近年来，知乎积极拥抱AI，推进"高质量内容x可信专家网络xAI能力"的AI战略。财报显示，第二季 度，知乎日均新增高质量内容环比提升超过10%，其中AI相关专业内容连续两个季度保持同比45%以上 的增长。 8月27日晚间，知乎发布2025年中期业绩报告显示，上半年公司实现收入14.47亿元，同比下滑23.7%； 经调整净利润9828万元，实现扭亏为盈。其中，第二季度公司实现营收7.17亿元，经调整净利润9130万 元，连续三个季度实现Non-GAAP盈利。 据介绍，在AI领域，知乎已经形成一个庞大的专家网络，其中包括：1600万参与科技和AI话题讨论的 持续学习者，365万相关话题下的深度创作者，15万来自科研机构、企业和媒体的生态链接者，每月有 超过5000万的活跃用户关注科技互联网和AI的相关内容。 拆解看，第二季度，公司付费阅读业务贡献4.02亿元营收，占比达到56.1%。营销服务和职业教育业务 分别贡献2.23亿元和6210万元，占比为31.1%、8.7%。截至第二季度末，知乎现金及现金等价物、定期 存款、受限资金及短期投资合计48.2亿元。 运营层面，知乎第二季度在月活跃用户规模基本保持的同时，日活 ...

本报讯 （记者袁传玺）8月27日，知乎发布2025年第二季度业绩报告。报告显示，知乎第二季度营收 7.17亿元，经调整净利润9130万元，连续三个季度实现Non-GAAP盈利，大幅超越市场预期。 连续三季度盈利 盈利能力稳步提升 财务层面，知乎继续稳固多引擎商业布局，其中付费阅读业务贡献4.02亿元营收，占比达到56.1%。营 销服务和职业教育业务分别贡献2.23亿元和6210万元，占比为31.1%、8.7%。 自2024年第四季度首次实现全面利润转正以来，知乎始终延续季度性盈利的强劲势头，第二季度经调整 净利润9130万元，连续三个季度实现Non-GAAP盈利。截至第二季度末，知乎现金及现金等价物、定期 存款、受限资金及短期投资合计48.2亿元。 运营层面，知乎持续巩固可信赖社区的核心价值和优势，通过知乎直答等AI应用，推动社区内容和创 作生态的正循环。第二季度在月活跃用户规模基本保持的同时，日活用户使用时长、核心用户留存环 比、同比提升显著。此外，第二季度月均订阅会员数继续保持行业领先，达到1320万。 知乎创始人、董事长兼CEO周源表示："我们连续三个季度实现了非公认会计准则盈利。充分体现了我 们精细化 ...

8月27日，知乎（NYSE:ZH；HKEX:2390）发布2025年第二季度业绩报告。财报显示，知乎第二季 度营收7.17亿元，经调整净利润9130万元，连续三个季度实现Non-GAAP盈利。 连续三季度盈利，盈利能力稳步提升 财务层面，知乎继续稳固多引擎商业布局，其中付费阅读业务贡献4.02亿元营收，占比达到 56.1%。营销服务和职业教育业务分别贡献2.23亿元和6210万元，占比为31.1%、8.7%。 自2024年第四季度首次实现全面利润转正以来，知乎始终延续季度性盈利的强劲势头，第二季度经 调整净利润9130万元，连续三个季度实现Non-GAAP盈利。截至第二季度末，知乎现金及现金等价物、 定期存款、受限资金及短期投资合计48.2亿元。 运营层面，知乎持续巩固可信赖社区的核心价值和优势，通过知乎直答等AI应用，推动社区内容 和创作生态的正循环。第二季度在月活跃用户规模基本保持的同时，日活用户使用时长、核心用户留存 环比、同比提升显著。此外，第二季度月均订阅会员数继续保持行业领先，达到1320万。 知乎创始人、董事长兼CEO周源表示："我们连续三个季度实现了非公认会计准则盈利。充分体现 了我们精细化运 ...

新浪科技讯 8月27日下午消息，知乎发布2025年第二季度业绩报告。报告显示，知乎第二季度营收7.17 亿元，其中付费阅读业务贡献4.02亿元营收，占比达到56.1%。营销服务和职业教育业务分别贡献2.23 亿元和6210万元，占比为31.1%和8.7%。 知乎创始人、董事长兼CEO周源表示："我们连续三个季度实现了非公认会计准则盈利。充分体现了我 们精细化运营策略的持续成效，以及人工智能技术融合所带来的效率提升。我们的社区保持着活跃的生 命力，用户基础稳定，日活跃用户访问时长、核心用户留存率和创作者活跃度均有显著提升。人工智能 现已深度融入我们的产品体验，为用户和创作者不断创造更大的价值。知乎也因此成为人工智能相关内 容、产品发布和专家互动的重要平台。我们相信，高质量内容、可信赖的创作者以及人工智能能力之间 的协同效应，将持续强化我们的差异化优势，并为公司带来显著的长期竞争力。" 责任编辑：何俊熹 自2024年第四季度首次实现全面利润转正以来，知乎始终延续季度性盈利的势头，第二季度经调整净利 润9130万元，连续三个季度实现Non-GAAP盈利。截至第二季度末，知乎现金及现金等价物、定期存 款、受限资金及短 ...

Core Viewpoint - The article emphasizes the importance of mastering AI large model capabilities for programmers to remain competitive in the job market, as companies are increasingly focusing on AI applications and those with AI skills are seeing significant salary increases and job opportunities [2][20]. Group 1: AI Skills and Job Market - Many programmers are still relying on outdated skills, while those integrating large models into their workflows are becoming more valuable [2][14]. - Companies are prioritizing AI applications, leading to a demand for programmers skilled in large models, with salary increases exceeding 50% for those who adapt [2][18]. - The article promotes an "AI Large Model - Employment Practical Camp" aimed at enhancing technical skills and career prospects in just two days [5][20]. Group 2: Course Content and Benefits - The course includes technical principles, practical project replication, and career planning, designed to bridge the gap from zero to one in AI large model application development [2][10]. - Participants will receive a job-seeking package that includes internal referrals, interview materials, and knowledge graphs [6][16]. - The course will cover the use of RAG and fine-tuning techniques to improve the application of large language models, along with real-world case studies [7][10]. Group 3: Career Development and Opportunities - The course aims to help programmers connect with product and business teams, build technical barriers, and avoid job insecurity, especially for those over 35 [14][18]. - Insights into current hiring trends, salary expectations, and career development paths will be provided from the perspective of hiring managers [18][20]. - The article highlights that many participants have successfully transitioned to higher-paying roles after completing the course [18].

Core Viewpoint - The article emphasizes the importance of integrating existing programming skills with large model technologies to enhance career prospects in the AI field, rather than abandoning current skills [1]. Summary by Sections Course Overview - A course titled "Large Model Application Development Practical Training" is designed to help developers master AI application development from scratch through practical projects and code breakdowns [1]. - The course includes insights from industry experts and real case studies from major companies, providing participants with high-paying job opportunities and internal referrals [1][15]. Course Content - The curriculum covers essential concepts such as RAG (Retrieval-Augmented Generation), AI Agent, and Transformer architecture, focusing on practical applications and fine-tuning techniques [9][11]. - It consists of five modules: basics, tools, advanced topics, competitions, and practical applications, ensuring a comprehensive learning path [9]. Target Audience - The course is aimed at developers looking to connect with product teams, build technical barriers, avoid job insecurity, and enhance their skills for future career development [13]. - It is particularly relevant for programmers concerned about job stability as they age, especially those nearing the 35-year mark [13]. Success Metrics - The course has successfully served over 20,000 students, receiving positive feedback and helping many secure high-paying job offers [11]. - Participants learn to customize models for specific industries such as manufacturing, healthcare, and finance, improving task accuracy and efficiency [11]. Practical Experience - The course includes detailed case studies of popular AI applications, allowing participants to gain hands-on experience and build a portfolio of practical projects [16]. - Students will learn to implement AI technologies in various business scenarios, enhancing their employability [16]. Career Development - The course offers insights into current job market trends for large model technologies, including salary expectations and career growth opportunities [20]. - Continuous internal referral opportunities are provided, ensuring participants have a direct pathway to high-paying positions in leading companies [20].

Core Viewpoint - The article emphasizes the importance of integrating existing programming skills with large model technologies to enhance career prospects and salary opportunities in the AI field [1]. Group 1: Course Offerings - A course titled "Large Model Application Development Practical Training" is designed to help developers master the complete AI application development process through practical projects and code breakdown [1]. - The course covers essential technologies such as RAG, AI Agent, and Transformer architecture, providing a comprehensive learning path from basics to advanced applications [8]. - The course has served over 20,000 students and has received positive feedback, with many participants securing high-paying job offers [10]. Group 2: Learning Outcomes - Participants will learn to fine-tune mainstream large models like DeepSeek and Qwen for specific scenarios, improving model performance and task accuracy [10]. - The course includes practical applications of RAG technology for efficient knowledge retrieval and generation in various sectors such as law, healthcare, and finance [10]. - Students will also learn to design and develop AI Agents for multi-task collaboration and complex problem-solving in industry-specific contexts [10]. Group 3: Career Development - The course aims to help participants build technical barriers, avoid job insecurity, and enhance their career development over the next 20 years [12]. - It offers insights into current job market trends, salary expectations, and career paths from the perspective of hiring managers [19]. - The program provides reliable internal referral opportunities and direct hiring benefits, facilitating quicker access to high-paying job offers [19].

Core Viewpoint - The article emphasizes the importance of integrating existing technical skills with large model applications to enhance career prospects in the AI era, rather than abandoning current expertise [2][3]. Summary by Sections Current Industry Trends - Many professionals in programming fields are feeling anxious about the rise of large models like GPT and DeepSeek, prompting a need to adapt and learn new skills [2]. - Despite layoffs and salary reductions, the trend towards AI application implementation is expected to continue, presenting opportunities for career advancement and salary increases [3]. Course Offerings - A course titled "Large Model Application Development Practical Training" is introduced, designed to help developers master the complete AI application development process through practical projects and live instruction [3][4]. - The course covers essential technologies such as RAG, AI Agent, and Transformer architecture, structured in five modules from basic to advanced levels [7]. Learning Outcomes - Participants will learn to fine-tune mainstream large models for specific scenarios, utilize domain data for model customization, and understand RAG technology for efficient knowledge retrieval and generation [9]. - The course aims to build skills for developing AI Agents capable of multi-task collaboration and complex problem-solving in various industry applications [9]. Success Metrics - The course has served over 20,000 students, receiving positive feedback for its learning methods and outcomes, with many participants securing high-paying job offers [11]. - The program offers opportunities for networking with product teams, building technical barriers, and avoiding job insecurity, particularly for those approaching career milestones [13]. Additional Benefits - Participants will receive access to real-world case studies and insights into high-demand AI applications, enhancing their practical experience and employability [14][16]. - The course includes direct referral opportunities to companies, increasing the chances of obtaining high-paying positions in the AI field [18].

Core Viewpoint - The article emphasizes the urgency for technology professionals to adapt to the rapid development and application of AI, particularly large models, as traditional roles face salary cuts and layoffs while demand for AI talent surges [1]. Group 1: AI Application Trends - The current job market shows a significant shift, with many traditional tech roles being eliminated while companies are actively hiring AI model talent at high salaries, such as 60K*16 [1]. - There is a low entry barrier for AI application roles, where candidates need to meet capability requirements rather than age restrictions [1]. - Experience in front-end and back-end development is particularly valuable in the deployment of large models, enhancing the accuracy of applications like RAG [1]. Group 2: Skills and Knowledge Requirements - Professionals with vertical domain experience can better identify pain points for model deployment, combining technical and business knowledge [1]. - The necessity of AI tools for enhancing work efficiency has become a requirement for 80% of companies [1]. - Companies like Alibaba and ByteDance are prioritizing candidates with AI model experience, making it essential for job seekers to fill knowledge gaps in AI [1]. Group 3: Training and Development Opportunities - A training program is being offered to help individuals master AI model technology and improve their career prospects [3][4]. - The program includes live sessions covering typical business scenarios, technical architecture, and core principles of AI models like RAG and Transformer [3]. - Participants will receive practical experience through project simulations, which can be added to their resumes to enhance job prospects [11]. Group 4: Career Advancement and Networking - The training will provide insights into current hiring trends in major companies, including job roles, salaries, and career development paths from an interviewer's perspective [6]. - There are opportunities for internal referrals and direct hiring, increasing the chances of securing high-paying offers [6][8]. - The program has successfully helped over 20,000 students, many of whom have secured high-paying job offers [16].

Core Viewpoint - The article emphasizes the transformative impact of AI technology on the job market for programmers, highlighting the urgent need for professionals to adapt to new AI-driven roles and skills to avoid career obsolescence [1]. Group 1: Industry Trends - Major companies like Alibaba Cloud, ByteDance, Tencent, JD.com, and Baidu are integrating AI capabilities into their core operations, with a significant portion of job openings (80%) related to AI [1]. - Traditional programming skills are becoming less relevant, as the demand shifts towards expertise in AI model development and application [1]. - The job market is experiencing a dichotomy where traditional tech roles are shrinking, while AI-related positions are expanding rapidly, with salaries increasing by 150% for these roles [1]. Group 2: Training and Development Opportunities - A free training program titled "AI Model Application Development Practical Training Camp" is being offered to help tech professionals acquire essential AI skills [2][3]. - The training includes live sessions covering the career prospects in AI, typical business scenarios, technical architecture, and hands-on experience with AI model fine-tuning [3][7]. - Participants will receive practical resources such as case studies and white papers on AI commercial applications upon completion of the course [14][18]. Group 3: Career Advancement - The article suggests that having experience in AI project development will soon become a prerequisite for job applications in the tech industry [1]. - The training program aims to help participants build a competitive edge by linking them with product teams and providing insights into the current job market and salary trends in AI [12][17]. - The course is designed to help individuals avoid the risk of job loss due to industry changes and to secure high-paying positions in the evolving tech landscape [12][17].