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Kimi K3 Architecture Explained: How the World’s Largest Open Source AI Model Works | Kimi K3 架构解析:全球最大开源AI模型是如何运作的

Moonshot AI's Kimi K3 is the first open-weight model to cross 3 trillion parameters, activating just 104B per token. Three innovations power it: a latent-compressed mixture-of-experts, Kimi Delta Attention for 1M-token context, and attention residuals across 93 layers — together delivering 2.5x better scaling efficiency than K2, at frontier-competitive benchmark performance. Moonshot AI 推出的 Kimi K3,是首个突破3万亿参数的开放权重模型,每个token仅激活1040亿参数。其核心依托三大创新:潜空间压缩混合专家系统、支持百万token上下文的Kimi Delta Attention,以及贯穿93层网络的注意力残差机制——三者协同,使扩展效率较K2提升2.5倍,性能达到前沿水平。

Kinematics & Dynamics — Theory to Simulation in ROS 2 Python with the UR Robot |《运动学与动力学 —— 从理论到 ROS 2 Python 仿真(UR 机械臂实例)》

This two-part series covers robotics kinematics end to end. Part one reviews a course that derives rotation matrices, DH parameters, forward/inverse kinematics, Jacobians, trajectory planning, and Newton-Euler/Lagrangian dynamics — each verified live on a UR robot in RViz via ROS 2 Python. Part two is the practical "step zero": installing ROS 2, building a workspace and package, writing a minimal DH-based forward-kinematics node, and troubleshooting common setup pitfalls like sourcing and distro mismatches. 本系列共两篇,完整覆盖机器人运动学。第一篇测评一门课程:从旋转矩阵、DH 参数、正逆运动学、雅可比矩阵,到轨迹规划与牛顿-欧拉/拉格朗日动力学,每一步都在 UR 机械臂上通过 ROS 2 Python 于 RViz 中实时验证。第二篇是实操"第零步":安装 ROS 2、搭建工作空间与功能包、编写基于 DH 参数的最小正运动学节点,并排查环境变量与发行版不匹配等常见配置陷阱。

The 4 Skill Groups That Unlock Peak Agent Productivity | 这4组Skill才是Agent顶级生产力的真正密钥

**The real productivity ceiling in the AI agent era isn't your tool — it's your Skill configuration.** After testing dozens of agents, one truth stands out: Skill Creator, Find Skills, Superpowers, jStack, Frontend Design, and Baoyu's content toolkit form the essential stack. Configure these four Skill groups correctly, and any agent becomes a full team. --- **AI Agent 时代真正的生产力天花板,不是你用的工具,而是你配置的 Skill。** 实测数十个 Agent 后,一个真相浮现:Skill Creator、Find Skills、Superpowers、jStack、Frontend Design 与宝玉工具箱,构成了核心生产力矩阵。四组 Skill 配置到位,任何 Agent 都能顶一支团队。

Yann LeCun — “World Models: Enabling the Next AI Revolution”

Yann LeCun argues that LLMs cannot achieve human-like intelligence: a four-year-old absorbs as much data through vision as all internet text. His solution—world models built on JEPA, predicting in abstract representation space rather than pixels—enables planning by energy minimization, intrinsic safety, and emergent physical common sense. Now open-sourced via V-JEPA 2, EB-JEPA, and LeJEPA for hands-on experimentation.

Zero to One with No-Code AI: The Complete Playbook / 从零到一玩转无代码 AI:完整实战手册

A bilingual deep-dive into building real apps and websites without writing a single line of code.一篇双语长文,带你不写一行代码,做出真正能上线的 App 和网站。 Introduction /.

The AI Marketing Engine

A 30-day playbook reframing small-business marketing as a four-zone industrial system: Fuel (Claude mines customer reviews for your USP), Factory (Jasper, Midjourney, Canva produce on-brand content), Assembly (Predis.ai batches and schedules in one Sunday hour), and Dashboard (Notion plus ChatGPT track inquiries, conversions, and revenue — not vanity likes). Smart system. Disciplined loop. No massive budget required.

中华文明的重新定义与八千年历史 — 冯时专场深度解读

冯时教授颠覆性提出中华文明八千年:天文学是文化之源,昆仑非山而是太阳轮次运行的浪漫表达,龙的原型是苍龙七宿星象,诚信道德源于立表测影对时间守信的领悟。以道德、知识、礼仪三要素重新定义文明,挑战西方标准,重建自主话语体系。

Solving $2 Million Value Problem : Framework for Strategic AI Integration

Most companies waste AI on trivial tasks like meeting summaries. The real opportunity is finding "$2 million problems" — high-value business challenges where AI delivers transformative ROI. Through three case studies (retail sales coaching, FBA inventory optimization, real-time e-commerce tuning), this framework shows how to solve million-dollar problems for $200K, shifting AI from efficiency tool to business breakthrough enabler.

🚀让AI告别瞎改代码!GitNexus打造零Token代码知识图谱,Claude Code/Cursor开启上帝视角!

AI改代码总是"瞎猜"导致连锁错误?本文深度解析两款革命性工具:**GitNexus**(零Token代码知识图谱,本地运行,专为Claude Code/Cursor打造调用链精准追踪)与**Graphify**(多模态语义图谱,整合代码、文档、论文、图像)。从安装命令、MCP配置到使用场景全面对比,让你的AI编程助手开启"上帝视角",告别盲改代码,重构再也不翻车!

How Senior Engineers Actually Build With AI in 2026 | Build a Full Stack Systems Architecture App

Senior engineers in 2026 don't write code — they design systems and let AI implement them. This nearly four-hour build of Ghost AI, a real-time collaborative architecture workspace, demonstrates spec-driven development through a six-file context system that turns AI agents from guessers into disciplined executors. The methodology, not the stack, is what separates shipping engineers from those drowning in AI-generated chaos.