88 related articles

Prompt Engineering is the core skill for harnessing LLMs. This article covers principles and design methods through real cases like translation role-setting and DeepSeek image generation.

What is an AI Agent? This article systematically explains the core architecture of AI agents (LLM + Planning + Memory + Tools), how they differ from ChatGPT, their combination with robots, and why developers must master Agent development skills.

A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.

Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.

Alibaba open-sources Page-Agent, a TypeScript-based in-page JavaScript GUI agent that lets users control web interfaces with natural language. No scripting needed. Already 23K+ GitHub Stars.
Neural Render Proxies: A New Paradigm …
A deep dive into Neural Render Proxies: how neural networks replace costly lighting computation to enable real-time interaction, inverse rendering, and end-to-end differentiable optimization across games, digital twins, and NeRF.
Codex Record & Replay Explained: Turni…
OpenAI Codex's Record & Replay turns real screen workflows into reusable AI automation skills. A deep dive into how it works, its use cases, limitations, and what it means for AI agents.

Deep dive into OpenAI Codex's five core use cases as an AI automation system: video production, code development, design-to-product, computer control, and office document automation.

OpenAI Codex launches Record & Replay and third-party model integration, supporting Claude, Gemini and private models, transforming from a coding tool into an open AI workflow platform for enterprises.

Deep dive into OpenAI Codex's evolution from coding agent to all-in-one AI workstation, covering computer use, visual annotations, memory, CodexSites deployment, and more.

Learn how to deploy a free AI agent locally using Ollama + Qwen 3.5-9B + Hormis framework, enabling web scraping, desktop control, and file management on consumer hardware.

A systematic three-stage AI Agent development roadmap: from Python basics and LLM fundamentals, through five core capabilities like planning and tool use, to hands-on RAG projects for real-world deployment.

Google launches its European Robotics Accelerator with 15 startups selected. The program offers Gemini Robotics models, AI stack access, and team support to advance Physical AI.

NitroGen wins CVPR Best Paper Honorable Mention for building general-purpose embodied agents across multi-physics worlds. Explore the four-year journey from MineDojo to NitroGen.
Meta SAM 3D Receives CVPR Best Paper H…
Meta AI's SAM 3D wins CVPR 2026 Best Paper Honorable Mention, extending universal segmentation from 2D images to 3D space with major implications for robotics, autonomous driving, and AR/VR.

OpenAI officially returns to robotics, hiring full-stack hardware and ML engineers at scale. Led by DALL·E creator Aditya Ramesh, the team evolved from world simulation research to build general-purpose robots.
Tech FrontiersOpenAI Codex adds Windows Computer Use capabilities, enabling direct testing, debugging, and code review in Windows environments. ChatGPT mobile also supports remote Windows machine connections.
TutorialsA complete walkthrough of building a game auto-farming script using template matching and behavior trees, covering asset capture, workflow design, and delay control.
TutorialsA detailed guide to OpenAI Codex's new Computer Use feature: setup, configuration, and practical demos including AI-controlled app launching and commanding Cursor to create projects, plus privacy tips.
Tech FrontiersGPT Image 2 generates flawless text and photorealistic APP interfaces from scratch. Combined with Codex, AI front-end development enters a paradigm revolution. Coverage includes Amap's ABOT, LLM interpretability breakthroughs, and Huang's TPU rebuttal.