Core Viewpoint - The rise of AIGC (AI-Generated Content) has significantly transformed the content creation landscape, particularly in the self-media sector, leading to an influx of creators and a surge in content volume, but not necessarily in quality [6][7][10]. Group 1: Impact of AIGC on Content Creation - AIGC represents a shift from professional content generation (PGC) to user-generated content (UGC), and now to AI-generated content, lowering the barriers for content creation [7]. - The self-media industry has become increasingly competitive, with AIGC contributing to a saturation of low-quality, homogeneous content, making it harder for users to find valuable information [9][10]. - AIGC content is characterized by a lack of creativity and originality, primarily serving to aggregate existing knowledge rather than generate new insights [14]. Group 2: Practical Value of AIGC - AIGC has practical applications in various content types, including media dissemination, formal documents, and academic/literary works, particularly in generating routine or template-based articles [16][18]. - While AIGC can enhance efficiency in producing standard content, it often requires significant post-processing to meet quality standards, especially for high-stakes media articles [18][19]. Group 3: Drawbacks of AIGC in Content Creation - A significant drawback of using AIGC is the potential for cognitive dependency, which may diminish creative thinking and writing skills over time [21][23]. - AIGC-generated content can lead to a homogenization of writing styles, resulting in a loss of individual voice and originality among creators [23]. Group 4: Competitive Strategies Against AIGC - To compete with AIGC, content creators should focus on providing unique insights, simplifying complex topics, ensuring comprehensive coverage, maintaining accuracy, and delivering timely information [27][28][29]. - The ability to present technical information in an accessible manner is highlighted as a key competitive advantage over AIGC-generated content [27]. Group 5: Concerns Regarding AIGC - There are concerns that AIGC may undermine human creativity and originality, as it often relies on existing human-created content for training without compensating the original creators [30]. - The efficiency of AIGC poses a threat to human creators, potentially leading to a decline in the quality and diversity of original content available to audiences [30]. Group 6: AIGC's Influence on Video Content - AIGC is also impacting video content creation by lowering production barriers, although high-quality AIGC video content remains scarce [33][34]. - The prevalence of AIGC in video production may lead to a decline in societal appreciation for original storytelling and artistic expression, raising ethical concerns regarding intellectual property [34].

最近这几年，AIGC大模型浪潮的爆发，给整个社会带来了巨大的冲击。内容创作领域，尤其是自媒体 领域受到的影响尤为明显。 作为一个通信科普自媒体博主，我一直在观察AIGC的动向，以及可能对我带来的影响。本着"打不过就 加入"的原则，我也一直在积极拥抱AIGC，尝试在工作中引入这方面的能力。 时间久了，我就形成了一些感受和看法。接下来，我就给大家做一个分享。 一、AIGC，到底给互联网带来了什么？ 如今，AIGC的崛起大幅降低了内容创作的门槛和难度。它导致自媒体领域涌入了更多创作者，内容创 作量也激增。 自媒体创作是流量经济。通过内容吸引流量，累积粉丝，然后变现（例如接广告）。 行业有很多自媒体网红也创造了不少暴富神话。在AIGC之前，自媒体领域已经是红海。AIGC之后， 红海变得更红，流量竞争变得更加惨烈。 但我个人感觉，AIGC并没有给互联网内容质量带来提升，反而增加了大量的同质化、碎片化内容和垃 圾内容。 互联网现在最大的问题不是"缺少内容"，而是"垃圾内容太多，导致真正需要的内容更难被找到"。用户 大量的时间，都浪费在对内容的筛选、过滤和判别上。AIGC内容的大量涌入加剧了这个问题。 用户对低质内容是有一 ...