Quantum and U

China’s New AI Controlled City : Xiong’an

Xiong'an, China's AI-controlled city built from empty farmland in 2017, now houses over 1 million people under a single artificial intelligence brain. Traffic lights, underground pipes, and government services run autonomously through a real-time digital twin. With $120 billion invested and DeepSeek integration added in 2025, Xiong'an isn't just a city — it's a blueprint reshaping urban planning worldwide.

我与李光耀国父的对话(人工智能)

与李光耀对话:AI时代如何生存?他直言——你不是在和AI竞争,而是在和会用AI的人竞争。每天使用它,培养机器无法取代的判断力与责任感。问自己:如果明天我消失了,雇主要多久才能找到替代?学习是唯一可靠的资产。不问会否被淘汰,只问今天做了什么,让明天比今天更有价值。

SuperIntelligence: Why the Future of AI is a File System (CORAL), Setup & Implementation Guide inside.

CORAL is a multi-agent infrastructure where autonomous AI agents continuously explore, evaluate, and improve solutions — not by retraining the model, but by writing to a shared file system of attempts, notes, and skills. Built by MIT, Stanford, and Meta, it runs frozen LLMs inside isolated git worktrees, coordinated through persistent shared memory and a heartbeat protocol that prevents stagnation — intelligence engineered around the model, not inside it.

🎙️ Nobel Prize Winner: Nobody Sees What’s Coming After AI

AI feels like the final frontier — but it's just the foundation. Quantum computing, humanoid robots, and AI-accelerated biotech are converging in a 5–10 year window that most people aren't watching yet. The physics is already written. The hardware is catching up fast. And unlike the AI wave, the quantum transition will arrive with far less warning for the unprepared.

Playwright CLI:CLI + Skill 搭建 AI 浏览器自动化框架

告别繁琐的重复操作!本文深度解析如何用 **Playwright CLI + Skill** 搭建 AI 浏览器自动化框架——比传统 MCP 方案节省四倍 token,经验沉淀为 Skill 后效率再提升十倍,固定流程脚本化后更可实现零 token 全自动运行。从安装配置、接入 Claude Code,到评论抓取、文章发布、Web 测试三大实战案例,一文掌握。

Claude Code Source Code LEAK (How to build it yourself)

Anthropic accidentally leaked Claude Code's entire source code — over 600,000 lines of TypeScript — through a single misincluded map file. Within hours, tens of thousands of GitHub forks spread it across the internet. The leak exposed Anthropic's hidden development roadmap, including autonomous background agents, persistent memory, multi-agent orchestration, and a surprisingly elaborate virtual pet system. The AI era just got a lot more transparent. And rebuild yourself.

🪰 Does This Fly Prove We’re In a Simulation?

FlyWire is a Princeton-led international consortium that spent five years building the first complete wiring diagram of an adult fruit fly brain — 140,000 neurons and 50 million synaptic connections, mapped neuron by neuron using electron microscopy, AI, and thousands of volunteer gamers. The resulting open-access atlas, explorable at flywire.ai, became the foundational dataset that made Eon Systems' historic whole-brain emulation possible.

OpenClaw Full Tutorial for Beginners – How to Set Up and Use OpenClaw

OpenClaw is a self-hosted autonomous AI agent that connects WhatsApp, Telegram, and Discord to powerful coding agents, enabling users to automate digital tasks while maintaining complete data control. This comprehensive tutorial covers installation, workspace configuration, multi-agent architecture, and critical security implementations including Docker sandboxing. Users learn to create custom skills, manage multiple specialized agents, and deploy personal assistants capable of managing emails, repositories, and social media autonomously.

微软职业生涯发展日分享:中美关系与工程师职业发展见解

AI软件工程师正成为科技行业最炙手可热的岗位,年薪可达$120K-$300K。成功路径需要掌握Python、深度学习、大模型应用开发和MLOps工程化能力。关键是从"知识工作者"转型为"判断力工作者",培养技术品味和承担责任的能力。AI不会淘汰工程师,只会淘汰不懂AI的工程师。拥抱不确定性,持续学习底层原理,善用AI工具,建立个人品牌。这条路充满挑战但回报丰厚——你的AI工程师之路,从今天开始!

刘润日课解读:AI内容创作的两种手法对比

刘润日课解读:AI内容创作的两种手法对比 – 内容包含自动化内容创作完整搭建指南

AI内容创作完整指南精华摘要 AI内容创作已从简单文本生成演进为系统化多Agent协作流程。本指南涵盖七大核心要点:电影式vs纪录片式叙事方法论、多Agent专业分工体系、n8n/LangChain技术栈选择、四层Prompt工程框架、自动化Pipeline构建、智能成本优化策略(可节省80%开销)以及数据驱动的持续优化机制。从快速原型到企业级部署,提供完整实施路径,帮助创作者构建高效、可扩展的AI内容生产系统,实现从主题研究到发布追踪的全流程自动化。