Core Viewpoint - Luo Fuli has officially joined Xiaomi as the head of the MiMo team, focusing on advancing multi-modal spatial intelligence, which is a crucial step towards achieving true Artificial General Intelligence (AGI) [4][24]. Timeline of Events - Rumors about Luo Fuli joining Xiaomi surfaced at the end of last year, with reports indicating that Lei Jun offered her a salary in the millions to lead Xiaomi's AI efforts [5][10]. - Significant milestones include the launch of DeepSeek-V3 on December 25, followed by media reports of Xiaomi assembling a GPU cluster the next day [6][7]. - On December 31, 2024, Lei Jun publicly shared Xiaomi's ambitions in AI during a New Year's live stream [8]. Background of Luo Fuli - Luo Fuli holds a Bachelor's degree in Computer Science from Beijing Normal University and a Master's degree in Computational Linguistics from Peking University, where she has published papers in top NLP conferences [15]. - She has worked at Alibaba's DAMO Academy and later at DeepSeek, contributing to the development of various deep learning models [17]. - Her academic work has garnered over 11,000 citations, with approximately 8,000 citations added in the past year alone [18]. Xiaomi's AI Strategy - The MiMo initiative is central to Xiaomi's efforts in developing large models, with a focus on "spatial intelligence," which aims to bridge the gap between information AI and physical AI [24][26]. - Luo Fuli's role is seen as pivotal in connecting Xiaomi's AI research with academic institutions, particularly with her former mentor from Peking University [22]. Concept of Spatial Intelligence - Spatial intelligence is described as the ultimate goal of integrating information AI with physical AI, facilitating a seamless connection between the digital and physical worlds [26]. - This concept aligns with Xiaomi's broader ecosystem strategy, which encompasses people, vehicles, and home integration [26].

Core Insights - The article discusses the launch of a new 3D world generation model called Marble, developed by Fei-Fei Li's World Lab, which allows users to easily create personalized 3D worlds without needing a professional team [3][5][15]. Group 1: Model Features - Marble enables users to generate 3D worlds using simple text prompts, single images, or even short videos, making it accessible to the general public [5][17]. - The model includes built-in AI editing tools that allow users to make both minor and major modifications to their created worlds, such as removing objects or changing visual styles [21][25]. - Users can export their created worlds in two formats: high-fidelity Gaussian point clouds for rendering in browsers and triangle meshes for compatibility with various industry-standard tools [29][40]. Group 2: User Experience - The model has received positive feedback for its ease of use, with users quickly sharing their creations online [8][15]. - Marble supports multi-modal input, allowing for a variety of ways to create and edit 3D environments, which enhances user engagement and creativity [34][35]. Group 3: Future Developments - The team plans to focus on enhancing interactivity in future iterations of Marble, enabling real-time interactions within the created 3D worlds [36][37]. - The article emphasizes that Marble is a significant step towards achieving a "truly spatially intelligent world model," which will incorporate capabilities for dynamic interaction and evolution over time [40].

Core Insights - The article discusses the launch of Marble, a world model developed by WorldLabs, which allows users to create immersive 3D environments using a single image or text prompt [2][3][7]. Group 1: Product Features - Marble enables the generation of persistent, downloadable 3D environments, distinguishing it from other real-time models [28]. - Users can upload 2D images or 3D models (with a fee) to generate worlds, achieving high realism akin to AAA video games [14][16]. - The platform includes AI-native editing tools and a mixed 3D editor, allowing users to construct spatial frameworks and fill in visual details [31]. Group 2: User Experience - The initial testing phase showed impressive results, with the ability to create interactive 3D scenes from a single image [32]. - Users can input multiple images or short videos to create more accurate 3D worlds, enhancing the creative process [48]. - The editing process is iterative, allowing users to modify generated worlds extensively, from minor adjustments to major structural changes [49][50]. Group 3: Pricing and Accessibility - Marble offers three pricing tiers, with the highest tier costing $95 per month for generating up to 75 worlds, while the free version allows for 4 worlds [83][84]. - The Pro version is available for the first month at just $1, with standard pricing at $20 per month [85]. Group 4: Future Implications - The article emphasizes that Marble represents a significant step towards achieving spatial intelligence in AI, which is expected to unlock new applications in simulation and robotics [70][71]. - The integration of interactive capabilities in future world models is highlighted as a key opportunity for enhancing user engagement and application [69].

Core Insights - World Labs has officially launched its first commercial generative multimodal world model product, Marble, which supports a wider range of input modalities compared to its earlier preview version [2][4] - The concept of "spatial intelligence" introduced by Fei-Fei Li is highlighted as the next frontier in AI, emphasizing its importance in transforming how humans create and interact with both real and virtual worlds [25][29] Product Features - Marble allows users to generate a complete 3D world from various inputs such as images, text, or videos, enabling detailed and rich 3D environments [5][10] - The platform offers both a free version and a Pro version tailored for professionals in fields like game development, film effects, architecture, and robotics [8] - Key capabilities of Marble include: - Multimodal 3D world generation based on user inputs [10] - Support for multiple image inputs to create cohesive 3D spaces [13] - Advanced editing tools for fine-tuning generated worlds, including local adjustments and global style changes [18][20] - An experimental tool called Chisel for advanced users to manipulate the spatial layout of the generated worlds [21] - Options to expand and combine worlds for larger, more complex environments [22][26] - Export capabilities in various formats for use in professional software and platforms [23][24] Importance of Spatial Intelligence - Spatial intelligence is deemed crucial for AI's evolution, as it will reshape various fields such as storytelling, creativity, robotics, and scientific discovery [29][40] - Current AI models, while strong in language processing, lack a robust understanding of the physical world, which limits their practical applications [30][38] - The development of spatial intelligence can lower the barriers for creating 3D environments, enabling non-professionals to build and experience virtual worlds [41] - It is also essential for advancing embodied intelligence in robotics, allowing machines to interact safely and effectively with the physical world [41] - The potential applications of spatial intelligence extend to scientific research, healthcare, and education, enabling simulations and explorations beyond human perceptual capabilities [42][43]

Core Insights - The launch of Marble by World Labs marks the first public product in the realm of world models, showcasing significant advancements in spatial intelligence and AI capabilities [1][2][3] Group 1: Marble's Core Capabilities - Marble features three main capabilities: multimodal generation, AI-native world editing, and a practical production workflow [1] - It can reconstruct a complete 3D world from various inputs, including text, images, and videos, allowing for a seamless creative process [4][7] - Users can edit generated worlds similarly to real scenes, enabling continuous refinement and expansion of 3D environments [13][14] Group 2: Applications and Integration - Marble allows for the export of generated worlds into various formats compatible with industry-standard tools like Unreal, Unity, and Blender, facilitating integration into game and film production workflows [15][17] - The platform supports high-quality rendering and video generation, enhancing the usability of created worlds in real-world applications [18][19] Group 3: Theoretical Foundations and Future Implications - The development of Marble is rooted in the concept of spatial intelligence, which is essential for AI to interact with the physical world [20][21] - A mature world model must possess generative, multimodal, and interactive capabilities, which are foundational for future advancements in robotics and scientific research [22][23][24] - Marble's release signifies a step towards achieving comprehensive spatial intelligence, paving the way for future applications in automation and simulation [27]

Core Insights - Luo Fuli has officially joined Xiaomi as the head of the MiMo team, marking a significant step in the company's AI ambitions [1][3] - The evolution of intelligence is transitioning from the language domain to the physical world, aiming to unlock multi-modal spatial intelligence, which is crucial for achieving true Artificial General Intelligence (AGI) [4] Timeline and Background - Rumors about Luo Fuli joining Xiaomi surfaced last year, with reports indicating she was recruited by Lei Jun with a salary of tens of millions [5][10] - Key dates include the launch of DeepSeek-V3 on December 25, followed by media reports of Xiaomi assembling a GPU cluster [6][7] - On December 31, Lei Jun publicly shared Xiaomi's ambitions in AI during a New Year's live stream [8] Luo Fuli's Profile - Luo Fuli holds a Bachelor's degree in Computer Science from Beijing Normal University and a Master's in Computational Linguistics from Peking University, with numerous publications in top NLP conferences [15] - She has worked at Alibaba's DAMO Academy and DeepSeek, contributing to the development of various deep learning models [17] - Her academic work has garnered over 11,000 citations, with approximately 8,000 citations added in the past year alone [18] Xiaomi's AI Strategy - The MiMo project is central to Xiaomi's efforts in advancing large model research, with a focus on spatial intelligence [24] - Spatial intelligence aims to bridge the gap between information AI and physical AI, aligning with Xiaomi's ecosystem of people, vehicles, and homes [26]

Core Viewpoint - The article highlights the appointment of Luo Fuli as the head of Xiaomi's MiMo team, focusing on advancing spatial intelligence as a key step towards achieving Artificial General Intelligence (AGI) [1][3][23]. Group 1: Appointment and Background - Luo Fuli officially announced her role at Xiaomi on November 12, leading the MiMo team [1]. - She previously worked at DeepSeek and was reportedly recruited by Lei Jun with a salary of tens of millions [4][7]. - Luo has a strong academic background, with over 11,000 citations for her research papers, indicating her prominence in the field [17][18]. Group 2: MiMo Team and Objectives - The MiMo team aims to unlock multi-modal spatial intelligence, which includes perception, reasoning, generation, and action capabilities [4][23]. - Luo's vision aligns with the broader goal of integrating information AI with physical AI, creating a seamless connection between the digital and physical worlds [25]. Group 3: Industry Context and Implications - The concept of spatial intelligence has gained attention, with AI experts like Fei-Fei Li discussing its significance for embodied intelligence and AGI [24]. - Xiaomi's focus on spatial intelligence is seen as a strategic move, leveraging its ecosystem that includes people, vehicles, and homes [25].

Core Insights - The article discusses the launch of Marble, a multi-modal generative world model developed by Fei-Fei Li's "Spatial Intelligence" team, which is now available for public use, allowing users to create 3D worlds easily [3][4]. Features and Capabilities - Marble has undergone significant upgrades since its preview release, now supporting more generation methods, deeper editing capabilities, and a wider range of output formats, making it suitable for various professional applications such as game development, film effects, architectural design, and robotic simulation [4]. - The platform offers both a free version and a membership version, with differences in the number of worlds that can be generated, the range and depth of editing features, and commercial licensing [6]. Multi-Modal Input - Marble's core upgrade is its heavy multi-modal capability, allowing users to input various types of information, including multiple images, to create more refined 3D worlds [7][12]. - Users can provide different reference images for various areas of the world, enabling a more cohesive 3D space [7]. Editing and Iteration - Marble allows for iterative creation, where users can modify the generated world post-creation, including object removal, local adjustments, and structural reconfigurations [12][20]. - The platform supports input from multiple real-world photos or short video clips to inspire virtual world creation, with seamless transitions between views [14]. Expansion and Detail Enhancement - Users can expand specific areas of the generated world to fill in missing details and enhance clarity, particularly in areas that may have been less defined during initial generation [23][24]. - The platform also allows for the combination of multiple worlds based on user-defined relationships, facilitating the construction of larger spaces [25]. Output and Rendering - Marble enables users to export created worlds in various formats, including high-fidelity Gaussian Splat representations and triangle meshes, ensuring compatibility with industry-standard tools [27][28]. - Users can render worlds as videos with pixel-level control over camera movements and pacing, enhancing the creative process [31]. Collaborative Exploration - The company has launched Marble Labs to collaborate with artists, designers, and engineers to explore new creative paradigms and best practices [36]. - Marble is positioned as a step towards "spatial intelligence," with future plans to enhance interactivity and expand applications in simulation and robotics [37].

Core Insights - Baidu World Conference 2025 showcased the T5 domain controller developed by Beijing Xingyuan Intelligent Robot Technology Co., Ltd, highlighting its advanced capabilities in robotics [1] Company Overview - Xingyuan Intelligent focuses on multi-modal spatial intelligence and aims to create a universal embodied brain for the physical world [1] - The company was incubated by the Beijing Academy of Artificial Intelligence and possesses leading capabilities in embodied multi-modal large models and spatial intelligence [1] Product Details - The T5 controller features high computational power of 2070 TFLOPS, low power consumption, and high performance, supporting advanced algorithms like deep learning and computer vision [1] - The T5 is equipped with NVIDIA's latest Jetson Thor processor, enhancing its ability to meet the demands of real-time perception, intelligent decision-making, and precise control in robotics [1] Collaboration and Industry Impact - A deep collaboration has been established between Zhiyuan Robotics and Xingyuan Intelligent, showcasing the new generation industrial interactive embodied robot, Zhiyuan Spirit G2, at the conference [1] - The exhibition demonstrated the potential industry transformation brought by the technological breakthroughs represented by the T5 controller [1]

Core Insights - The article discusses the launch of a new 3D world generation model called Marble, developed by World Lab, founded by Fei-Fei Li, which is now open for public testing [1][3][34] - Marble allows users to easily create personalized 3D worlds using text, photos, or short videos, significantly lowering the barrier for entry in 3D modeling [4][15][35] Group 1: Features and Functionality - Marble can generate 3D worlds from simple text prompts or single images, and it supports multiple images from different angles to create a cohesive environment [17][35] - Users can customize their 3D spaces by uploading multiple images to define layouts and can edit elements within the generated worlds, such as removing objects or changing styles [19][21] - The platform includes an AI-native world editing tool, allowing for both minor and extensive modifications to the created environments [21][33] Group 2: Export and Compatibility - Users can export their created worlds in two formats: Gaussian point cloud for high fidelity rendering and triangle mesh for compatibility with various industry-standard tools [29] - The generated 3D worlds can also be rendered into videos, which can be enhanced with additional details and dynamic elements [31] Group 3: Future Developments - Marble aims to enhance interactivity in future updates, allowing users to not only create but also interact with elements within their 3D worlds [36][37] - The development team emphasizes that the current features are just the foundation, with plans to incorporate real-time interactions in the generated environments [36][37]