An MIT grad student passed a qualifying exam in 48 hours by treating AI as a private tutor, not a search engine. Load every textbook into one isolated workspace, then run three prompts: extract the five core mental models, map the fiercest expert debates, and generate ten discriminating questions. Spar with the AI — never ask for answers, only errors.
Leadership has shifted from controlling tasks to orchestrating intelligence. The Executive AI Playbook reframes AI across three pillars — Intelligence, Strategy, Governance — separating the *Thinking Partner* (Claude, for scenarios and assumptions) from the *Doing Engine* (ChatGPT, Beautiful.ai, for drafts and decks). Structure your data into Red, Yellow, and Green zones, then prove ROI on one workflow before scaling.
DeepSeek TUI is an open-source terminal coding agent built around DeepSeek V4, created by patent law student Hunter Bound. It hit GitHub trending with 10K+ stars overnight, offering Claude Code-style functionality at a fraction of the cost. With dual-binary Rust architecture, RLM parallel sub-agents, MCP support, and three safety modes, it's a serious model-native alternative.
Axiom Math is the Silicon Valley startup behind AxiomProver — the AI mathematician that scored a perfect 12/12 on Putnam 2025 — and AXLE, its public Lean 4 verification engine. This guide walks through installing the Python SDK and CLI, configuring API keys and Lean environments, and using `verify_proof` to build verified-AI pipelines where every output carries a machine-checkable proof.
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.
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。
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.
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.
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。
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.
