquired a 25% stake in 五洛智慧, becoming its largest shareholder, with plans to increase ownership to 50% [2][7] Industry and Market Position - The company is actively participating in the AIGC (Artificial Intelligence Generated Content) sector, with significant developments in server production and order fulfillment [3][4] - 瑞晟智能 is focusing on vertical industries such as clothing manufacturing and smart firefighting, while also developing robotics [4][20] Key Developments - The 五洛 production base has commenced operations, with 5,000 servers already running, and is expected to achieve an annual output value exceeding 2.5 billion yuan next year [2][6] - The company is involved in establishing a national firefighting computing power laboratory, enhancing its position in the computing power business [2][4] Financial Performance and Projections - The expected total order amount for 五洛智慧 next year is no less than 5 billion yuan, with ongoing growth in new orders and fulfillment of existing ones [2][10] - The projected revenue for 瑞晟智能 in 2026 is between 1.5 billion to 2 billion yuan, with a net profit forecast of around 200 million yuan [21] Product and Technology - 瑞晟智能 and 木兮 have jointly developed the dual-precision X201 card, one of only two in the country used for training [2][12][13] - The manufacturing profit margin for the company is estimated to be between 15% and 25%, with excess profits reinvested into ecosystem development [11][18] Customer Base and Orders - The primary customers for 五洛智慧 are concentrated among the three major telecom operators and local government platform companies, responsible for computing power center construction [15] - The company has delivered 83,400 boards this year, with 80% to 90% being dual-precision X201 cards for model training [16] Strategic Initiatives - 瑞晟智能 plans to establish a GPU server production base and an integrated circuit ecosystem center in Ningbo, with a focus on supporting domestic GPU and computing power center construction [6][20] - The company is also investing in the development of industrial robots tailored for specific processes and needs within the clothing manufacturing sector [20] Conclusion - 瑞晟智能 is positioning itself as a key player in the computing power and robotics sectors, with strong growth prospects driven by strategic partnerships, technological advancements, and a robust order pipeline [2][21]

据吉视传媒（601929）官方公众号披露，旗下核心运营主体吉林省东北亚新媒体有限公司已全面承接省 内"有线电视+IPTV"一体化运营业务。公司深度践行媒体深度融合与三网融合战略，成功完成从ToB内 容供应到ToC信息服务的关键转型，为全省720万家庭电视用户提供全场景、高品质的智慧服务。 截至2025年末，吉林IPTV在网用户达475万户，活跃用户221万户，活跃率同比增长3.51%，增速持续领 先全国同业水平。有线电视用户实现止跌回升，同比增长1万户，总体用户规模持续巩固。 在夯实主业基础上，公司将创新作为核心驱动力，从内容、技术、服务三大维度发力，构建起支撑高质 量发展的完整体系。 内容创新板块聚焦吉林本土文化特色深耕，不仅联合集安文旅承办高句丽世界遗产大会并策划主题微短 剧普及世界遗产文化，还与培训机构联合制作《放学干点儿啥》少儿情景剧。同时，公司还重点布局冰 雪文化、民国风情等本土特色IP，联合龙翔集团、净月等单位筹建专业拍摄基地，引入长影等优质创作 团队，推进东北亚AI算力视听产业集群建设，计划于2026年投入AIGC算力中心，通过AI剧本生成、数 字人演员等智能工具，实现内容生产的智能化、高效化升 ...

Core Viewpoint - The article emphasizes the upcoming AI showcase titled "AI Shining China," which aims to present the latest findings in artificial intelligence and robotics, highlighting the transformative impact of AI across various sectors [2][32]. Group 1: Event Overview - The AI showcase will take place on December 28, featuring a four-hour presentation that includes performances and insights into AI advancements [3][32]. - The event is described as a blend of stunning visuals, impressive performances, and deep reflections on the future of AI [2][3]. Group 2: AI Trends and Insights - The article identifies 2023 as the "Year of AI Enlightenment" and "Year of AI Applications," noting significant changes in areas such as text writing, e-commerce, and industrial applications due to AI [2]. - Key themes for the showcase include the competition between China and the U.S. in AI, the revolution in content production through multimodal capabilities, and the emergence of AI models that are reshaping industries [6][7]. Group 3: Future Market Potential - The article suggests that robotics represents a potential market worth 10 trillion, indicating significant growth opportunities in this sector [7]. - The event will also explore the concept of "Industrial 5.0" and the end of the "traffic era" in e-commerce, signaling a shift in how businesses operate and engage with consumers [7].

Core Insights - The article discusses the rapid growth and potential of the AI short drama market, highlighting the complexities and challenges faced by creators and entrepreneurs in this space [2][25] - The event "Hangzhou AI DAY" aimed to address these challenges by providing practical insights and strategies for content creation, tool selection, and commercialization [2][3] Industry Overview - By mid-2025, over 3,000 AI short dramas are expected to be launched in China, with a monthly compound growth rate of 80% [5] - AI model iterations have transitioned from "technical demonstrations" to "product delivery," enhancing production efficiency and reducing costs significantly [5][6] - The production cycle for 100 episodes of short dramas can now be compressed to one week to one month, with diverse language outputs supported [6] Key Takeaways - **Tool Selection**: Choosing the right tools can double efficiency, with three core categories identified: - Full-process creation tools like MovieFlow enable comprehensive video generation from concept to editing [9] - Tools for overseas adaptation, such as the "影伙引擎," provide multilingual voice cloning and subtitle reconstruction [10] - Industrial production tools like Mulan allow for high-quality, scalable production by online asset management [11] - **Content Creation**: Successful strategies for female-targeted content include: - Identifying user emotions before story development to create relatable narratives [13] - Breaking down user needs into explicit and implicit categories to enhance engagement [14] - Utilizing proven narrative structures to resonate with emotional pain points [15] - Leveraging AI to generate character designs and script variations for refined storytelling [16] - **Commercialization**: Three replicable paths to monetization include: - Pre-positioning IP collaborations to integrate brand elements into narratives [18] - Multi-platform distribution and derivative product development to maximize IP value [19] - Merging advertising with short drama production to leverage brand resources for commercialization [20] Future Trends - The industry consensus points to a future where large models become essential, with a focus on narrative consistency and workflow integration as competitive advantages [22] - Creators will need to develop skills in evaluating AI-generated content and infusing emotional depth into their work [23] - Opportunities exist for small teams to focus on niche markets, such as female-oriented themes and overseas content [24]