近期，关于抖音AI运动美女账号的讨论热度很高，很多人都对这个新兴领域感到好奇。这个方向真的能快速涨粉吗？新手操作难度大不大？今天，我将 以问答（Q&A）的形式，彻底打消你的所有疑虑，把这个项目的操作细节一次性讲清楚。 相信不少人和我一样，在寻找副业的过程中吃过亏、被割过韭菜，甚至花了不少冤枉钱。如今我找项目，基本都从"顺为网创"公众号获取，那里的教程详 细，实操性强。只要愿意动手，一个月多赚个五六千是完全可以实现的。 Q1：这种AI账号真的像传说中那样涨粉快吗？ A：是的，目前确实处在红利期。举个例子，有个对标账号，内容全是AI生成的虚拟美女运动日常，并非真人。仅仅发布了64条作品，粉丝数量就达到了 4.5万。这足以证明其涨粉效率。 Q2：我完全不会画画，怎么制作原创的AI图片来避免搬运？ A：完全不需要绘画基础。解决方法很简单：首先，找一个你认为会火的视频，截取一张图。然后，将这张截图上传到名为"星流"的AI工具中，输入你想 要的风格描述（即提示词），AI就能生成一张构图相似但风格全新的图片，原创问题就解决了。 Q3：如何保证AI生成的虚拟人物，每张图都是同一张脸？ A：这是一个核心问题，因为统一的形象才能 ...

明敏 发自 凹非寺 量子位 | 公众号 QbitAI 华为云算力再迎重大突破！ 刚刚落幕的华为全联接大会2025，一系列新进展发布—— 这距离CloudMatrix384超节点2025年4月正式发布仅半年，期间其 能力持续进化 ： 现阶段， AI行业内依旧被算力焦虑笼罩 。硅谷大厂近期在算力、芯片领域动作频频： OpenAI一边和博通自研AI芯片，一边向甲骨文抛出3000亿美元买算力；马斯克百天建成万卡超算集群，还计划向百万卡规模冲击，同时悄悄 布局芯片；Meta、AWS等企业也在积极获取更多算力资源……但算力的发展并非一蹴而就，它需要在单点技术上极致突破，还涉及芯片、硬 件、架构、软件、网络、能源乃至整个产业生态的协同演进。 放眼全球，能够输出澎湃算力的供应商，都离不开十数年、数十年的沉淀积累。 华为云作为其中一员，探索路径因所处产业阶段而显得尤为深刻：不仅需要在技术"无人区"重新定义算力运行规则；还需把握AI发展时机，通 过快速迭代响应产业海量需求。一步步成长为今天的"算力黑土地"。 AI算力云服务升级， 基于华为云刚刚发布的最新AI服务器规划， CloudMatrix的云上超节点规格将从384卡升级到未 ...

Core Viewpoint - The company has made significant progress in the "AI + Security" sector, showcasing its strategic layout and innovative achievements during the investor meeting on September 11, 2025 [1] Financial Performance - In the first half of 2025, the company achieved operating revenue of 3.827 billion yuan, a year-on-year increase of 3.67% [1] - The net profit attributable to shareholders was -282 million yuan, a reduction in loss by 59 million yuan compared to the previous year, indicating an improving operational trend [1] - Research and development expenses reached 1.565 billion yuan, accounting for 40.89% of operating revenue, reflecting a strong commitment to technological innovation [1] AI Developments - The company has made breakthroughs in artificial intelligence, with monthly web visits for its Nano AI products exceeding 450 million, ranking second in domestic search and third in intelligent agents [1] - Active users of Nano AI surpassed 12 million, placing the company among the top 10 in the domestic market [1][2] Technological Advancements - The latest model "360zhinao2-o1.5" was released in 2025, showing significant improvements in mathematical and scientific reasoning capabilities, ranking among the top tier of domestic large models [2] - The company launched the "360 Security Intelligent Agent," reconstructing the digital security defense system with over 100 expert-level intelligent agents deployed in various security scenarios [2] - The company has identified 58 APT organizations, accounting for 98% of all APTs discovered in the country, demonstrating its strong capabilities in cybersecurity [2] Shareholder Returns - Since its restructuring and listing in 2018, the company has distributed a total of approximately 4.334 billion yuan in cash dividends, with a planned distribution of 1 yuan per 10 shares for the 2024 fiscal year, totaling around 700 million yuan [2] Future Outlook - The company aims to continue its vision of becoming the safest AI innovator, focusing on the "AI + Security" field through technological innovation and business upgrades to create greater value for investors [2]

Group 1 - The digital economy is accelerating, with security and AI technologies becoming key drivers for industrial upgrades [1] - The 2025 China International Big Data Industry Expo will open on August 27, showcasing 360 Group's innovations in digital security and AI [1][4] - 360 Group's security intelligent matrix is built on its native security model, addressing traditional cybersecurity issues with proactive and intelligent defense systems [3] Group 2 - The security intelligent matrix includes eight intelligent agents focused on security operations, endpoint security, and traffic detection, enhancing automated decision-making capabilities [3] - 360 Group has identified 58 national-level hacker organizations and handles 98% of national-level threat detection tasks in the digital security field [3] - The company aims to promote AI technology in various scenarios and strengthen the security framework for digital economic development during the expo [4]

Core Insights - The core theme of the event was "Dare AI, Dare to Act," showcasing 360 Group's latest breakthroughs in AI technology and a strategic shift towards "All in Agent" focusing on intelligent agent development [1][3] Group 1: AI Technology Development - 360 Group introduced its latest innovation, Nano AI, which can generate videos from simple descriptions, demonstrating a significant leap in AI capabilities beyond basic dialogue and Q&A [1][3] - The Nano AI is positioned as a Level 4 intelligent agent, the only one of its kind, capable of multi-agent collaboration to tackle complex tasks and create greater value [3][4] Group 2: Market Reception and Strategic Direction - Nano AI has achieved the highest monthly traffic in the intelligent agent category, indicating its popularity and the promising future of intelligent agent technology [4] - The "All in Agent" strategy reflects 360's accurate assessment of AI technology trends and aims to deepen the exploration and expansion of its core business, particularly in the context of increasing cybersecurity challenges [4]

Core Insights - 360 Group celebrates its 20th anniversary and announces a strategic focus on "All In Agent" for the next phase of development [1] - The company has upgraded its mission, vision, and values to support the implementation of this strategy [1] - Zhou Hongyi predicts that 2025 will be the "Year of Intelligent Agents," highlighting advancements in nano AI, which has achieved L3-level reasoning capabilities [1] Company Strategy - The strategic direction emphasizes a commitment to intelligent agents, indicating a shift towards more advanced AI applications [1] - The company aims to enhance its operational efficiency and effectiveness through the deployment of intelligent agents [1] Technological Advancements - Nano AI has successfully executed 100-step tasks with zero errors, showcasing its reliability and performance [1] - The technology consumes 1 million tokens per single execution and utilizes over 100 tools, achieving a task success rate of 98.2% [1]

Core Viewpoint - The article emphasizes the rapid integration of intelligent agents into core industrial sectors, highlighting the shift from mere technological buzzwords to practical productivity tools, particularly through the example of 360's AI applications in enterprise settings [4][8]. Group 1: Strategic Focus - The company advocates for not blindly pursuing large models but instead focusing on smaller, specific scenarios to achieve breakthroughs in enterprise applications [5][6]. - The transition from large models to intelligent agents is seen as a necessary evolution, where intelligent agents serve as the operational components that execute tasks and deliver results [8]. Group 2: Implementation Methodology - The company’s approach involves identifying and addressing core pain points within enterprises, leveraging small-scale scenarios to unlock significant business value and efficiency improvements [13][32]. - A case study in the rail transit sector illustrates how the company automated monthly operational reports, significantly enhancing management efficiency through the integration of AI knowledge bases and intelligent agents [11][12]. Group 3: SEAF Platform Capabilities - The SEAF platform is designed to address common issues faced by enterprises, such as usability and security, by providing a comprehensive suite of tools and resources for intelligent agent development [16][20]. - The platform features an "8+10" capability architecture, which includes foundational and enhanced capabilities to support complex task management and security [17]. Group 4: Safety and Security - The article stresses the importance of integrating safety measures with AI applications, as the deployment of intelligent agents introduces new security risks, including data breaches and automated attacks [34][36]. - The company positions itself as a key player in providing the necessary security infrastructure to support the safe deployment of intelligent agents in enterprises [37][38]. Group 5: Ecosystem Development - The company aims to establish an open-source ecosystem similar to Android, which would lower development barriers and foster collaboration among partners to create standardized applications for various industries [41][42]. - The ultimate goal is to build a foundational AI infrastructure that facilitates the widespread adoption of AI technologies across diverse sectors, ensuring accessibility and efficiency [44].

Core Insights - The article discusses the rapid advancements in the AI large model industry, highlighting the emergence of "embodied intelligence" as a significant trend, with major companies showcasing their latest technologies at the World Artificial Intelligence Conference (WAIC) [15][16][27]. Group 1: Industry Trends - The WAIC attracted over 350,000 attendees and featured more than 800 exhibitors, showcasing over 3,000 cutting-edge technologies, indicating a strong interest in AI applications and industry collaboration [15]. - The trend of "embodied intelligence" is shifting AI from virtual environments to physical applications, such as robots and smart devices, enhancing real-world interactions [15][16]. - The development of multi-agent systems is becoming prominent, allowing multiple AI agents to collaborate on complex tasks, improving efficiency and aligning with real-world operational logic [17][18]. Group 2: Major Company Developments - Alibaba launched several models at WAIC, including the Qwen3 series, which outperformed closed-source models in various evaluations, emphasizing its commitment to open-source AI [21][22]. - ByteDance introduced new models like Doubao 3.0 for image editing and a simultaneous interpretation model, showcasing its diverse AI capabilities across different domains [23][24]. - Huawei unveiled the Ascend 384 super node, achieving 300 PFLOPS computing power, significantly enhancing the performance of large models [26][27]. Group 3: Open Source Initiatives - The open-source movement in the AI sector is gaining momentum, with major companies like Alibaba and ByteDance releasing models to foster innovation and collaboration within the developer community [19][20]. - The open-source models are expected to accelerate application development and attract more talent and resources into the ecosystem, marking a new phase in the domestic AI landscape [20]. Group 4: Performance Metrics - The GLM-4.5 model from Zhiyuan AI achieved a significant reduction in inference costs while maintaining high performance across various benchmarks, indicating advancements in model efficiency [40]. - The Kimi K2 model from Moonlight achieved a high performance rating in mathematical reasoning and multi-language support, setting a new standard for open-source models [47][48].

Core Viewpoint - The 13th Internet Security Conference (ISC.AI 2025) emphasizes the importance of AI and its applications, with a focus on the transformative impact of intelligent agents on various industries and the economy [1][3]. Group 1: AI Development and Impact - Zhou Hongyi, founder of 360 Group, highlights that the current wave of AI development is unprecedented, predicting significant societal and economic changes due to the rise of intelligent agents [3]. - The concept of "All In Agent" is promoted, encouraging all sectors to embrace AI to enhance productivity and drive the construction of a digital China [3][5]. Group 2: Intelligent Agents and Their Capabilities - Intelligent agents are described as the key to transitioning AI from mere thinking to actionable capabilities, reshaping industry structures and accelerating new productivity [5][6]. - The introduction of the L4 multi-agent swarm by Nano AI represents a qualitative leap in intelligent agent capabilities, allowing for efficient teamwork across different domains [6]. Group 3: 360 Intelligent Agent Factory - The 360 Intelligent Agent Factory aims to lower the barriers for AI application, featuring a simple development process that allows non-technical personnel to create intelligent agents using natural language [6][10]. - The factory supports continuous execution of complex tasks and integrates a vast ecosystem of existing intelligent agents and tools, enabling businesses to utilize AI effectively [7][8]. - A comprehensive security framework is established to protect the entire lifecycle of intelligent agent production and application, addressing potential risks [9]. Group 4: Future of Work and AI Integration - The model proposed by Zhou Hongyi envisions a future where human employees lead numerous intelligent agents, transforming them into "super individuals" and organizations into "super organizations" [10]. - The "Red Dress Classroom" initiative aims to educate individuals and organizations on building core competencies in the era of intelligent agents, facilitating the practical application of cutting-edge technology [10].

Group 1 - The core viewpoint of the article is that Zhou Hongyi, the founder of 360, has decided not to produce short dramas anymore, stating that they do not align with his temperament [2][7] - Zhou Hongyi's first short drama, "Reigniting the Life of a Hidden Hacker," aired at the end of 2024 and sparked significant discussion due to its unique blend of a love story and an AI entrepreneurship narrative [4] - The short drama features a storyline where a wealthy father's tech company is intertwined with his son's romantic interest in a cleaning lady, who ultimately aids in the development of an AI product [4] Group 2 - Zhou Hongyi previously clarified that his interest in short dramas was business-related, not personal, after being misinterpreted by the media [5] - Following the announcement of his short drama, the National Radio and Television Administration required stricter management of "wealthy boss" micro-dramas, leading to public reactions directed at Zhou Hongyi [6] - At the ISC AI2025 conference, Zhou Hongyi expressed a shift in focus towards collaboration on animated-style short dramas, highlighting advancements in their AI tool, Nano AI, which has recently upgraded to a Level 4 intelligent system [7]