而就在三个月前，超千名作者签署了公开信，要求出版商承诺永远不会发行机器创造的书籍，抗议的作 者中包括《小镇女孩的秘密》作者劳伦·格罗夫、《魔术师》三部曲作者列夫·格罗斯曼等等。 文字创作者们对AI的反抗正频频发生。 最近的一次发生在九月初。大洋彼岸，美国著名作家格雷迪·亨德里克斯与詹妮弗·罗伯逊代表数百名作 者，向科技巨头苹果公司发起集体诉讼，指控其未经授权使用盗版书籍训练AI模型OpenELM。 作家们拒绝机器代替人类成为表达情感、表达认知的主体，以这样的行动捍卫人文学科的尊严。这一反 抗背后的残酷事实是，AI创作的内容已经可以与畅销书作家的作品并列于书架之上。 同样的危机也在国内网文行业上演。 "我天生夹子音，做作得不行。"这是小沈发布在知乎上的短篇小说的开头。 时隔半年多，小沈发现番茄小说上到处都是这个开头，还有各种各样AI改编后的版本——主要角色人 设和整体情节都与小沈的设计大差不差，只是冗余的细节更多了，带着浓浓的AI味。 人们慢慢开始分不清AI和人类的创作。 小沈选择一一举报，侵权的作品被平台下架，但收入还是没有追回。 她的经历并非个例，去年以来，AI内容正在国内头部网文平台番茄小说上如同雨后春笋 ...

而就在三个月前，超千名作者签署了公开信，要求出版商承诺永远不会发行机器创造的书籍，抗议的作 者中包括《小镇女孩的秘密》作者劳伦·格罗夫、《魔术师》三部曲作者列夫·格罗斯曼等等。 作家们拒绝机器代替人类成为表达情感、表达认知的主体，以这样的行动捍卫人文学科的尊严。这一反 抗背后的残酷事实是，AI创作的内容已经可以与畅销书作家的作品并列于书架之上。 同样的危机也在国内网文行业上演。 "我天生夹子音，做作得不行。"这是小沈发布在知乎上的短篇小说的开头。 作者 | 兰杰 编辑 | 乔芊 文字创作者们对AI的反抗正频频发生。 最近的一次发生在九月初。大洋彼岸，美国著名作家格雷迪·亨德里克斯与詹妮弗·罗伯逊代表数百名作 者，向科技巨头苹果公司发起集体诉讼，指控其未经授权使用盗版书籍训练AI模型OpenELM。 时隔半年多，小沈发现番茄小说上到处都是这个开头，还有各种各样AI改编后的版本——主要角色人 设和整体情节都与小沈的设计大差不差，只是冗余的细节更多了，带着浓浓的AI味。 小沈选择一一举报，侵权的作品被平台下架，但收入还是没有追回。 她的经历并非个例，去年以来，AI内容正在国内头部网文平台番茄小说上如同雨后春笋般涌现 ...

Core Viewpoint - The article discusses the growing resistance from authors against AI-generated content in the literary industry, highlighting legal actions and personal experiences that reflect the impact of AI on traditional writing and the challenges faced by authors in a rapidly changing landscape [4][5][6]. Group 1: Author Resistance and Legal Actions - A collective lawsuit was filed by authors against Apple for unauthorized use of their works to train AI models, indicating a significant pushback against AI in the literary field [4]. - Over a thousand authors signed an open letter demanding publishers not to release machine-generated books, emphasizing the importance of human creativity in literature [4]. Group 2: Impact of AI on the Online Literature Industry - The influx of AI-generated content on platforms like Tomato Novel has surged, with new book releases increasing from 400 to 5,606 in one year, a 1,300% rise [8]. - Despite attempts by platforms to control AI content, the volume of AI-generated works continues to disrupt the flow of new authors and their potential earnings [8][9]. Group 3: Author Experiences and Challenges - Authors like "Cang Shu" and "Xiao Zhang" have reported significant drops in their readership and income due to the overwhelming presence of AI-generated content, leading to feelings of frustration and confusion [9][10]. - The introduction of AI-assisted writing tools has allowed for rapid content production, but many authors feel their traditional writing efforts are being overshadowed [9][10]. Group 4: AI Content Production and Monetization - Individuals and small teams are leveraging AI to produce large volumes of content quickly, with one author reportedly generating a 200,000-word novel in just a few hours [20][27]. - The monetization of AI-generated content is evident, with some authors successfully selling rights to their AI-generated works, indicating a new revenue stream in the industry [27][28]. Group 5: Industry Response and Future Outlook - Platforms are currently siding with traditional authors, implementing measures to limit low-quality AI content while still grappling with the challenges posed by AI advancements [30][32]. - The future of the online literature industry remains uncertain as the capabilities of AI continue to evolve, raising questions about the long-term impact on human authors and the quality of literary works [33][34].

Core Viewpoint - The article discusses the ongoing conflict between human authors and AI-generated content in the online literature industry, highlighting the challenges faced by writers as AI technology evolves and begins to dominate the market [4][9][23]. Group 1: AI Impact on Authors - A significant increase in AI-generated content has been observed on platforms like Tomato Novel, with new book releases skyrocketing from 400 to 5,606 in one year, marking a 1,300% increase [8]. - Many authors report a drastic decline in their readership and income due to the influx of AI content, leading to feelings of frustration and confusion about the platform's management of AI-generated works [10][12]. - The introduction of AI-assisted writing tools has allowed for rapid content production, enabling some authors to generate up to 20,000 words daily, which has further intensified competition [10][21]. Group 2: Market Dynamics - The article notes that AI-generated content is increasingly being produced in bulk, with individuals and small teams using AI to create multiple works simultaneously, often based on popular narratives [24][28]. - Despite the challenges posed by AI, there remains a market for AI writing tools and courses, with some individuals successfully monetizing AI-generated content through copyright sales [30][31]. - The online literature industry is experiencing a shift, with platforms like Tomato Novel and Jinjiang taking measures to regulate AI content, yet the effectiveness of these regulations remains uncertain [39][40]. Group 3: Author Reactions and Resistance - Authors have expressed strong opposition to platforms using their work to train AI, leading to widespread protests and demands for better protection of their rights [37][38]. - Some authors have chosen to leave platforms that do not align with their values regarding AI content, while others are exploring alternative avenues within the industry [14][36]. - The article highlights a divide among authors, with some embracing AI as a tool for collaboration, while others remain skeptical of its ability to replicate the nuances of human creativity [15][20].

龙空论坛某用户2025年9月23日下午3点47分发布的一条和番茄小说有关的帖子引起了网站用户广泛注意。发布次日该帖子就冲到了"今日热门"榜首。 龙空论坛全名"龙的天空"，是国内知名网文作者聚集地，尽管创建已20年有余，至今仍是作者互相交流、鉴稿、吐槽、八卦阵地。 该帖讲的是作者当日下午提交内容时，平台弹出了"是否使用AI"的选项，同时出现的还有一行提示语——"如果你上传的作品采用人工智能相关的工具进 行合成/生成，需如实勾选"，并称若存在未如实申报的情况，可能无法通过审核。 话题迅速在社区发酵。有作者吐槽"要好起来了吗"；也有人说"使用AI，那谁还看"；有人犹豫用AI生成情节、自己改写算不算AI；更有用户发问，对完本 时超百万字的网络小说，AI在文中的使用达到哪种比例算"合成/生成"；还有人表示忧虑，称自己手上两本书都在用AI续着"混全勤"，真要卡的话就完 了。 更多人关心番茄小说官方接下来的操作。他们想知道的是，如果自己主动选了"是"，作品会不会被限流。 需要指出的是，平台要求作者对AI生成内容进行标注，是为了顺应国家在政策法规层面的明确要求。2025年3月14日 《人工智能生成合成内容标识办法》 （以下简 ...

如果你正在为每天撰写大量文章而苦恼，效率低下且内容质量参差不齐，那么我朋友周逸琛的经历或许能给你一些启发。 作为一名电商平台的内容运营负责人，他通过一款AI工具彻底改变了工作模式，接下来我将分享他的真实故事，看看技术是如何解决实际困境的。 ai修改润色文章工具到底能提升多少效率？ 去年双十一期间，周逸琛团队连续两周通宵加班，完成了近百篇产品推广文案，覆盖8个业务线。 最重要的是，他设置了"AI原创标题"并选择自媒体风格，使标题更具吸引力。 ai修改润色文章工具的实际效果如何？ 这种高强度的工作状态让他意识到，传统的内容创作模式已难以应对日益增长的多渠道运营需求。 在2025年春季的行业交流会上，AI写作工具成为热议话题。 周逸琛最初尝试了多款免费改写软件，但效果令人失望：部分工具生成的文本带有明显机械感，另一些则存在逻辑断层，修改成本甚至超过重新创作。 ai修改润色文章如何保证内容质量？ 经过反复测试，周逸琛最终选择了优采云AI创作平台。 他按照系统指引，先添加了自媒体站点，配置好发布接口，然后设置了"智能家居""科技产品"等核心关键词作为任务目标。 在功能细节设置中，他开启了"原创度提升"功能，确保文本相似 ...

去年三月的一个深夜，我在朋友圈刷到陈默的动态："凌晨三点，第十一稿依旧不满意，文案人的崩溃谁懂？"配图是满屏的废稿和空咖啡杯。 作为从业八年的内容创作者，陈默正面临职业瓶颈——在保证日更的同时维持内容质量几乎耗尽了他的精力。 AI制作文案教程如何提升内容创作效率？ 当他开始尝试AI文案工具时，最初只是简单地下达指令"写一篇小红书文案"，结果总是不尽人意。 经过反复摸索，陈默发现精准的角色设定是AI写作成功的关键。 他的标准指令逐渐进化："你是一位资深美妆博主，熟悉小红书平台的内容调性，擅长撰写沉浸式体验分享。请为这款新上市的精华液创作一篇种草文案， 要求包含使用前后面部对比，突出水润透亮的效果，文风亲切自然如向闺蜜推荐，并添加相关话题标签。" AI文案教程中哪些Prompt模板最实用？ 陈默通过实践收集了多种高效Prompt模板应对不同场景。 对于短视频脚本，他使用结构化指令："为一个关于'夏季护肤误区'的抖音视频写脚本，时长1分钟。需要包含开场悬念、3个误区讲解、产品植入和结尾互 动引导。" 他最为珍视的技巧是"示例模仿法"——建立一个优质文案库，每当遇到优秀案例就收藏起来，作为AI学习的素材。 他会挑选相 ...

Core Insights - The rapid advancement of AI technology is significantly transforming the content creation landscape, with ByteDance's Kousu Space introducing a deep writing feature that combines systematic thinking and efficient expression [1] Group 1: Innovations in AI Writing Tools - Kousu Space's standout feature is the "one-click optimization prompt" function, allowing users to make precise adjustments on preset templates, thereby lowering the barrier for using AI writing tools [1] - The system demonstrates exceptional capability in structuring academic papers, automatically generating complete frameworks that include abstracts, keywords, and references [1] - In professional content creation, the tool effectively addresses complex topics, such as producing a 3000-word paper on "ethical challenges of AI writing tools," complete with clickable references that correspond accurately to the text [1] Group 2: Analysis of Social Issues - The tool excels in analyzing social topics, as evidenced by its 2500-word exploration of the "new generation naming trends," which includes case studies, authoritative data, and a multi-dimensional analysis [1] - The narrative style combines storytelling with analysis, maintaining professional depth while adhering to the dissemination norms of the new media era [1] Group 3: Limitations in Emotional Content Creation - In emotional content creation, the tool shows noticeable limitations, such as generating travel essays that occasionally include English terms and time discrepancies, highlighting the gap between technical rationality and human warmth [2] Group 4: Comprehensive Creative Ecosystem - Kousu Space has built a complete creative ecosystem, supporting real-time adjustments from outline previews to multi-format exports (PDF/Markdown/Docx), enhancing the overall content creation process [3] - The tool's multimedia generation capabilities allow for simultaneous production of images, web versions, and podcast scripts, significantly improving content dissemination efficiency [3] Group 5: Performance Metrics - The tool demonstrates a significant advantage in data collection and structured presentation, enabling self-media practitioners to complete the entire process from topic selection to draft in just ten minutes, with generated content backed by credible data [4] - However, in creative writing, the system struggles with narrative pacing, producing outputs that resemble analytical reports rather than literary creations when tasked with mimicking Hemingway's style [4]

Group 1 - The article discusses the limitations of AI tools in writing, emphasizing that a "write for you" AI may not be the best solution for content creators due to issues like hallucination, memory, and context [1][2] - A combination of traditional writing tools and AI can create a more effective writing workflow that aligns with existing habits [2][7] - The writing process is divided into stages: brainstorming, organizing, and writing, with specific tools recommended for each stage [3][17][26] Group 2 - For the brainstorming phase, tools like Gemini can help clarify thoughts and provide multiple angles on a topic, rather than generating full text [3][10][12] - During the organizing phase, visual tools like YouMind and Miro can effectively organize materials and stimulate ideas, offering a more efficient alternative to traditional browser tabs [4][19][22] - In the writing phase, it is suggested to revert to a non-AI environment to maintain personal writing style and avoid the "AI flavor" in the text [27][28][30] Group 3 - The article highlights the importance of human involvement in the writing process, as AI should serve as a tool for reflection and brainstorming rather than a replacement for the writer [16][29][36] - It notes that while AI tools are evolving, the essence of writing remains a balance between expression and control, requiring writers to find their own rhythm [37]

Core Insights - The article discusses the findings of a recent study that challenges the notion that AI-generated writing is inherently homogeneous, suggesting that the "initial conditions" provided by humans play a significant role in the diversity of AI writing outputs [2][3][10]. Group 1: Research Findings - The study reveals that when humans provide an opening or insert random words before AI writing begins, the resulting text exhibits greater diversity [2][8]. - It was found that human writing in the Short Stories dataset showed lower stylistic variance compared to AI models, which displayed richer stylistic diversity [5][23]. - The research introduces a new set of evaluation metrics and datasets to benchmark the diversity of language models, addressing previous limitations in assessing creative diversity [12][11]. Group 2: Data Collection and Analysis - The study analyzed short stories sourced from Reddit's r/shortstories and r/WritingPrompts, focusing on human responses to writing prompts and independent narrative texts [13][14]. - A total of 100 writing prompts and their corresponding human responses were collected, ensuring a quality selection by retaining only the top responses based on votes [15]. - The analysis included various dimensions of text homogeneity, categorized into stylistic, semantic, and sentiment metrics [17][20][21]. Group 3: Homogeneity Metrics - The study employed metrics such as Unique-N and variance of stylistic features to assess the diversity of writing styles across human and AI-generated texts [20][23]. - Semantic homogeneity was evaluated by comparing the average similarity of text embeddings, revealing that human works exhibited higher semantic diversity than AI-generated texts [24][27]. - Sentiment analysis indicated that while human stories often displayed a mix of positive and negative emotions, AI-generated narratives tended to lean more towards positive sentiments [32][34]. Group 4: Implications for AI Writing - The findings suggest that providing more context or random words in prompts can enhance the diversity of AI outputs, indicating a potential area for further exploration [35][41]. - The study's results imply that while AI models still lag behind human creativity in terms of diversity, there are methods to improve their outputs significantly [40][41].