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那些被身体囚禁的灵魂,终于等来了“越狱”密钥
3 6 Ke· 2025-05-30 12:19
Group 1 - Neuralink, founded by Elon Musk, secured $600 million in funding, setting a record for brain-computer interface financing globally [1] - The FDA granted Neuralink's device "breakthrough medical device" designation, indicating positive recognition for its clinical application prospects [1] - The brain-computer interface (BCI) technology aims to allow direct control of computers and devices through thought, potentially impacting millions of people in the future [2][3] Group 2 - The concept of brain-computer interfaces was introduced in 1973, with significant advancements made since the establishment of Neuralink in 2016 [2] - The industry is witnessing an influx of participants, including companies like BrainCo, Biorobotics, and others, focusing on invasive BCIs for central nervous system diseases [2][4] - By 2025, invasive BCIs are expected to achieve significant breakthroughs, transitioning from laboratory research to clinical trials [2][4] Group 3 - In 2023, several hospitals in China reported a surge in clinical trials for wireless implanted BCIs, with successful surgeries conducted on patients with various conditions [4][12] - Companies like MicroLink and Step Medical are developing flexible electrodes that enhance the safety and efficacy of BCI systems [8][9] - The development of flexible electrodes is crucial for minimizing damage to brain tissue and improving signal quality [7][8] Group 4 - The global market for BCIs in serious medical applications is estimated to be between $15 billion and $85 billion [10] - Investment in the BCI sector is increasing, with significant funding rounds reported in early 2023, indicating a growing interest in the commercialization of this technology [10][19] - The Chinese government is actively working on regulatory frameworks for BCI medical devices, which is expected to facilitate faster clinical applications [14][20] Group 5 - The clinical applications of BCIs are primarily focused on motor control, sensory restoration, and neural modulation [15] - Companies are exploring various use cases, including helping paralyzed patients regain control over their movements and improving communication for those with speech impairments [11][15] - The industry is still in the early stages of development, with many technologies remaining in experimental phases [17][18]
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].