人民日报北京9月25日电 在中央网信办网络传播局、北京市委宣传部指导下，9月25日，"何以中国·理想 都城"网络主题宣传活动在北京启动。 活动现场，北京市考古研究院、北京市园林绿化局分别发布了北京最新考古成果和金秋时节北京的生态 文化活动，中央重点新闻网站、商业网络平台等发布重点网络宣传项目。 本次活动由北京市委网信办、北京市文化和旅游局、北京市文物局、人民网主办，北京市科委中关村管 委会、北京市园林绿化局、北京广播电视台、北京市东城区委区政府协办，人民视频、人民科技承办， 中国互联网发展基金会、北京宣传文化引导基金理事会、吉祥大戏院共同支持。（人民网记者董兆瑞 李世奇） 启动仪式邀请专家学者、文化名人、青年榜样、长城保护员、文旅博主等，通过AI视频、微戏剧、情 景讲述、众筹纪录片等方式，生动呈现北京源远流长的古都文化、丰富厚重的红色文化、特色鲜明的京 味文化和蓬勃兴起的创新文化。 ...

Meta推出与AI视频相关的Vibes。 风险提示及免责条款 市场有风险，投资需谨慎。本文不构成个人投资建议，也未考虑到个别用户特殊的投资目标、财务状况或需要。用户应考虑本文中的任何 意见、观点或结论是否符合其特定状况。据此投资，责任自负。 ...

Core Viewpoint - The article discusses the advancements in AI video generation, particularly focusing on the World Forge framework developed by the West Lake University AGI Lab, which allows for precise control over video generation without sacrificing quality or requiring retraining of models [2][3][32]. Summary by Sections Introduction to AI Video Generation - Since the introduction of Sora, the realism of AI-generated videos has significantly improved, but controllability remains a challenge [2]. - Current methods either require expensive fine-tuning or lead to quality degradation due to noise and artifacts in guiding signals [2]. World Forge Framework - World Forge is a new framework that enables precise control during the video generation process without modifying model weights, effectively adding a "director's brain" to video diffusion models [3][32]. - The framework allows for the generation of 360° videos from a single image and the ability to reframe videos with complex camera movements [6][21]. Method Overview - The framework operates on a training-free guidance principle, injecting "spatiotemporal geometry" during inference [12]. - It employs a series of innovative guiding modules to ensure that the model adheres to spatial and temporal consistency while maintaining creative freedom [13]. Key Innovations 1. **Intra-step Recursive Refinement (IRR)**: This mechanism ensures that AI-generated movements strictly follow predefined camera trajectories by incrementally correcting predictions with real content [15]. 2. **Flow-Gated Latent Fusion (FLF)**: This module separates motion and appearance channels in the latent space, allowing precise control signals to be sent only to motion channels, preserving detail in appearance channels [16]. 3. **Dual-Path Self-Correction Guidance (DSG)**: This strategy balances trajectory accuracy and image quality by dynamically adjusting the guiding signals based on the differences between guided and non-guided paths [17]. Performance Highlights - World Forge excels in generating 360° panoramic views from a single image, overcoming limitations of traditional panorama methods [21]. - It allows for cinematic-level video reframing, enabling users to specify complex camera movements while maintaining stability and reducing artifacts [23]. - The framework supports video editing capabilities, such as stabilizing footage, removing unwanted objects, and seamlessly integrating new elements [29]. Advantages of World Forge - The training-free nature of World Forge significantly lowers the barrier to creating high-quality 3D/4D visual content, making it accessible for various applications in film, gaming, and digital twin technologies [32][34]. - Its flexibility allows it to be integrated into various mainstream video models without the need for targeted retraining, showcasing strong generalization capabilities across different domains [34].

在多模态技术迅猛发展的2025年，AI视频应用正在迎来前所未有的爆发。过去两年，从Sora到可灵AI，AI视频技术已完成三大进化：理解物理规律、实现连续叙事、成本大幅降低。本期视频我们通过与Freepik CEO及Fal.ai CTO的对谈，深度剖析了AI视频如何在广告、影视、电商等行业中落地生根，甚至重构全球供应链生态。但这并非终点，AI创作“缺乏灵魂”的质疑仍然存在，如何才能让AI生成的内容打动人心？数据与算法的迭代能否真正激发人类想象？在人机共创时代，谁将主导下一个故事革命？#101weekly 时间轴： 00:00 - 00:43 AI视频商业化进一步加速：技术与想象力的碰撞点燃新纪元 00:43 - 01:20 视频模型的三大进化：“数字木偶”到“导演意识” 01:20 - 03:20 第一重进化：从“识别物体”到“读懂物理规律” 03:20 - 06:12 第二重进化：从“单帧插画”到“连续剧级叙事” 06:12 - 08:10 第三重进化：从“成本高昂”到“成本可控” 08:10 - 12:02 B端爆发：藏在产业深处的金矿 12:02 - 17:20 全球争霸：AI视频的供应链生态 17:20 ...

Core Viewpoint - The article discusses the advancements in AI video generation, particularly focusing on the new features of the 可灵 2.1 version, which includes the ability to use "head and tail frames" for enhanced video effects and storytelling [5][10][40]. Group 1: AI Video Generation Features - The 可灵 2.1 version introduces the head and tail frame functionality, allowing users to set precise starting and ending points for video generation, enhancing control over the visual style and narrative [5][10][11]. - The comparison between 可灵 1.6 and 2.1 shows significant improvements in motion dynamics and visual quality, with the latter providing a more fluid and impactful video experience [7][9][40]. - The article highlights the importance of head and tail frames in storytelling, enabling the creation of emotional narratives through visual cues [11][12][14]. Group 2: Applications and Creative Possibilities - The head and tail frame feature can be applied to various video types, from cinematic productions to simple effects that everyday users can create [18][19]. - Examples of creative uses include transforming ordinary scenes into visually stunning transitions, such as a car morphing into a transformer or a sketch evolving into a skyscraper [21][27][29]. - The article emphasizes that the potential of 可灵 2.1 lies in the user's imagination, as the technology simplifies the process of creating complex visual effects [19][37]. Group 3: Technical Insights and Tips - For optimal results, the article suggests that the motion in head and tail frames should be dynamic and engaging, enhancing the overall impact of the video [38][40]. - The AI's ability to maintain consistency and stability in video generation is highlighted as a key factor in achieving high-quality outputs [44]. - Users are encouraged to experiment with the technology, as it bridges the gap between imagination and reality in video creation [44].

Core Insights - The article discusses an upcoming online event focused on AI video technology, featuring industry experts sharing their practical experiences and insights on models, products, and growth strategies in the AI video sector [10]. Group 1: Event Overview - The online event will take place on August 16, from 10:30 AM to 12:30 PM, and will be hosted on Tencent Meeting [7][8]. - The event is limited to 100 participants, with a preference for attendees who provide thoughtful responses and have relevant backgrounds [10]. Group 2: Guest Speakers and Topics - Guest speaker Dai Gaole, Lead of Luma AI model products, will discuss the technical paths and future capabilities of video models and world models [2]. - Guest speaker Xie Xuzhang, co-founder of Aishi Technology, will share key decisions that led to Pixverse achieving 60 million users in two years, including the evolution of visual models [3][4]. - Guest speaker Xie Juntao, former growth product lead at OpusClip, will focus on customer acquisition, conversion strategies, user retention, and data-driven decision-making in video creation products [5].

2)以快手可灵为代表的视频生成产品在推理层面实现毛利打平，以及阿里Wan2.2的MoE架构可实现同参 数下节省50%计算消耗，该行判断"更好更便宜"将持续演绎，技术侧持续探索成本优化带动用户使用成 本降低，提升用户渗透率。技术侧如快手可灵表示通过技术迭代，可实现可灵推理成本进一步下降;阿 里Wan2.2的MoE架构下，一个高噪声专家负责整体布局，一个低噪声专家精调细节，同参数下可节省 50%计算消耗。若行业普遍采取这一技术架构，整体成本有望降低，带动用户使用成本降低，提升用户 渗透率。此外在商业模式上，快手可灵已在推理层面实现边际利润打正。 3)以AI漫剧直接生成、AI转绘等为代表的动漫内容新形态出现，带动整体内容市场扩容。中文在线表示 AI漫剧直接生成流程中，AI参与度从24年的约50%提升到目前的近80%。AI转绘漫剧，则是利用AI技术 对真人实拍短剧进行再创作生成，在全球发行层面都更具普适性，其中真人实拍阶段也可部分被AI视 频工具替代。该行认为新内容业态的成熟将带动内容市场扩容，AI视频可触及的规模有望扩大。 跟踪近期主要AI视频厂商的动态，该行对产业的发展更加乐观，该行判断产业发展趋势或超预期，基 ...

Core Viewpoint - The viral "bouncing rabbits" video on TikTok, which garnered 500 million views, is revealed to be AI-generated rather than real, highlighting the evolving nature of AI technology and its impact on social media engagement [1][10][29] Group 1: Video Characteristics - The video appears to be captured by a home security camera, featuring a dimly lit and blurry aesthetic that effectively conceals the flaws of AI-generated content [2][5][17] - The title of the video cleverly references the home security brand "Ring," enhancing its perceived authenticity and making it seem like a genuine life recording [4][23] - The background of the video is static, which helps avoid common issues with AI-generated backgrounds, allowing the video to maintain a semblance of realism [21][22] Group 2: Audience Reaction - Many viewers expressed feelings of being deceived after discovering the truth about the video, indicating a psychological engagement with the content that goes beyond mere consumption [35][36] - The comments section reveals a pattern of reactions, from initial delight to realization of deception, showcasing a collective experience among viewers [38][42] - The phenomenon reflects a new interactive logic with AI videos, where viewers are aware of the potential for deception but still engage with the content as a form of entertainment [43][46] Group 3: Implications for AI Technology - The rapid advancements in AI video generation technology, as noted by Elon Musk, suggest that future AI-generated content may become increasingly difficult to distinguish from reality [30][32] - The incident raises questions about the nature of trust and belief in digital content, emphasizing the need for viewers to critically assess the intent behind the information they consume [54][55] - The collective experience of being "fooled" by the video fosters a sense of community among viewers, highlighting the social dynamics at play in the consumption of digital media [52][53]

Core Viewpoint - The advertising and e-commerce industry faces increasing budget constraints and fleeting consumer attention, making content marketing crucial. AI video technology presents opportunities for cost reduction and efficiency, but issues like "face-swapping" and "product distortion" hinder widespread adoption [1][5]. Group 1: Vidu Q1 Launch and Features - Shengshu Technology announced the launch of Vidu Q1, featuring reference video capabilities that have quickly attracted numerous new clients in the advertising and e-commerce sectors, validating the model's high-quality output and ease of use [1]. - Vidu serves as a new production engine for video advertising, enhancing efficiency and presenting a commercial potential exceeding trillions [4]. - The Vidu Q1 reference video achieves "1080P+ ultra-high consistency," addressing the industry's need for precision in AI-generated product videos, which is critical for maintaining brand reputation [5]. Group 2: Technical Innovations and Benefits - Vidu Q1 allows for multi-subject input, enabling brands to showcase various products in a cohesive manner, thus enhancing the shopping experience and promoting multi-category sales [9]. - The technology enables seamless scene changes, allowing e-commerce clients to create diverse product showcase videos without incurring high setup costs, thereby improving product sales and brand differentiation [16][20]. - Vidu Q1 overcomes previous technical limitations by enabling realistic interactions between digital models and products, enhancing the credibility of advertisements [18]. Group 3: Market Adaptability and Efficiency - The rapid pace of consumer trends necessitates quick adaptation in marketing strategies, and Vidu Q1 streamlines the content production process, significantly reducing the time required to generate promotional materials [21][23]. - The platform can drastically cut down the production time for marketing materials from weeks to just hours, allowing brands to quickly respond to market demands and test new products [26]. - Vidu Q1 empowers advertising agencies to produce a high volume of creative variations rapidly, alleviating the pressure of client demands and allowing for a focus on creativity [27]. Group 4: Client Engagement and Market Reach - Shengshu Technology has served over 3,000 clients, indicating strong market engagement and the potential for further commercial exploration through AI video models [28].

Core Insights - The article discusses a "low-cost dividend" opportunity in the AI video sector, highlighting a potential arbitrage project that leverages bulk purchasing discounts from a specific AI service provider [1][14]. Group 1: Market Opportunity - The AI video market is experiencing significant demand, with many users seeking cost-effective solutions [9]. - A specific AI service, 可灵, offers bulk purchasing options that can reduce costs by up to 50% for large orders, creating a potential profit margin for resellers [5][6]. Group 2: Business Model - The proposed business model involves purchasing gift cards in bulk at a discounted rate and reselling them at a markup, with potential profits estimated at 15% to 20% [6][14]. - The strategy includes utilizing online platforms like闲鱼 and 淘宝 for sales, as well as building private traffic channels to enhance conversion rates [8]. Group 3: Challenges and Considerations - The initial investment requirement of at least 100,000 yuan poses a barrier for novice entrepreneurs, indicating that this opportunity is more suited for those with existing capital [9]. - The resale of gift cards must be executed within a year due to expiration, necessitating effective sales strategies and quick turnover [11]. - Competition is noted to be fragmented, suggesting that consolidating a stable low-cost supply could provide a competitive edge in pricing [13].