AI Everywhere。 我们正进入一个万物皆 AI 的世界。 从《钢铁侠》中无所不能的助理「贾维斯」（him），到电影《她》里善解人意的情感伴侣「萨曼莎」（her），这些一度只存在于科幻中的场景，正在 逐渐成为现实。 AI 承诺了极致的效率，AI 展现出了前所未有的强大能力。 面对这样一个全新的「物种」，有一个问题我们始终无法回避：「我」（me），该如何与这个 AI 世代共处？ 类似「AI 会取代我的工作吗」「AI 会毁灭人类吗」的讨论，其背后都指向了同一种不安——「我」的存在价值，正面临前所未有的挑战。 心识宇宙（Mindverse）试图用 Second Me 来回应这个问题。 简单来说，Second Me 是一个专为个体打造的「AI 身份」。它的特别之处在于，并没有创造一个虚构的角色，而是通过持续学习你的观点、思想、记忆 和表达方式，用 AI 的形式，完整地保存和延伸一个真实的「我」。 克隆一个「AI 版」的自己，究竟是怎样的体验？当社交的起点不再是工具，而是「我」，我们固有的连接方式又将迎来怎样的变革？从 Second Me 身 上，我们或许可以看到 AI 时代的社交的新可能，甚至是一些破局的新可 ...

Group 1: Generative AI Developments - OpenAI launched two new models, GPT-5.1 Pro and GPT-5.1-Codex-Max, with the former focusing on emotional and intellectual capabilities, while the latter is the first coding model to support a "compression" mechanism [1] - GPT-5.1-Codex-Max can autonomously work for over 24 hours, processing millions of tokens, with a 30% reduction in thinking tokens compared to previous versions, achieving a score of 77.9% on SWE-bench Verified [1] - Internal tests show that 95% of OpenAI engineers use Codex weekly, leading to a 70% increase in team Pull Request numbers [1] Group 2: Image Generation and Processing - Google introduced the Gemini 3 Pro Image preview, a reasoning model that performs internal reasoning before generating images [2] - This model supports 64K input tokens and 32K output tokens, capable of producing images with resolutions between 1K and 4K, and can combine up to 14 input images into one output [2] - It integrates Google search capabilities for up-to-date knowledge, excelling in complex multi-turn image generation editing and high factual accuracy creative tasks [2] Group 3: 3D Technology Advancements - Meta released the SAM 3D family, including SAM 3D Objects and SAM 3D Body, which can convert 2D image segmentation results into 3D models, even in the presence of occlusions [3] - SAM 3D features concept segmentation capabilities, achieving a 47.0% accuracy in the LVIS zero-shot segmentation task, surpassing the previous state-of-the-art (SOTA) of 38.5% [3] - SAM 3D Objects utilizes a 1.2 billion parameter flow-matching Transformer, outperforming other leading models by at least five times in direct comparison tests with human users [3] Group 4: Browser Innovations - QQ Browser's new version v19.8.5 introduces intelligent tab grouping and AI features for multitasking without interference [4] - The new web podcast feature supports AI podcasts and native reading with smart switching, allowing for precise 15-second navigation and five-speed adjustments [4] - The menu and functionality areas have been upgraded, with common tools like bookmarks and history easily accessible at the top, and all fixed function modules supporting drag-and-drop sorting [4] Group 5: Digital Identity Solutions - Second Me provides users with an independent ID and domain in the digital world, acting as an "AI ID" for expression and communication [5] - The product uses AI for precise matching of interests, focusing on finding individuals with detailed similarities rather than just shared interests, reducing communication costs in the industry [5] - Users can record fragmented notes and ideas, allowing their digital persona to continuously add memories and feedback for more natural and accurate expression [5] Group 6: Smart Wearable Technology - Lumia launched the world's first smart earrings, Lumia 2, weighing less than 1 gram and being five times smaller than AirPods, capable of real-time monitoring of head blood flow [7] - The product includes features for tracking sleep, body temperature, menstrual cycles, and overall health status, utilizing patented SwitchBack technology for compatibility with any earrings [7] - Lumia secured an additional $7 million in investment and $5.1 million in government funding, bringing total financing to $17.2 million, with its blood flow tracking technology published in top peer-reviewed journals [7] Group 7: AI Research and Development - Yann LeCun announced his departure from Meta after 12 years to pursue entrepreneurship focused on advanced machine intelligence (AMI) [8] - The new company's goal is to drive the next major AI revolution, enabling systems to understand the physical world, possess long-term memory, and exhibit reasoning capabilities [8] - Meta will partner with the new company, as LeCun emphasizes the importance of world model research, arguing that large language models (LLMs) cannot truly understand the physical world [8] Group 8: Space Computing Initiatives - NVIDIA has sent its H100 GPU into space for the first time, while Google plans to launch 81 satellites equipped with TPUs by 2027, intensifying the space computing competition [9] - China's CAS Tian-Suan has initiated the "Tian-Suan Plan," aiming to deploy a mega-scale space supercomputing center in sun-synchronous orbit, consisting of energy, computing, and communication modules [9] - By mid-2026, CAS Tian-Suan aims to achieve its first GPU supercomputing node in space, targeting a total computing power of 10 EOPS, powered by over 100MW of zero-carbon energy through flexible photovoltaic arrays [9] Group 9: AI Market Insights - NVIDIA reported a record Q3 revenue of $57 billion, with data center business revenue soaring 66% year-over-year to $51.2 billion, and provided a revenue guidance of $65 billion for the next quarter [10] - Jensen Huang refuted the "AI bubble" theory, highlighting a historic shift in computing paradigms from general CPUs to accelerated GPUs, with genuine and sustained demand for computing power [10] - The proportion of GPU-accelerated computing in the global TOP500 supercomputing list surged from 10% six years ago to 90%, with NVIDIA's gross margin around 70%, and global AI infrastructure investment projected to reach $3-4 trillion by 2030 [10]

最近，都在玩一个非常有趣的AI社交产品。 对，AI+社交，听着就很抽象。 这个产品叫Second Me，现在还很小众。 自己玩了快一周半的时间，甚至找朋友白嫖了一些他们的NFC贴纸。 我现在属于是跟一些别的领域的朋友见面，基本要聊到最近有啥好玩的AI产品，我就会掏出我的手机，让他们来碰一下我贴在手机背面的NFC。 说，你先加一下我的AI分身，这个好玩。 他的玩法其实特别简单，在Second Me上建一个自己的AI分身，然后，让自己的AI分身，跟别人的AI分身聊天。 对，你的AI，跟别人的AI，聊天破冰。 跟很多AI陪伴型产品不同的是，别人的AI分身后面不是一个一个的虚拟角色。 而是也是，一个个现实中，真实的人。 这个产品刚刚上线也没多久，应用商店里就可以下载。 下载这步没啥说的，就是强调一下，记得认准下面这个橙色和紫色小人图标的app。 因为我当初搜的时候，不知道为啥，搜到了一些奇奇怪怪的东西。。。 作为一个I人，有情感地朗读文本对我来说还是有一点羞耻的。 不过好在它的克隆效果还不错。 至于为啥，不重要，反正你们别下错就行。。。 正常登陆之后，就可以制作自己的AI分身了。 一点进来，会看到一个很柔和的淡紫色的 ...

社交网络里面每一个人都有一个数字身份。Second me要做的就是这个身份模型。 "我就是想把Facebook重新做一遍。"前Meta员工、心识宇宙创始人陶芳波开门见山地对凤凰网科技表示。 在几乎所有AI创业者都在追逐"Agent（智能体）"浪潮的当下，他却选择了一条更激进、也更浪漫的路：用AI重塑人的数字身份，构建一个以"AI身份"为 节点的下一代社交网络。 今年外滩大会期间，凤凰网科技与陶芳波有过一次深入交流，陶芳波提出的"身份模型"，即通过开源项目"Second Me"实现个人AI身份，让AI成为对抗超 级智能的"第二自我"。 陶芳波曾在美国微软研究院、NASA 、Facebook Research 等企业与机构从事 AI 研发工作，并在阿里巴巴达摩院创建了神经符号实验室。2022年创立 Mindverse 心识宇宙，获红杉、线性、Square Peg 等亿级融资。 2024年，心识宇宙推出了个人AI助手Me.bot，要做每一个人的"AI身份"。2025年，心识宇宙开源了Me.bot的核心技术"Second Me"，用户可以下载到本 地，创造出代表自己的Agent，是今年 GitHub 平台上关注度增速 ...

Core Viewpoint - The article discusses the innovative approach of Mindverse in creating AI identity models that reflect users' preferences, values, and memories, aiming to enhance user interaction with AI and digital platforms [6][7][8]. Group 1: AI Identity Models - Mindverse is developing a third type of AI assistant, termed "identity model," which aims to replicate a user's "second self" by fine-tuning a base language model with user-specific data [6][8]. - The identity model is designed to understand and represent users in various applications, allowing for more personalized interactions with AI [7][8]. - The company believes that having an identity model can significantly improve efficiency in online interactions, as it can autonomously initiate tasks and manage communications [8][11]. Group 2: User Engagement and Product Development - The app Me.bot, launched in May 2022, has attracted nearly one million users and is designed to help users develop their AI identity models through daily interactions [8][11]. - Mindverse has initiated an open-source project called Second Me, which has gained significant traction on GitHub, indicating strong community interest in the identity model training methods [8][33]. - The company emphasizes the importance of user engagement by integrating the AI into daily life, encouraging users to record their experiences and thoughts [20][21]. Group 3: Technological Insights - The approach to training identity models is inspired by human cognitive processes, where the model learns to index and connect relevant information rather than storing fragmented knowledge [7][22]. - Mindverse's identity models are trained daily to keep up with users' evolving experiences and self-perceptions, mirroring how human memory works [29][30]. - The cost of training an identity model is relatively low, with estimates around one dollar per training session for a model with 7 billion parameters [30]. Group 4: Market Potential and Future Directions - The identity model can potentially replace traditional user interactions with digital platforms, allowing for more seamless and efficient communication [31][37]. - Mindverse is exploring monetization strategies, including charging users for identity services and collaborating with platforms to understand user preferences [36][37]. - The company anticipates that as AI technology matures, the integration of identity models into existing digital ecosystems will become more prevalent, enhancing user experience [32][36].

Group 1 - The development of AI Agents has accelerated significantly since 2025, with notable acquisitions and funding rounds, such as OpenAI's $3 billion acquisition of Windsurf and Anysphere's $900 million funding round, valuing Cursor at $9 billion [1][3] - The emergence of various platforms and tools, such as MindOS and Second Me, indicates a growing trend towards creating personalized AI Agents, reflecting a shift in the industry towards more accessible development [4][6] - The definition of AI Agents has evolved, now characterized by their ability to perform tasks independently, driven by large language models, and equipped with memory systems and user interaction interfaces [6][8] Group 2 - The integration of reasoning models and Reinforcement Fine-Tuning (RFT) technology has enabled AI Agents to learn and adapt in specific domains, marking a significant advancement in their capabilities [8][15] - The distinction between traditional reinforcement learning Agents and modern AI Agents lies in their ability to learn from environments, with the latter now capable of autonomous learning and exploration [12][14] - The competitive landscape for AI Agents is shifting, with companies like Cursor and Windsurf leading the charge due to their deeper understanding of environments and user needs [18][20] Group 3 - The rise of AI Agents has created both opportunities and challenges for entrepreneurs, as the market becomes saturated with service-oriented Agents, making it difficult for new entrants to find unique value propositions [22][23] - The importance of model capabilities, engineering skills, and data barriers is highlighted as key competitive advantages in the AI Agent space, with the performance of models like Claude Sonnet 3.7 being pivotal for success [25][28] - The future of AI Agents may see a convergence of programming tools and general-purpose Agents, as companies like Cursor and Windsurf begin to integrate broader functionalities [31][55] Group 4 - The industry is experiencing a rapid pace of development, with a shift towards faster execution and less emphasis on detailed planning documents, reflecting a more agile approach to product development [64][66] - Despite the excitement around AI Agents, significant challenges remain in achieving widespread adoption and understanding user needs effectively, indicating that the journey towards mainstream usage is still ongoing [68][71] - The MCP protocol, which governs how AI Agents access external information, is still in its early stages and requires industry-wide acceptance to fully realize its potential [71][73]