□ 魏 晓 AIGC时代新闻业的发展面向 观念持正：培塑算法素养与技术素养。较之于智能新闻浪潮伊始，写作机器人在纯文本模态领域的应 用，以ChatGPT、Sora、DeepSeek为代表的AIGC技术正推动多模态新闻生产迈向图文视音融合的应用 新阶段。理性看待技术演进与应用场景，是构建人机交互协同的基础与前提。媒体从业者需明 晰："人"与"机"并非"机进人退"的此消彼长，更非"一山不容二虎"的矛盾对立，而是人机互构的相互成 就。即便GPT-4拥有千亿规模参数，仍因数据抓取的随意性和广泛性，在生成内容中存在信息误导、虚 假炮制和事实篡改等风险，亟待人类智能的把关与纠偏。由此可见，AIGC在新闻生产当中的应用无法 完全替代人类，职业新闻人也应当持正观念，认清自身独特优势，将技术视作"助手"而非"对手"，将自 身视作"主角"而非"辅助"。与此同时，AIGC也不断倒逼专业新闻人提升算法素养与新闻素养。作为 AIGC的直接使用者，掌握新技术运行逻辑，方能"驾驭"工具。作为内容价值锚定者，强化算法伦理认 知与风险预判能力，方可实现科技向善。 权责分明：强化主体责任与行业自律。目前，我国针对AIGC生产新闻的立法更多停留在 ...

今年2月，由河南省文化和旅游厅、河南广播电视局主办，河南日报社承办的"跟着微短剧游河南"宣传推广活 动在郑州建业电影小镇启幕，开启一段"人在剧中、剧在景中、景因剧传、剧因景红"的新旅程。 本次活动旨在强力推动河南文旅拥抱微短剧，把微短剧打造成为文旅宣传的新形式、新载体，实现"剧景共 融、深度绑定"，助推一批文旅场景"借剧出圈"，实现旅游目的地从"取景地"到"打卡地"的转变。 在短视频风靡的时代，微短剧以"小剧集"迸发"大能量"，成为讲好中国故事的新载体、文旅融合的新赛道。 据2024年统计数据显示，在全国经网络视听平台机构自审通过播出的"竖屏"短剧行业中,郑州位居全国第二， 成为集内容策划、拍摄、制作于一体的重要城市。 百家取景地之洛邑古城。石智卫 摄 河南，拥有雄浑壮丽的巍峨山川、历经岁月洗礼的千年古迹、充满人间烟火气的街巷阡陌，俨然一座天然的 微短剧拍摄宝库。我们在全省征集了百家风格各异的微短剧取景地，提供绝佳创作灵感空间，诚邀全球微短 剧创作者，用镜头聚焦河南，用影像诠释时代，让世界看见中国。 这里不仅能拍摄故事，更为你提供微短剧创作出圈的N种可能。来河南，让你的创意与这片土地碰撞出最绚 丽的火花。下一 ...

Core Insights - The rise of AIGC detection for graduation theses has led to a new industry chain, with universities implementing AI content detection standards for students' papers [1][2] - Many students are using AI tools for various aspects of thesis writing, prompting universities to explore different AIGC detection requirements [2][3] - A gray market has emerged, where individuals and small agencies offer services to reduce AI content in theses, often at low prices [3][4] Group 1: AIGC Detection Implementation - Several universities, including Sichuan University and Beijing Normal University, have set limits on AI-generated content in theses, with humanities and social sciences capped at 20% and sciences at 15% [1] - Institutions like Fudan University require students to disclose the use of AI tools in their thesis commitment forms before defense [1][2] - The AIGC detection services are being offered alongside traditional plagiarism checks by academic websites such as CNKI, Weipu, and PaperPass [2][3] Group 2: Emergence of Gray Market - A significant number of students are turning to "降手" (AI reduction service providers) who charge around 10 yuan per 1000 characters to modify AI-detected content [4][6] - The market for these services has seen a surge, with many new entrants offering low-cost solutions, leading to a chaotic environment [10][11] - Some service providers are using AI tools themselves to modify texts, which raises questions about the effectiveness of these services [11][12] Group 3: Student Experiences and Challenges - Many students report dissatisfaction with the services, experiencing no reduction in AI detection rates or receiving poorly modified texts that distort original meanings [6][7] - The lack of objective metrics for AI content detection complicates the process, leading to confusion and frustration among students [7][8] - Students often face challenges in obtaining refunds or satisfactory service, as many providers operate on a low-cost model with minimal accountability [8][9]

近在人工智能技术飞速发展的当下， AI 与法律的融合正成为行业关注的焦点。 近日， 未可 知人工智能研究院与君合律师事务所联合举办了一场主题为 "玩转 AIGC 的 1001 种方式" 的 法商创新沙龙 ，吸引了众多法律界人士、科技从业者以及相关产业精英的积极参与。 本次沙龙近日在北京东城区建国门北大街8号华润大厦二层举行 ，采用线上公开直播的形式， 旨在从 AIGC（AI Generated Content）产学研前沿视角出发，为业界和即将步入市场的青 年人才带来跨界的智慧碰撞，共同探寻产业前沿机会与人才价值成长的方向。 在产业应用场景的探讨环节，沙龙聚焦于 AIGC 在不同领域的创新应用。 张孜铭老师 与杭州 心识宇宙科技有限公司商务总监 卢天夫先生 共同探讨了 AIGC 与智能创作的结合，展示了 AI 技术如何为创意产业带来新的活力与机遇。 《瑞丽服饰美容》出版人 石璐女士 、前时尚集团市场部总经理 徐 聪先生 以及养生堂品牌负 责人 吴依凡女士 则从时尚产业的角度出发，分享了 AIGC 在时尚设计、品牌推广等方面的应 用案例，揭示了 AI 技术如何重塑时尚产业的未来。此外，"国风元宇宙的一千零一夜"I ...

Core Insights - Both Century Internet and GDS Services reported significant growth in their Q1 2025 financial results, driven by the increasing demand for computing power due to AIGC [2][3][4] - Despite the growth, challenges remain in the commercialization transformation of IDC service providers in China [2][8] Century Internet Financial Performance - Century Internet's total revenue for Q1 2025 increased by 18.3% year-on-year, reaching 2.25 billion RMB; adjusted EBITDA grew by 26.4% to 682 million RMB, with an EBITDA margin improvement of 1.9 percentage points to 30.4% [3][4] - The operational capacity of base IDC increased by 18.1% quarter-on-quarter, adding approximately 88 MW to reach 573 MW, while the rack capacity grew by 23.9% to 437 MW, marking a historical high of 84 MW in new rack capacity [3][6] - The monthly recurring revenue per cabinet in urban IDC facilities rose to 8,898 RMB, with a slight increase in the rack utilization rate to 63.7% [3][6] GDS Services Financial Performance - GDS Services reported a net income of 2.7232 billion RMB (375.3 million USD) for Q1 2025, reflecting a year-on-year growth of 12.0%; adjusted EBITDA reached 1.3238 billion RMB (182.4 million USD), up by 16.1%, with an EBITDA margin of 48.6% [4] - The total usage area of GDS data centers grew by 14.6% year-on-year, with an additional 18,687 square meters, bringing the total usage area to 462,423 square meters and a utilization rate of 75.7% [4] Strategic Focus and Differentiation - Century Internet is focusing on domestic base IDC business, while GDS Services is expanding its international presence through its newly established entity, DayOne, which aims to leverage its domestic experience to enter Southeast Asia and Japan [6][7] - DayOne has made significant progress, securing new data center contracts in Thailand and Finland, with a total expected capacity exceeding 220 MW, aiming for a total pre-signed capacity of over 750 MW by the end of 2025 [7] Commercialization Challenges - The IDC service industry in China is facing challenges in its traditional business model, with increasing price sensitivity among users leading to declining cabinet prices [8] - Both Century Internet and GDS Services are exploring new business models, including the establishment of a Pre-REITs fund by Century Internet and the issuance of asset-backed securities by GDS Services [8][9] - The potential for REITs in the data center sector remains uncertain, with experts expressing skepticism about the ability to generate attractive returns for investors in the domestic market [10][11]

Core Insights - The article emphasizes the importance of understanding the structure and functionality of plagiarism detection systems in academia to enhance paper quality and reduce plagiarism rates [1] Group 1: Core Literature Database - The core literature database of plagiarism detection systems is likened to an "academic gene pool," directly influencing the authority of detection results [2] - Major detection platforms collaborate with academic journals, university thesis repositories, and conference proceedings to create a vast data network covering global academic achievements [2] - The update frequency of the literature database is a key indicator of system timeliness, with some platforms using real-time capture technology to include newly published papers within 24 hours [2] Group 2: Internet Resources - Internet resources have become a significant data source for detection systems, utilizing customized crawling technology to capture content from academic forums, blogs, and online document platforms [3] - The system faces challenges in data timeliness and semantic understanding, employing NLP technology to differentiate between direct citations and reasonable borrowing [3] - A platform's technical white paper reveals that its semantic model, trained using Transformer architecture, can accurately identify the boundary between paraphrasing and plagiarism with a misjudgment rate below 3% [3] Group 3: Detection Technology - Modern detection systems have evolved from simple keyword matching to a multi-dimensional detection framework [4] - The current mainstream technologies include basic layer (MD5 algorithm for text fingerprint comparison), advanced layer (sliding window technique for detecting similar segments), and intelligent layer (semantic mapping using BERT and other pre-trained models) [4] - A case study showed that a paper, despite altering word order and using synonyms to evade traditional detection, was identified by the semantic network model for logical similarities with three core arguments from other papers [4] Group 4: User Experience - The value of plagiarism detection systems extends beyond data coverage to the operability of reports, with quality platforms offering three main services [5] - These services include visual tracing of sources, contextual modification suggestions, and the ability for users to upload unpublished manuscripts to create personalized detection barriers [5] - A study indicated that using a self-built library feature in detection systems could reduce average duplication rates by 8.7%, particularly beneficial for specialized fields like patent technology or ethnographic research [5] Group 5: Technical Boundaries - Despite advancements, plagiarism detection systems still face limitations in database coverage, often overlooking non-public literature, multilingual resources, and dynamic data [6] - Leading platforms are exploring blockchain technology to address these challenges, such as establishing decentralized literature sharing alliances or collaborating with academic social platforms to access preprint data [6] Group 6: Future Outlook - With the rise of AI-generated content (AIGC), plagiarism detection systems are evolving to take on new roles [7] - A platform has developed an AIGC recognition algorithm that analyzes the "fingerprint features" of text generation models to distinguish between human-created and machine-generated content [7] - This technological evolution positions plagiarism detection systems as guardians of academic integrity rather than mere detection tools [7] Group 7: Understanding Detection Systems - For researchers, grasping the operational logic of plagiarism detection systems is essential for understanding the boundaries of academic expression [9] - As detection technologies become increasingly intelligent, returning to original value and reinforcing academic norms is fundamental to addressing plagiarism [9]

Group 1 - The 2025 Guyu Academy officially opened, featuring the launch of vertical application scenarios for enterprise large models in the software valley [2][3] - Since its establishment in 2020, Guyu Academy has nurtured 428 technology innovation enterprises and served over 500 companies [2] - The academy's 3.0 version adopts a dual-track model of "Talent Academy + Elite Academy," focusing on a full-chain cultivation from technical talent to entrepreneurs [2][3] Group 2 - This year's training system includes the "Talent Academy" focusing on software talent growth and the "Elite Academy" addressing entrepreneurs' development needs [3] - Guyu Academy has formed a matrix of 17 industry mentors, including academic leaders and industry experts, to provide comprehensive support [3] - The academy's first class featured prominent guests discussing technological innovations in 6G communication networks and the collaborative development trends of intelligent agents and robots [3] Group 3 - The software valley announced typical cases of enterprise large model vertical applications, with 7 companies successfully registered with the National Internet Information Office [4] - 15 key enterprises are deeply involved in utilizing large model technology to drive the transformation of traditional businesses [4]

Group 1 - ByteDance will disable third-party AI development software, including Cursor, starting June 30, and will promote its in-house tool Trae as a replacement [3] - BYD responded to the financial troubles of its Shandong dealer, stating that the dealer's issues stemmed from reckless expansion and leveraged operations, and that BYD is providing support [3] - Shein is preparing to shift its IPO plans from London to Hong Kong after lowering its valuation target to approximately $50 billion, down from $66 billion [5] Group 2 - SpaceX's Starship's ninth test flight was unsuccessful, but CEO Elon Musk noted significant progress compared to the previous flight [8] - Apple is planning a major software brand overhaul, renaming its operating systems based on the year rather than version numbers, starting with iOS 26 [8] - Geely's chairman Li Shufu emphasized a commitment to open competition and avoiding price wars in a recent internal speech [8] Group 3 - Didi's corporate version has become the first travel service provider for 3M in China, aiming to enhance travel management for foreign enterprises [15] - DJI is reportedly entering the robot vacuum market, with its first product expected to launch in June [10] - Honor has confirmed its entry into the robotics sector, showcasing a robot that can run at a speed of 4m/s [10] Group 4 - Horizon Robotics' Diguo Robot has completed a $100 million Series A funding round, with participation from various investment firms [17] - Toyota has invested $250 million in Joby Aviation, enhancing its capabilities in advanced design and production [17] - Motorola announced the acquisition of Silvus Technologies for $4.4 billion, pending regulatory approval [17] Group 5 - The first global standard for humanoid robot intelligence classification has been established, creating a framework for evaluating capabilities across four dimensions [22] - The pre-sale box office for the 2025 Dragon Boat Festival has surpassed 10 million, with "Mission: Impossible 8" leading the ticket sales [22][25] - The retail sales of passenger cars in China from May 1-25 reached 1.358 million units, a year-on-year increase of 16% [26]

扫码订阅 AIGC 产业日报， 2.【腾讯发布并开源混元语音数字人模型】腾讯混元发布并开源的语音数字人模型HunyuanVideo- Avatar，由腾讯混元视频大模型及腾讯音乐天琴实验室MuseV技术联合研发，支持头肩、半身与全身 景别，以及多风格、多物种与双人场景，面向视频创作者提供高一致性、高动态性的视频生成能力。 用户可上传人物图像与音频，HunyuanVideo-Avatar模型会自动理解图片与音频，比如人物所在环 境、音频所蕴含的情感等，让图中人物自然地说话或唱歌，生成包含自然表情、唇形同步及全身动作 的视频。（证券时报） 3.【Getty Images斥资数百万美元对抗AI文生图公司】视觉内容公司Getty Images首席执行官克雷格 ·彼得斯表示，这家图片授权公司正投入数百万美元资金，起诉Stability AI。彼得斯指出，以文生图 模型Stable Diffusion闻名的英国初创公司Stability AI及其他AI实验室，为商业利益窃取受版权保护 的内容训练AI模型。（新浪科技） 4.【韩国拟今年投入4800亿韩元开发AI相关产品和服务】韩国产业通商资源部周三表示，韩国今年将 斥资约 ...

Group 1 - The forum on "Cultural and Technological Integration" highlighted the importance of AI technology in empowering cultural development and innovation, emphasizing the need for a synergy between cultural and technological strengths for national development [2] - Experts discussed various topics including AIGC's role in artistic creation, language intelligence in cultural dissemination, and the transformation of cultural content production in the era of large models [2][3] Group 2 - AIGC is seen as a transformative force in art creation, providing new opportunities and enhancing creativity, according to experts [3][6] - The breakthrough in large model technology is leading to a threefold revolution in content creation: democratization of creation, automation of repetitive tasks, and equitable access to content creation tools [3] - The implementation of a "one-click translation" feature on platforms like Xiaohongshu demonstrates the practical application of AI in overcoming language barriers in cultural exchanges [4][5] Group 3 - The development of multilingual technology, particularly in machine translation, is crucial for breaking down cultural communication barriers [5][7] - The digital preservation technology developed by the Dunhuang Academy has achieved its first international output in Myanmar, marking a significant step in cross-border cultural heritage cooperation [8] - The rise of "super individuals" in the creative industry, empowered by AI tools, is expected to lead to profound changes in organizational structures and individual productivity [9][10]