Group 1: AI and Copyright Developments - Meta has stated that it does not currently use unpublished user photos to train its AI models, despite previous reports suggesting otherwise [2][3] - Recent U.S. court rulings have determined that using published works to train AI models can fall under "fair use," with two cases involving Anthropic and Meta providing legal clarity [4][5] - The rulings indicate that while AI companies may have some leeway, the methods of data collection must still be scrutinized to avoid infringement [4] Group 2: Regulatory Changes - The revised Anti-Unfair Competition Law in China will take effect on October 15, 2025, aiming to curb "involution" in competition and establish fair competition review systems [5][6] - The new law prohibits large enterprises from abusing their dominant positions to delay payments to small and medium-sized enterprises [6] - The law also restricts platform operators from forcing other businesses to comply with pricing rules that disrupt market order [6] Group 3: Personal Information Protection - The National Cybersecurity Center reported that 45 mobile applications were found to be illegally collecting and using personal information without user consent [7] - In Shanghai, authorities are actively addressing the misuse of AI technologies, particularly focusing on the protection of personal information rights [8] - Ongoing enforcement actions aim to combat AI misuse, including the generation of inappropriate content and violations of personal data rights [8]

Group 1 - The core issue revolves around whether using human works to train AI without authorization constitutes copyright infringement, with recent U.S. court rulings providing new references for this ongoing debate [1][2] - The rulings from the U.S. Northern District Court of California found that both Anthropic and Meta's use of copyrighted works for AI training fell under the "fair use" doctrine, emphasizing that the purpose of use was transformative and did not directly replace the original works [2][3] - The court highlighted that the determination of "fair use" is nuanced and depends on the legality of the data acquisition methods, with a distinction made between legal and illegal sources [4][5] Group 2 - In the Meta case, the court noted that the AI training was for a highly transformative purpose, as it was not intended for reading or disseminating the original works, but rather for generating tasks like writing code or emails [2][3] - The court also emphasized the importance of market impact, stating that if AI outputs could harm the market for original works, it might not qualify as fair use, although this was not proven in the Meta case [7][8] - The Anthropic case similarly recognized the transformative nature of AI training but differentiated between legal and illegal data sources, ruling that using data from illegal sources like "shadow libraries" constituted infringement [6][7] Group 3 - The rulings indicate a cautious approach by the courts, as they do not grant AI companies a blanket permission to use copyrighted works for training, stressing that each case must be evaluated on its own merits [3][6] - The distinction between the two cases lies in the treatment of data sources, with Meta's use of "shadow libraries" being viewed more leniently due to its failed attempts to obtain licenses, while Anthropic's establishment of a permanent internal library from illegally sourced materials was deemed infringing [5][7] - The ongoing legal disputes extend beyond literature, with similar copyright issues emerging in the film and visual arts sectors, indicating a broader industry concern regarding AI training practices [8]

Core Viewpoint - Getty Images has positioned itself as a staunch defender of artists' rights in the ongoing AI copyright disputes, emphasizing the high costs associated with litigation against AI companies [2][3] Group 1: Getty Images' Actions and Statements - Getty Images banned users from uploading AI-generated images in 2022 and later launched a socially responsible image generator while suing an AI company for not compensating artists [2] - CEO Craig Peters revealed that Getty has spent "millions of dollars" on a copyright lawsuit against Stability AI, highlighting the prohibitive costs of pursuing every infringement case [2] - Getty filed a lawsuit against Stability AI in 2023, claiming that the company used over 12 million images from Getty's library without permission to train its model [2][3] Group 2: AI Companies' Defense and Industry Implications - AI companies argue that their practices of scraping images for model training fall under "fair use," which is protected by copyright law [3] - Stability AI and other AI firms assert that requiring them to pay licensing fees would hinder technological innovation and the growth of the AI industry [5] - Peters criticized this stance, arguing that rights holders should not bear the high costs of litigation against claims that paying artists would stifle innovation [5] Group 3: Public Reactions and Broader Context - The comments from Peters coincided with backlash against Nick Clegg, former Meta global affairs head, for reiterating the AI industry's argument that requiring artist consent would harm the sector [5][6] - Critics have drawn parallels between the current arguments of AI companies and past defenses used by illegal file-sharing platforms like Napster [6] - Getty has submitted recommendations to the Trump administration, urging it to reject AI companies' proposals for exemptions that would allow them to avoid paying artists for their work [7][8]

图片来源： Freepik 在线平面设计平台 Freepik 于周二发布了一款新型"开放" AI 图像模型，该公司称该模型仅基于商业授权、"适合工作环境"的图片进行训练。 该模型名为 F Lite ，包含约 100 亿个参数——参数是构成模型的内部组件。 据 Freepik 透露， F Lite 是与 AI 初创公司 Fal.ai 合作开发，并利用 64 台 Nvidia H100 GPU 耗时两个月训练完成。 F Lite 加入了基于授权数据训练的小型但不断增长的生成式 AI 模型行列。 推特原文：我们已秘密研发数月！终于能分享它，感觉太棒了！ • 常规版：更可预测且忠于提示，但艺术性较低： https://t.co/MyWsKer9Ir • 纹理版：更为混乱且易出错，但能呈现更佳的纹理效 pic.twitter.com/GX5mIpYE8O (@javilopen) 2025 年 4 月 29 日 生成式 AI 正成为针对 OpenAI 和 Midjourney 等 AI 公司的版权诉讼核心。 这类技术常利用来自网络公开渠道的海量内容（包括受版权保护的材料）进行开发。多数开发此类模型的公司主张合理使用原则 ...