69 related articles

OpenAI launches the GPT-5.6 family—Sol, Terra, and Luna—alongside ChatGPT Work, a new desktop app, and Sites. AI evolves from a chat tool into a true productivity partner, completing financial analysis, presentations, and cross-platform collaboration in one operation.
OpenAI Targets the Home Market: How Ch…
OpenAI is recruiting a family product manager, targeting older adults and caregiver scenarios. An in-depth analysis of ChatGPT's shift from productivity tool to home digital assistant.

AI coding tools carry cloud data transmission risks, exposing quantitative trading strategies to leakage. This article analyzes AI tool data security and offers protection strategies.

A 6-year electrical engineer from Brazil weighs transitioning to AI engineering. This deep-dive covers the stability vs. freedom tradeoff, transition advantages, and a practical roadmap for engineers with similar backgrounds.

A major breakthrough in AI coding! Hands-on tests show new LLMs generating a Minecraft clone in 90 minutes and a TMNT game in 30 minutes, building 3D scenes, animation, and game logic in one shot.

OpenAI's No. 2 executive Fidji Simo steps down from her full-time role after extended medical leave, at a critical juncture as the company prepares for an IPO and chases Anthropic in the enterprise market.

A deep dive into AI coding agents like Codex and Claude Code — real-world comparisons, MCP protocol explained, and how these tools are transforming programming for developers and beginners alike.

Local AI faces a triple threat from tightening regulation, hardware lock-downs, and commercial pressure. A deep analysis of why running open-source LLMs on your own device is a digital right worth defending.
OpenAI Research: How AI Agents Are Res…
OpenAI research reveals AI agents are evolving from chat assistants into autonomous "digital workers," driving productivity gains across technical and non-technical roles alike.

Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.

App Builder generates single-file runnable apps from natural language, with real-time sandbox preview and conversational revision. Deep analysis of its workflow, architecture, limitations, and costs.

The core of enterprise AI isn't calling general models—it's building a self-reinforcing "model-harness-sandbox-eval" flywheel. This article analyzes the four components, tacit knowledge moats, and the "token value per watt" efficiency metric.

Deep dive into Dify, the open-source LLM app development platform featuring visual workflow engine, RAG knowledge base, Agent capabilities, hundreds of model integrations, Docker deployment, and comparisons with LangChain, Coze, and FastGPT.

Explore three AI programming modes — Vibe Coding, Plan Mode, and AI Engineering — with practical comparisons of Claude Code, Codex, and domestic LLMs, plus SDD-driven enterprise development workflows.

Based on Andrew Ng's latest AI prompting tutorial, learn the core gaps between beginners and experts: providing context, overcoming sycophancy, iterative workflows, and four key principles.

N2 model, built on Qwen 3.5, is completely free and integrates with Claude Code. Real-world tests show voice commands generating full landing pages, with AgentOS enabling shared memory and multi-model collaboration for zero-cost AI coding.

OpenAI publicly outlines its AI policy stance and advocacy approach. This article analyzes the logic behind transparency, the challenges of tech policy lobbying, and implications for AI regulation.

A detailed guide to AI full-stack development architecture covering Node.js+TypeScript+Monorepo engineering, Docker CI/CD deployment, and AI engine design with interview tips.

A complete Vibe Coding guide: use natural language to drive AI for product development — from ideation and PRD generation to UI design and code implementation. Build launchable products with zero coding skills.

A detailed breakdown of building AI chatbots for overseas clients as a side hustle: $150–$800 per project, no coding or English fluency required. Covers pricing, no-code tools, and a 5-step path to your first client.