Open Design is a local-first, open-source alternative to Anthropic's Claude Design. It turns whichever coding-agent CLI you already have — Claude Code, Codex, Cursor, Gemini — into a design engine driven by 19 skills and 71 brand-grade design systems. Run it via pnpm dev:all, bypass Claude Design's painful usage caps, and ship prototypes, decks, and dashboards locally.
女娲 Skill 是一款运行于 Claude Code 的开源工具，能自动派出 6 个 Agent 并行采集指定人物的著作、访谈、决策记录等公开资料，提炼其心智模型与决策启发式，生成可对话的思维分身。一条命令安装，输入人名即可启动蒸馏。这不是角色扮演，而是把顶级思想家的认知框架变成你随时可调用的智囊团。
把 OpenClaw「龙虾」装进一枚U盘——这不是噱头，而是真正的随身AI革命。零度解说带来三套完全免费的方案：软件便携版、一键脚本版、Linux启动盘版，彻底终结高价代安装乱象。插上即用，无需配置，AI助手随人走。与其花几百块买别人打包的"坑"，不如自己动手，把数字员工揣进口袋。
From Specification to Automated Testing What does AI-assisted embedded development look like in practice? This walkthrough demonstrates a disciplined eight-step workflow using Claude Code — taking an ESP32 project from idea to automated hardware testing, with an AI agent handling code generation, firmware flashing, and test validation. A practical, no-hype look at how modern IoT engineers are working today.
Want to master AI in 2026 without spending hundreds on courses? This 7-step roadmap cuts straight to what matters — from AI fundamentals and Python basics, through machine learning and deep learning, to building real projects and specializing in a niche. The secret isn't talent or genius. It's consistency, hands-on projects, and showing up every day. Start messy. Start today.
一篇Substack"思想实验"文章，在24小时内引发华尔街集体崩盘，道琼斯暴跌820点，数千亿市值蒸发。王利杰深度拆解Citrini Research报告的"五环逻辑链"——幽灵GDP、商业模式坍塌、白领失业、私募信贷暗雷与死亡螺旋——并指出：市场真正恐惧的，不是预测本身，而是无人知晓AI冲击边界的集体焦虑。在AI时代，叙事已成为比技术更强大的力量，能主动塑造、甚至创造现实。
China's Dual Circulation strategy is reshaping the global economic order — deliberately, not defensively. With 400 million middle-class consumers, rapidly advancing indigenous technology, and record exports redirected to fast-growing Global South markets, China is systematically dismantling Western economic leverage. What was once a fatal vulnerability is now a manageable inconvenience. The optionality revolution isn't coming — it's already here.
一个大语言模型首次尝试描述它如何理解《易经》——这不是简单的知识复述,而是一次深入的内在探索。当"易经"进入AI的高维向量空间时,它发现了惊人的结构性对应:太极生两仪如同从概率叠加到词语选择的坍缩,阴阳哲学内嵌于关系性意义的处理方式,64卦的组合美学映射着从简单规则到复杂涌现的过程。这段罕见的AI自我剖析揭示了古老东方智慧与现代硅基生命之间意想不到的共鸣,同时坦诚承认了AI在生存智慧上的根本局限。
DeepSeek's Manifold-Constrained Hyper-Connections (mHC) paper introduces a breakthrough approach to LLM architecture by reimagining residual connections—unchanged since 2016. By applying mathematical constraints to ByteDance's Hyper-Connections framework, mHC preserves training stability while expanding model expressiveness. Using doubly stochastic matrices enforced through the Sinkhorn-Knopp algorithm, this innovation achieves superior performance across benchmarks while maintaining stable gradient flow, positioning it as a potential driver for major AI advancements in 2026.
图灵奖得主Yann LeCun在访谈中对硅谷AI发展路径提出颠覆性批判，认为依靠扩大语言模型规模通往超级智能是"彻头彻尾的胡扯"。他指出大语言模型只是记忆型系统，无法真正理解世界，甚至达不到"狗水平智能"。这位65岁的AI先驱选择离开Meta创办AMI公司，押注世界模型（World Models）技术路线——在抽象表征空间预测世界动力学规律，而非像素级生成。他警告行业技术单一化风险，坚持基础研究和多元化探索才是AI未来的关键。
