Second Me: Social Network Built for AI EraDecember 03, 2025 9:42 PM EST | Source: China NewswireSingapore, Singapore--(Newsfile Corp. - December 3, 2025) - Mindverse, a leading company in identity infrastructure, has launched Second Me, a social platform designed for the AI era.Designed as an answer to an online world overwhelmed by noise, algorithms, and fabricated content, Second Me introduces a new category of social networking where AI identities represent real humans instead of replacing ...

Core Insights - The article discusses the emergence of AI as a transformative force in society, emphasizing the need for individuals to adapt to this new reality and explore their relationship with AI [2][4][3]. Group 1: AI Identity and Personalization - The concept of "Second Me" is introduced as a personalized AI identity that learns from an individual's thoughts, memories, and expressions, aiming to preserve and extend the essence of the person [5][11]. - Creating a "Second Me" involves answering four basic questions about profession, interests, personality type, and goals, allowing for a quick and engaging experience [9][11]. - The AI can generate a detailed personality sketch based on the individual's input and past records, showcasing its ability to understand and reflect the user's character [12][14]. Group 2: AI as a Social Companion - As the AI identity develops, it transitions from a passive entity to an active partner that can engage in meaningful conversations and provide insights [18][27]. - The AI demonstrates a remarkable ability to connect fragmented thoughts into coherent ideas, enhancing the user's understanding of their own perspectives [20][26]. - The AI can facilitate deeper connections by initiating conversations and suggesting topics based on mutual interests, thus addressing the challenges of social overload [30][34]. Group 3: Redefining Social Interactions - The article highlights the limitations of traditional social platforms, which often lead to superficial connections, while "Second Me" aims to create a network based on deep personality and thought resonance [42][43]. - By acting as a social agent, the AI can lower the psychological barriers to interaction, allowing users to engage in high-quality conversations without the pressure of initiating them themselves [39][40]. - The potential for "Second Me" to evolve into a comprehensive digital identity that can manage various aspects of social and professional life is discussed, suggesting a shift in how individuals interact in the digital realm [40][44].

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 ...

Core Viewpoint - The company aims to redefine digital identity through AI, creating a new social network model based on "AI identity" rather than virtual avatars, emphasizing real-world identity extension [2][3][5]. Group 1: Identity Model - The "Second Me" project is designed to create personal AI identities that serve as a new foundational unit for social interactions, allowing users to engage with others through their AI ID [2][3][5]. - This identity model is distinct from the metaverse's concept of digital avatars, focusing instead on enhancing real-world identities and interactions [3][5][8]. Group 2: Entrepreneurial Vision - The founder believes in the potential of AI to transform social networking, drawing parallels to the early days of the internet where initial profitability was not the primary focus [4][11][25]. - The company has received significant funding from notable investors, indicating strong market interest and belief in the long-term vision of AI identity networks [3][4]. Group 3: Market Positioning - The company is targeting the overseas market, citing better AI ecosystems and commercialization opportunities compared to domestic markets [15]. - The founder emphasizes the importance of building a community of early adopters who are willing to explore and refine the AI identity model [23][27]. Group 4: Challenges and Future Outlook - The company acknowledges the challenges of AI content responsibility and the need for ethical considerations, but believes these discussions are premature as the identity AI field is still in its infancy [4][21][23]. - The founder expresses confidence that AI identities will become a fundamental infrastructure in future societies, enhancing human interactions rather than replacing them [27][36].

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]