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LibTV Launches AI Video Creation Platform for Creators and Agents 🔑 Key Details: - LibTV, launched by LiblibAI, is a professional video creation platform for both human creators and AI agents. - It offers a comprehensive toolset for video project management including script writing, scene planning, and real-time editing. - Users benefit from advanced AI capabilities such as multi-angle shots, lighting control, and all-in-one model hub for video generation. - Agents like OpenClaw can leverage LibTV's skills for automated video production, allowing for rapid content creation. 💡 How It Helps: - Video Creators: Access robust video production tools enhancing creativity and control over projects. - AI Developers: Integrate LibTV's capabilities into personal agents for seamless automation in video tasks. 🌟 Why It Matters: LibTV is set to reshape the video creation landscape, empowering both human creators and AI agents with advanced collaborative tools. With its competitive pricing and extensive functionalities, it positions itself as a leader in the AI-driven video production market, fostering innovation and enabling a community where creativity thrives alongside automation. Original Chinese article: mp.weixin.qq.com/s/C7xUcSWVXLYf… English translation via free online service: translate.google.com/translate?hl=e… @liblibai_art Video Credit: The original article

MiniMax M2.7: Pioneering Self-Evolving AI Models 🔑 Key Details: - MiniMax M2.7 enables self-evolution in AI, making it the first model to iterate its architecture autonomously. - It excels in software engineering tasks, achieving scores nearing top-tier models like Opus in SWE-Pro benchmarks. - Office productivity is enriched with higher ELO scores, enhancing document editing capabilities in Excel, PPT, and Word. - M2.7 also showcases strong emotional intelligence and character maintenance in interactive environments. 💡 How It Helps: - AI Developers: M2.7 provides a framework for autonomous optimization and iterative experimentation in AI model training. - Software Engineers: Enhanced debugging and project delivery capabilities substantially reduce system recovery times. - Marketing Teams: Engaging platforms like OpenRoom encourage innovative interactions, fostering user engagement. 🌟 Why It Matters: The launch of MiniMax M2.7 signifies a notable advancement in AI model capabilities, enhancing productivity and interactivity while paving the way for autonomous evolution in AI systems. This positions MiniMax competitively in the rapidly evolving landscape of AI, driving innovation and user engagement across various sectors. Original Chinese article: mp.weixin.qq.com/s/Xfsq8YDP7xkO… English translation via free online service: translate.google.com/translate?hl=e… @MiniMax__AI Video Credit: The original article

Qwen3.5-Max-Preview Unveiled: Alibaba's AI Model Shines 🔑 Key Details: - Qwen3.5-Max-Preview, Alibaba's flagship model preview, scores 1464 in the global LM Arena ranking. - It ranks 6th globally and 1st in China, showcasing exceptional performance in AI evaluation. - The model excels in specific tasks, placing 5th in math and 10th in expert-level text capabilities. 💡 How It Helps: - AI Developers: Qwen3.5-Max-Preview offers cutting-edge performance metrics and task capabilities, enhancing model development. - Researchers: The model’s strong evaluation scores facilitate benchmarking against global AI standards. 🌟 Why It Matters: The launch of Qwen3.5-Max-Preview positions Alibaba prominently in the AI landscape, reinforcing its commitment to innovation and global competitiveness. This achievement not only boosts the visibility of its AI models but also sets a benchmark for performance, potentially influencing trends in AI development and deployment. Original Chinese article: mp.weixin.qq.com/s/wx2hhUdMJ4Oa… English translation via free online service: translate.google.com/translate?hl=e… @AlibabaGroup Video Credit: The original article

⭐ Today’s China AI Native Industry Insights include: 1. Xiaomi Unveils MiMo-V2-Pro: A Flagship Model for the Agent Era 2. Qwen3.5-Max-Preview Unveiled: Alibaba's AI Model Shines 3. MiniMax M2.7: Pioneering Self-Evolving AI Models 4. LibTV Launches AI Video Creation Platform for Creators and Agents 🔍 Dive into the in-depth insights in the thread below. Here’s what’s shaping the future of AI—and why it matters: 👇 Video Credit: LiblibAI

Xiaomi Unveils MiMo-V2-Pro: A Flagship Model for the Agent Era 🔑 Key Details: - Xiaomi released the MiMo-V2-Pro, designed for high-intensity Agent work, featuring over 1T parameters and a hybrid attention architecture. - The model ranks eighth globally in AI performance according to Artificial Analysis. - MiMo-V2-Pro excels in various Agent tasks, outperforming its predecessor and competitors. 💡 How It Helps: - AI Developers: MiMo-V2-Pro's robust API and extensive context support empower developers to create advanced applications. - Product Managers: Enhanced performance metrics will improve user satisfaction and broaden market appeal. 🌟 Why It Matters: The introduction of MiMo-V2-Pro signifies Xiaomi's commitment to pushing boundaries in AI capabilities, positioning itself as a competitor in the growing landscape of Agent-based applications. By lowering access costs while providing powerful AI tools, Xiaomi not only enhances its market share but also catalyzes innovation across various sectors. Original Chinese article: mp.weixin.qq.com/s/GWseVZ0yDdew… English translation via free online service: translate.google.com/translate?hl=e… @XiaomiMiMo Video Credit: The original article

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Mistral AI Launches Forge: Tailored AI Models for Enterprises 🔑 Key Details: - Forge enables enterprises to build AI models using proprietary knowledge, unlike generic models trained on public data. - Mistral AI collaborates with organizations like ASML and the European Space Agency to customize AI for complex systems. - Supports model training through pre-training, post-training, and reinforcement learning for enhanced operational alignment. - Offers flexible architectures, including dense and mixture-of-experts models, optimizing performance and cost. 💡 How It Helps: - Enterprise Developers: Create tailored AI agents that navigate internal systems with greater accuracy. - Compliance Officers: Ensure models meet regulatory and compliance requirements through controlled training. - Software Engineers: Enhance productivity by training AI on specific coding practices and documentation. 🌟 Why It Matters: Mistral AI's Forge represents a pivotal shift in enterprise AI by empowering organizations to leverage their unique knowledge structures. This innovation not only enhances operational efficiency but also aligns AI capabilities with evolving internal policies, reinforcing strategic control and competitive advantage in increasingly data-driven industries. Read more: mistral.ai/news/forge @MistralAI Video Credit: Mistral AI

🌟 Today’s Global AI Native Industry Insights include: 1. Google Labs Unveils 'Vibe Design' with Stitch for AI-Driven UI Creation 2. OpenAI Unveils GPT-5.4 Mini and Nano for Enhanced Efficiency 3. Claude Cowork Launches Dispatch: Run Your AI Agent on Desktop, Control from Phone 4. Mistral AI Launches Forge: Tailored AI Models for Enterprises 🔍 Dive into the in-depth insights in the thread below. Here’s what’s shaping the future of AI—and why it matters: 👇 Video Credit: Google

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13. From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation 🔑 Keywords: Reinforcement Learning, PRIMO R1, Video MLLMs, Zero-Shot Generalization 💡 Category: Robotics and Autonomous Systems 🌟 Research Objective: - The paper introduces PRIMO R1, aiming to transform video MLLMs from passive "Observers" into active "Critics" for more accurate process supervision in long-horizon robotic manipulation. 🛠️ Research Methods: - Utilizes outcome-based Reinforcement Learning to encourage Chain-of-Thought generation for better progress estimation. - Structures temporal input in video sequences by anchoring initial and current state images. 💬 Research Conclusions: - PRIMO R1 achieves state-of-the-art performance, significantly reducing mean absolute error compared to existing models and yielding notable improvements over larger MLLMs. - Demonstrates strong zero-shot generalization and sets a new benchmark on RoboFail with 67.0% accuracy, outperforming models like OpenAI o1. 👉 Paper link: huggingface.co/papers/2603.15…

📚 AI Native Daily Paper Digest - 2026-03-18🌟 Follow @AINativeF for the latest insights on AI Native. Covering AI research papers from Hugging Face, featured in the image. 💡 Stay updated with the latest research trends and dive deep into the future of AI! 🚀 #AI #HuggingFace #AIPaper #AINative #AINF — Appendix: Today's AI research papers — 1. InCoder-32B: Code Foundation Model for Industrial Scenarios 2. Qianfan-OCR: A Unified End-to-End Model for Document Intelligence 3. WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation 4. Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation 5. Online Experiential Learning for Language Models 6. WiT: Waypoint Diffusion Transformers via Trajectory Conflict Navigation 7. GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent 8. SegviGen: Repurposing 3D Generative Model for Part Segmentation 9. SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models 10. Efficient Reasoning on the Edge 11. Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium 12. M^3: Dense Matching Meets Multi-View Foundation Models for Monocular Gaussian Splatting SLAM 13. From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation