AI+互联网媒体行业 丨研究报告 前言： 研究意义 在AI技术加速重构传播生态的进程中，AI赋能已成为驱动互联网媒体产业升级的核心引擎。随着用户需求多元化与媒介形态迭代加速，内容生产者不仅需要应对创作效率、 分发精准度等传统挑战，还需在生成式AI驱动的智能时代重塑内容生态。多模态大模型、深度推理算法等技术的突破，正深刻变革互联网媒体的内容生产范式、传播路径和 商业模式。 在此背景下，本次研究聚焦生成式AI技术对互联网媒体全链路的深度赋能，以及标杆平台在智能化转型中的创新实践，旨在为内容创作者优化生产流程、为媒体平台提升运 营效率提供有力支持，同时为行业决策者与投资者提供前瞻性观点。 研究内容 本报告深度解析中国互联网媒体行业的现状、AI赋能下的技术突破与转型路径，系统阐述生成式AI技术如何重构互联网媒体内容生态全链路，并提炼技术赋能下的实践成果 与行业价值。 发展概况 ：当前中国互联网媒体行业正迈向AI赋能的智能生态融合阶段。当前用户增长趋缓，竞争转向存量市场。生成式AI加速多模态融合应用，重构内容生态与用户体 验，驱动行业向质量效率转型。 深度赋能 ：AI技术深度赋能互联网媒体行业，推动全链条智能化转型。在 ...

Core Insights - Weibo AI has introduced its self-developed open-source large model, VibeThinker, which has only 1.5 billion parameters but outperformed models with hundreds of times more parameters in benchmark tests [1][2][3] - The training cost for VibeThinker is only $7,800, significantly lower than competitors, indicating a shift from a "scale competition" to an "efficiency revolution" in the AI industry [1][5][6] Model Performance - VibeThinker achieved impressive results in high-difficulty mathematical tests, surpassing models like DeepSeek-R1 with 671 billion parameters and MiniMax-M1 with 456 billion parameters [2][3] - The model's performance in LiveCodeBench v6 matched or exceeded that of larger models, demonstrating the potential of smaller models in complex reasoning tasks [3] Cost Efficiency - The total training cost for VibeThinker was approximately $7,800, which is 30 to 60 times more cost-effective than other models that require hundreds of thousands of dollars for similar performance [6][7] - This cost advantage allows smaller companies and research institutions to participate in AI innovation, promoting a more inclusive AI research environment [7][8] Application and Ecosystem - Weibo is actively integrating AI technology across various business scenarios, launching features like Weibo Smart Search and AI Interaction Accounts to enhance user experience [8][9] - The development of VibeThinker marks a new phase in Weibo's AI strategy, focusing on leveraging unique data assets to create a model that better understands public sentiment and social needs [9][10] Future Prospects - VibeThinker is expected to drive the growth of Weibo's AI applications, enhancing user experience and potentially creating a new "social super-ecosystem" that combines social attributes with intelligent services [10][11] - The technological advancements of VibeThinker are anticipated to significantly reduce the operational costs of AI applications on the Weibo platform, allowing for scalable AI capabilities without excessive resource burdens [11]