# Think-Then-React：AI预判人类动作的新范式 人民大学高瓴团队开发的Think-Then-React (TTR)框架（ICLR 2025）采用"先思考再反应"的创新方法，显著提升了AI预判人类动作意图的能力。该框架通过解耦空间-位姿编码和运动-文本联合预训练，使AI能够理解复杂的人类动作，并生成恰当反应。实验表明，TTR在各项指标上远超现有方法，FID仅为1.942。该框架有望应用于智能陪伴机器人、虚拟社交助手和人机交互游戏等领域，为具身智能研究开辟新方向。
NVIDIA's GPU Technology Conference (GTC) stands as the company's premier annual event showcasing cutting-edge innovations in AI, accelerated computing, and graphics technologies. Highlighted by CEO Jensen Huang's keynote, GTC features comprehensive technical sessions, hands-on training, and exhibitions from industry partners. The conference typically spotlights advancements in AI architecture, enterprise solutions, robotics, and visualization technologies. GTC announcements consistently shape industry direction, influencing AI research trajectories, hardware decisions, and software development priorities across multiple sectors worldwide.
Google DeepMind has introduced Gemini Robotics and Gemini Robotics-ER, two advanced AI models designed to revolutionize robotics with powerful vision, language, and action capabilities. Built on Gemini 2.0, these models enable robots to understand natural language instructions, adapt to changing environments, and perform complex physical tasks with impressive precision. With partnerships involving Apptronik, Boston Dynamics, and Agile Robots, Gemini Robotics is set to redefine automation, bringing smarter and more versatile robots into real-world settings.
动态Tanh(DyT)是由何恺明、杨立昆等顶尖研究者提出的创新方法，仅需9行代码即可替代Transformer架构中传统的归一化层。DyT通过公式γ·tanh(αx)+β实现，其中α为可学习参数控制缩放因子。DyT无需计算统计信息，参数更少，计算效率显著提高（推理阶段比RMSNorm快52.4%，训练阶段快42.2%）。在视觉、语言、生物信息学等多领域验证中，DyT性能不降反升，打破了归一化层不可或缺的固有观念，为神经网络优化开辟新道路。
# OpenManus: Local AI Revolution OpenManus brings autonomous AI agents to your desktop, free from API costs. With Ollama integration, it navigates websites, researches topics, and generates reports through natural language commands. Despite being in early development, it's already transforming workflows across Southeast Asia, from automating e-commerce analysis in Singapore to supporting agricultural decisions in Vietnam. While installation requires technical knowledge, the system's ability to operate entirely offline makes it particularly valuable in regions with connectivity challenges.
OpenManus在东南亚的未来影响 OpenManus作为免费开源AI助手，未来三年将深刻改变东南亚科技格局。通过本地部署和开源模型，它为地区带来多方面应用：帮助中小企业实现低成本自动化，提供个性化教育资源，优化多语言政府服务，支持农业信息系统和旅游业发展。 到2027年，OpenManus将加速数字化转型，创造新就业机会，减少语言障碍，推动本地AI模型发展。预计印尼电商、越南农业、菲律宾教育等领域将出现创新应用。然而，数字鸿沟、能源消耗与安全隐私仍是需要解决的主要挑战。
AI Unleashed - The Coming AI Revolution and Race to AGI - Manus.IM. Its implications for the AI industry, particularly in relation to open-source development.
手册的核心亮点在于揭示了如何通过提示语设计最大化AI效能。对于推理模型（如DeepSeek-R1），直接陈述目标即可；而对于通用模型（如GPT），则需分步引导并补充上下文与示例。避免过度指令或模糊指令，掌握“提示语链”和“三链融合”等高级技巧，是提升AI输出的关键。
Whether you’re a developer, content creator, or business leader, DeepSeek offers unparalleled support. By automating repetitive tasks, sparking creativity, and designing human-AI workflows, you’ll not only boost efficiency but also stand out in the AI-driven future.
DeepSeek公司推出突破性开源模型，声称仅需1%运算资源即可实现高效训练。虽然这一数据需要验证，但10-20%的资源节省仍具重大意义。该模型采用创新的多阶段训练流程和群体相对策略优化，在11个测试项目中4个超越OpenAI，尤其在数学和程序领域表现出色。这一技术突破可能影响NVIDIA在AI硬件市场的主导地位，推动AI领域从追求大模型转向追求高效精准的小模型发展方向。
