91 related articles

Deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on RTX 5080. Exploring its architecture, Metal porting plans, and applications in VTuber, AR/VR, and sports analysis.

A deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on an RTX 5080.

Minecraft Java Edition's recommended RAM jumps to 16GB as the game prepares for a Vulkan graphics API migration. Learn what this means for players and the mod ecosystem.

Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.

Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.

Step-by-step guide to deploying Dify AI platform locally with Docker. Covers Linux, Windows, macOS setup, docker compose launch, and first-time initialization in under 30 minutes.

A complete guide to Claude Code: CLI installation, switching to DeepSeek and other Chinese LLMs via CC Switch, and conversational Git workflows for developers.

lx is a set of 72 single-purpose CLI tools running on local Ollama models — no API key, fully offline. Supports git commit generation, log debugging, and more. Rust binaries with <15ms cold start; 7–8B models work great.

AI Engineer Summit deep dive: Local AI hits a real inflection point, driven by privacy and cost. Multi-model collaboration goes mainstream, NVIDIA + ExoLabs achieve 10x gains, open-source ecosystem accelerates.

Step-by-step guide to running local open-source models (Qwen3/Gemma) with Ollama, connecting to Codex via CC Switch for zero-token AI coding. Works on a 6GB VRAM laptop.

Ollama has 9M active developers and 170K GitHub stars. This guide covers its features, architecture, business model, and use cases for running LLMs locally.

Apple hosted a college AI showcase in Guangzhou where students used Mac and AI tools to build a smart anti-sedentary chair, AR robotic arm, dental simulator, and more. A deep dive into Vibe Coding and Apple's AI hardware strategy.

OpenAI's GPT-5.6 and Codex integration tested: 3 prompts to edit a 15-min video in just 20 minutes. Full breakdown of performance, Token costs, GPT Work automation, and Chat Card real-world results.

A complete guide to the 3 ways users in China can subscribe to ChatGPT Plus — free trial, Apple gift card, or pre-activated accounts — with cost, stability, and difficulty compared.

A practical guide to OpenAI Codex: core features, Codex vs. Claude Code comparison, and why the Codex+DeepSeek combo doesn't work. Avoid common pitfalls and boost your coding productivity.

A Reddit post sparks broad resonance: self-hosting communities are being diluted by AI-generated apps and homogenized content. Exploring "AI slop," vibe coding, and how to preserve genuine technical passion.

A technical deep-dive into AI-assisted reverse engineering: how MCP, Skills libraries, and Frida toolchains work together, their real capability limits, and the legal boundaries of iOS/Android/Web reverse analysis.

A Bilibili creator ran Qwen 122B with 256K context on just 8GB VRAM + 64GB RAM using llama.cpp. Full breakdown of quantization, deployment params, performance, and cost-effective alternatives.

Bonsai-27B supports binary/ternary extreme quantization for 27B LLMs running on 8GB VRAM. Covers llama.cpp upstream progress, RTX 4060 benchmarks (30 t/s), and real-world limitations.

Google demoed running Gemma local LLMs directly in Android Studio at I/O Connect, enabling offline AI coding with full privacy — no code leaves your machine.