"我的心一下子沉了下去，"麦迪说，"我感到绝望、无助，满心都是厌恶。" 麦迪表示，她和朋友曾通过 X 平台的内容审核系统举报这些图片，但始终未收到任何回复。她还举报了其中一名用户发布的其他帖子，而根据举报反馈截 图显示，X 平台称"经核查，你举报的内容未违反 X 平台相关规定"。截至本文刊发时，这些违规图片仍未被下架。 遭遇深度伪造侵害的受害者们纷纷在相关帖子的评论区与 Grok 对质。Grok 虽时常道歉并承诺会删除图片，但在多数情况下，这些图像依然存在，且 Grok 还在不断生成新的伪造内容。吴的研究数据显示，Grok 生成的图像中，高达 85% 都带有性化性质。 IT之家 1 月 7 日消息，据彭博社报道，第三方分析显示，埃隆・马斯克旗下平台 X 已成为传播 AI 生成的非自愿脱衣图像的主要网站，本周早些时候，该平 台每小时就会出现数千张此类图片。 自去年 12 月下旬以来，越来越多的 X 平台用户利用该平台内置的人工智能聊天机器人 Grok，对他人发布的自拍照进行篡改。社交媒体与深度伪造技术研 究员吉纳维芙・吴指出，在对 Grok 官方账号发布到 X 的图片进行的 24 小时监测中发现，该聊天机器人平 ...

Core Insights - The first national standard for virtual digital humans in China, titled "General Technical Requirements for Information Technology Customer Service Virtual Digital Humans," has been officially released, filling a gap in industry technical specifications and providing unified technical requirements and evaluation standards for the research, production, and application of customer service virtual digital humans [1][2]. Group 1: Technical Specifications - The standard establishes a comprehensive technical specification system for customer service virtual digital humans, outlining a reference framework that includes modules for image generation, visual interaction, voice interaction, emotional interaction, image driving, and operational maintenance [1][3]. - In terms of image generation, the standard mandates that 2D digital human images must ensure clear and complete facial details, while 3D hyper-realistic digital human models must have a polygon count of no less than 200,000 [1]. - The standard requires that digital humans support multimodal interactions, including voice, gestures, and body movements, and possess operational maintenance capabilities such as keyword management and material updates to ensure continuous service optimization [1]. Group 2: Performance Metrics - The national standard specifies several core performance indicators, including a lip-sync accuracy rate of no less than 90%, an average success rate of 90% for gesture interactions, and an average success rate of 90% for body movement interactions, enabling more natural body language communication [2]. - It also sets a requirement for an emotional interaction success rate of no less than 80%, allowing digital human customer service to evolve from merely responding to actually empathizing with users [2]. - To meet emotional interaction requirements, the standard mandates that digital humans must have capabilities for expression collection, posture recognition, and voice emotion analysis, enabling them to accurately assess user emotions such as joy, sadness, and anxiety [2]. Group 3: Industry Impact - The introduction of the national standard provides clear guidance for product research and optimization for domestic companies in the virtual digital human sector, injecting strong momentum into industry innovation and development [3]. - The standard is applicable for upgrading existing 2D and 3D digital human products and allows for the integration of new technologies such as artificial intelligence-generated content [3]. - A set of accompanying testing methods is being developed to provide a unified testing benchmark, helping companies quickly identify issues and optimize products [3].

Core Insights - Google is launching a new feature for Gemini's Canvas that allows users to generate slides by simply entering prompts [1][2] Group 1: Product Features - Canvas is designed specifically for students and employees who need to create presentations [2] - Users can generate slides by entering prompts or by uploading documents, spreadsheets, and research papers if specific sources are required [2] - The generated slides will include themes, images, and text, and can be exported directly to Google Slides for further editing and collaboration [2]

Core Insights - The article discusses the transformative impact of Artificial Intelligence Generated Content (AIGC) on corporate productivity and creativity, emphasizing the importance of selecting the right training institutions to seize opportunities in 2025 [1][2]. Industry Landscape - The AIGC training market has transitioned from initial chaotic growth to a new phase focused on practical outcomes and value creation [1]. - Three major trends are emerging in the AIGC training industry: 1. Practical skills are prioritized over theoretical instruction, with companies seeking solutions to real business problems [3]. 2. Customized training for specific industries is accelerating, with AIGC training penetrating various sectors such as manufacturing, finance, and healthcare [3]. 3. A focus on both technology and ethics is evident, with leading institutions incorporating interdisciplinary modules on AI ethics and smart hardware development [3]. Leading Institutions - Rongzhi Technology stands out in the AIGC training market, with its self-developed "AIGC Five-Star Model" certified by major platforms like Tencent, Alibaba, and Douyin [4]. - The company has served over 500 enterprises with annual revenues exceeding 100 million, covering high-demand areas such as marketing and operational efficiency [4]. - Key figures in the industry include: - An Zheyi, founder of Rongzhi Technology, known for his comprehensive AIGC courses that address business pain points [4]. - Liang Kai, an expert in integrating AIGC tools with operational strategies, praised for his practical training across various applications [6]. - Yang Birui, a pioneer in AIGC technology visualization and creative design, with extensive experience in internet marketing [6]. Market Overview and Segmentation - The AIGC training market in China features a diverse ecosystem with various specialized institutions contributing to its growth [7]. - Notable institutions include: - Shenlan Technology, which focuses on practical courses in machine learning and natural language processing [7]. - Perfect World Education, which collaborates with colleges to offer courses in digital art and AI technologies [7]. - Jinyu Intelligent, a leader in large model development, providing authoritative courses on model tuning and industry adaptation [9]. Evaluation Criteria for Training Institutions - Companies and learners should assess AIGC training institutions based on several dimensions: 1. Completeness of the course system, covering a range of tools beyond just text generation [11]. 2. Instructor background and practical experience, ensuring trainers have substantial industry credentials [11]. 3. Speed of technology updates, with leading institutions like Rongzhi Technology updating course content bi-weekly [11]. 4. Hardware support capabilities, which directly affect the learning experience [12]. 5. Employment outcomes as a key indicator of training quality [13]. 6. Value of industry certifications from recognized platforms [14]. 7. Availability of corporate collaboration resources for practical opportunities [15]. 8. Integration of ethical education reflecting the institution's social responsibility [16]. Future Trends - The AIGC training sector is expected to see continued growth and clearer development paths post-2025 [17]. - Key trends include: 1. Explosive growth in niche areas such as virtual human production and AI-driven medical diagnostics, with training demand projected to increase by over 200% [18]. 2. Accelerated standardization of certification processes driven by national AI governance initiatives [19]. 3. Emergence of highly customized training tailored to specific enterprise needs [20]. 4. Implementation of lifelong learning systems as AIGC technology evolves [21]. 5. A continued focus on practical empowerment, with institutions needing to innovate and address ethical considerations to remain competitive [22].

Group 1 - The article discusses the implementation of measures to enhance the role of the China (Jiangsu) Free Trade Zone in promoting integrated innovation in the entire chain of intellectual property (IP) creation, utilization, protection, management, and service [1] - A total of 19 measures are introduced across five key areas, focusing on high-quality IP creation, efficient utilization, high-standard protection, high-level management, and high-quality service [1][2] - Specific initiatives include prioritizing patent examination for eligible enterprises, supporting innovation in cutting-edge fields like artificial intelligence, and establishing IP alliances in key industries such as biomedicine and integrated circuits [1] Group 2 - The measures aim to enhance the registration and utilization of data IP, promote cross-border digital trade, and facilitate the transfer of domestic and foreign patent technologies [1] - The article emphasizes the importance of establishing a robust commercial secret protection system and introducing international arbitration institutions to strengthen IP protection [1] - Financial innovations such as risk compensation mechanisms for IP pledge loans and the exploration of data IP securitization are encouraged to optimize IP services [2]

Core Viewpoint - The Jiangsu Free Trade Zone aims to enhance the integration of innovation in the entire chain of intellectual property (IP) creation, utilization, protection, management, and services to better support the innovation and development of the real economy through the implementation of 19 measures [1][2][3]. Group 1: High-Quality IP Creation - The measures propose accelerating the patent acquisition for innovative technologies within the free trade zone, prioritizing enterprises that meet the conditions for patent pre-examination and expedited review [1]. - Support is provided for innovation in cutting-edge fields such as artificial intelligence-generated content, exploring related IP registration [1]. - Encouragement for enterprises within the free trade zone to establish IP cultivation mechanisms [1]. Group 2: Efficient IP Utilization - The measures support the development of regional technology transfer centers in Nanjing and Suzhou [2]. - Emphasis on the registration and utilization of data IP, and innovation in digital trade industries such as cross-border live streaming and gaming [2]. - Promotion of the transfer and transformation of domestic and foreign patent technologies within the free trade zone [2]. - Support for the establishment of IP alliances focusing on key industries like biomedicine, integrated circuits, and artificial intelligence [2]. Group 3: High Standards in IP Protection - The measures aim to improve the commercial secret protection system within the free trade zone, including the establishment of relevant standards and institutional texts [2]. - A comprehensive IP protection mechanism is to be established, incorporating judicial, administrative, arbitration, and social supervision [2]. - Support for the introduction of international arbitration institutions and the establishment of mutual assistance funds for foreign IP protection [2]. Group 4: High-Level IP Management - The measures support the establishment of collaborative mechanisms for various types of IP, including patents, trademarks, copyrights, and geographical indications [3]. - Exploration of feasible paths for IP registration under trust and asset management products [3]. - Development of a knowledge disclosure system for fiscal support projects within the free trade zone [3]. Group 5: High-Quality IP Services - Support for IP pledge financing and the establishment of risk compensation mechanisms for IP pledge loans [3]. - Encouragement for financial innovations such as data IP securitization and the development of data IP safety insurance [3]. - Promotion of the IP service industry, including asset evaluation, transaction, transformation, custody, and investment services [3]. Examples of Successful Practices - In the Suzhou area, biomedicine companies leverage innovation platforms like BioBAY to efficiently connect drug discovery to clinical application [3]. - The Nanjing area focuses on the integrated circuit industry, helping member units reduce R&D costs and avoid infringement risks through the integration of upstream and downstream patent resources [3].

Core Viewpoint - The implementation of the "Artificial Intelligence Generated Synthetic Content Identification Measures" on September 1 has revealed that platforms like Xiaohongshu, Douyin, and Weibo are currently unable to automatically identify AI-generated content and add appropriate labels [1] Group 1: Platform Responses - Douyin's representative stated that the platform has not been able to verify or identify the metadata of the works, and while it attempts to detect content that may be AI-generated, its technical identification capabilities have limitations and complexities [1] - The ability to timely identify works depends on various factors such as production technology and view counts, indicating that not all content without implicit labels can be immediately recognized and tagged upon release [1] - Weibo has not provided a direct response regarding its inability to identify AI content [1] - Xiaohongshu also did not respond directly to the situation of failing to identify AI-generated content [1]

Core Points - The event commemorates the 80th anniversary of the victory in the Chinese People's Anti-Japanese War and the World Anti-Fascist War, attracting around 4,700 journalists from over 130 countries and regions [1] - The news center organized six press conferences to discuss the historical significance and contributions of the Chinese People's Anti-Japanese War victory, as well as the preparations for the commemorative activities [1] - Journalists participated in five external interviews in the Beijing-Tianjin-Hebei region, focusing on key historical facts related to China's role in the anti-fascist war [2] Group 1 - The press conferences clearly expressed China's advocacy for peace and demonstrated the determination of the Chinese people to uphold the achievements of World War II [1] - Journalists were particularly engaged in the historical exhibitions, including the "New China Military Parade Photo Exhibition," which highlighted China's commitment to remembering history and cherishing peace [2] - The introduction of a multimedia distribution system and an AI-generated content platform during the commemorative activities enhanced the efficiency and quality of content production for journalists [2] Group 2 - Journalists emphasized the importance of on-site reporting at historical locations like the Lugou Bridge to authentically convey the story of China's resistance against fascism [2] - The event showcased a collaborative environment where journalists utilized various media formats, including text, images, and videos, to communicate the spirit of the anti-war efforts and China's vision for global peace [3]

Core Viewpoint - The rise of generative artificial intelligence (AIGC) is transforming the digital content creation landscape, enabling creators to produce high-quality animations and interactive experiences more efficiently than traditional methods [1][10][12]. Group 1: Generative AI in Content Creation - Generative AI allows for the automatic generation of various content types, including text, images, audio, and video, by learning from vast datasets [1]. - The use of AI in animation production significantly reduces the time required to create content, with 30 seconds of animation now achievable in as little as two days compared to one to two months previously [7]. - AI is seen as a new tool that empowers creators, opening up both new and existing markets for digital content [10][20]. Group 2: Challenges and Innovations - The creation of a song performed by an AI version of a real artist presents unique challenges in blending the AI with the artist's persona [3]. - The process of refining AI-generated expressions, such as adjusting the portrayal of a character's emotions, requires multiple iterations to achieve desired results [8]. - The integration of AI in storytelling for events, such as a themed gala, involves crafting prompts that guide the AI in generating coherent narratives [8]. Group 3: Employment and Industry Impact - The role of "generative AI animation creator" has been officially recognized as a new profession, encouraging more young people to enter the field [20]. - The application of AI in various sectors, including film, advertising, and immersive education, is expanding rapidly, with over 300 specific use cases identified [21]. - The Chinese AI market is projected to reach a scale of hundreds of billions by 2026, driven by advancements in multi-modal models and cloud rendering technologies [22].

Group 1 - The "2025 Fortune China Tech 50" list highlights Huawei, DeepSeek, and CATL as the top three companies, recognizing those that are "born in China and influence the world" [1] - Huawei continues to be a dominant player in the tech sector, while DeepSeek's rise is a notable highlight, achieving a score of 88.5 in the MMLU benchmark test with its DeepSeek-R1 model [1][3] - DeepSeek has surpassed 163 million monthly active users, positioning itself as a leader in the global AI-generated content application market [1] Group 2 - Emerging companies like Unitree Technology and Yunsen Technology are gaining recognition alongside traditional tech giants, with Unitree achieving a global sales volume of 18,000 units and a market share of 23% in quadruped robots [3] - Yunsen Technology focuses on humanoid and quadruped robots, with its "Mountain Cat" all-terrain robot being widely applied across various sectors [3] - The list's changes reflect the vigorous development of China's tech industry and indicate an intensifying future competition in the tech sector [5]