AI news
2025-11-12 13:45 Zhejiang --- Moonshot AI’s Big Reveal: Kimi K2 Thinking Last week, Moonshot AI surprised the AI community by open-sourcing an enhanced version of Kimi K2 — dubbed Kimi K2 Thinking — under the slogan “Model as Agent”. This move sparked immediate excitement and global discussion. Hugging Face co-founder
AI news
The Evolving Role of Software Architects in the AI Era Software architecture is undergoing rapid transformation — influenced by both the accelerating pace of software development and the surge in artificial intelligence (AI) capabilities. --- From Traditional Architecture to Modern Complexities Interviewee: Christian Ciceri — Software Architect, Co-founder of Apiumhub, Author of
Production AI
Purpose-Built Infrastructure: Lessons from China’s EV Highways for AI Agent Runtimes China’s rollout of electric-vehicle (EV) highways — lanes equipped with built-in chargers and intelligent traffic controls — wasn’t just a leap forward in transportation. It’s also a masterclass in how infrastructure can unlock speed, safety, and scalability.
AI news
Introduction to StyleX StyleX is Meta’s styling system built for large-scale applications. It merges the ergonomics of CSS-in-JS with the high performance of static CSS, producing collision-free atomic CSS while supporting expressive, type-safe style authoring. Originally open-sourced in late 2023, StyleX is now used across: * Facebook * Instagram * WhatsApp * Messenger
AI news
# Building a Self-Programming Agent *A Step-by-Step Guide to Creating an AI Assistant That Writes and Executes Its Own Code* --- ## Introduction In exploring Large Language Model (LLM) applications, using LLMs as the **"brain"** of an Agent opens limitless possibilities. One of the most successful large-scale implementations is **code
Production AI
# 🛠 Large-Scale System Refactoring: Lessons from a 24-Month Journey ## 📚 Table of Contents 1. **Definition of “Refactoring”** 2. **Refactoring Decisions: When to Take Action** 3. **Scope of Refactoring: Migration or Reconstruction** 4. **Refactoring Strategies: Using the Strangler Pattern** 5. **Risk Control: Preventing Failures** 6. **Data Migration: Tackling the Hardest Challenge** 7. **Core
AI news
Tank, You’ve Really Changed The new Tank 400 has officially launched, priced between 249,800 – 319,800 RMB. This isn’t “entry-level” — and neither are its features. Highlights include: * Refrigerator * Big-screen TV * Luxurious sofa * Roof-mounted LiDAR * “Parking space to parking space” assisted driving The fuel version serves as the
AI news
Spatial Intelligence & Supersensing: The Next Frontier in AI Leading AI researchers — Fei-Fei Li, Saining Xie, and Yann LeCun — have been highlighting a transformative concept: Spatial Intelligence. This goes beyond simply “understanding images or videos.” It’s about: * Comprehending spatial structures * Remembering events * Predicting future outcomes In essence, a truly
AI news
NVIDIA OmniVinci: A Breakthrough in Multimodal AI NVIDIA has unveiled OmniVinci, a large language model designed for multimodal understanding and reasoning — capable of processing text, visual, audio, and even robotic data inputs. Led by the NVIDIA Research team, the project explores human-like perception: integrating and interpreting information across multiple data
Growth & SEO
**Source of Content** | Excerpted from Book *Effective Managers* Published by China Machine Press --- # People Before Tasks — The Key to Enterprise Success > Doing business is about **people before tasks**, not tasks before people. > Finding the **right people** is the decisive factor for success. An enterprise must **first**: 1.
AI news
The AI Glasses Tim “Loved” — Driving Toward the Next “iPhone Moment” This morning, Pan Tianhong (Tim), founder of Film Hurricane, officially became the brand ambassador for Rokid, a leading domestic XR innovator. In Rokid’s official announcement video, Tim highlighted the upcoming Rokid × BOLON joint product launch in Hangzhou on
AI news
Reinforcement Learning for Ultra-Large Models — at a Fraction of the Cost Richard Sutton — known as the “Father of Reinforcement Learning” and a Turing Award winner — predicts that the next generation of intelligent agents will achieve superhuman capabilities primarily by learning from experience, rather than relying solely on supervised learning with