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央广时评丨从你我做起 守护安全数字生活
Yang Guang Wang· 2025-09-16 14:27
Group 1 - The core issue of cybersecurity risks is highlighted, emphasizing the need for safeguarding digital lives as technology becomes deeply integrated into daily life [1][4] - The implementation of laws such as the Cybersecurity Law, Data Security Law, and Personal Information Protection Law establishes a legal framework for information security in China [3] - The report indicates that as of June this year, the number of internet users in China reached 1.123 billion, with an internet penetration rate of 79.7%, underscoring the potential impact of cybersecurity risks on personal privacy and societal stability [4] Group 2 - The importance of individual responsibility in protecting personal privacy and financial security is stressed, with the notion that everyone is the first line of defense against cybersecurity threats [4][7] - Recommendations for maintaining cybersecurity include setting strong passwords, being cautious with app permissions, and regularly cleaning up unused service authorizations [7] - The theme of this year's cybersecurity awareness week, "Cybersecurity for the People, Cybersecurity Relies on the People," emphasizes collective participation in safeguarding network security [7]
一个极具争议的开源项目,「微信克隆人」火了!
菜鸟教程· 2025-05-15 08:33
Core Viewpoint - The article discusses the WeClone project, which allows users to create personalized digital avatars using their WeChat chat history, enabling a form of digital immortality through language model fine-tuning and voice cloning [2][4][18]. Group 1: WeClone Overview - WeClone utilizes personal WeChat chat records to fine-tune large language models (LLMs), creating a digital avatar that mimics the user's speech patterns and style [4][12]. - The project offers a comprehensive solution from text generation to voice cloning, allowing the digital avatar to not only speak but also sound like the original person [6][18]. Group 2: Core Features - The core functionality includes exporting WeChat chat records, formatting them for model fine-tuning, and supporting low-resource fine-tuning for models ranging from 0.5B to 7B parameters, such as ChatGLM3-6B and Qwen2.5-7B [12][19]. - Model training requires approximately 16GB of GPU memory, making it efficient for small sample low-resource scenarios [13]. Group 3: Voice Cloning - The WeClone-audio module can clone voices with a similarity of up to 95% using just 5 seconds of voice samples, enhancing the realism of the digital avatar [15]. Group 4: Multi-Platform Deployment - WeClone supports deployment across multiple messaging platforms, including WeChat, QQ, and Telegram, allowing users to interact with their digital avatars in real-time [16]. Group 5: Potential Applications - Possible applications include personalized assistant services, where the digital avatar can handle messages and daily tasks, and content creation, enabling the rapid generation of personalized text content [17].