Top 7 AI News Websites in China Worth Following
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Discover 7 high-quality Chinese AI news sites—covering open-source updates, industry reports, and technical deep dives—plus practical daily tracking tips to stay ahead.
Decision in 20 seconds
Discover 7 high-quality Chinese AI news sites—covering open-source updates, industry reports, and technical deep dives—plus practical daily tracking tips to sta…
Who this is for
Founders, Product managers, Developers, and Researchers who want a repeatable, low-noise way to track AI updates and turn them into decisions.
Key takeaways
- Why You Need Dedicated AI News Sources
- 7 Must-Follow AI News Websites in China
- How to Track AI News Efficiently: Build Your Own Information Flow in 3 Steps
- A Reproducible Tracking SOP: Building Your AI News Flow from Scratch
Recommended AI News Websites in China & a Practical Daily Tracking Method
In today’s fast-paced AI landscape, staying up to date with high-quality AI news websites is essential for developers, founders, and tech enthusiasts who want to stay competitive. Yet information overload leaves many stuck in a loop: “I read a lot—but miss what truly matters.”
This article curates 7 top-tier AI news platforms in China worth following long-term—and shares a practical, time-efficient method to track key developments every day.
Why You Need Dedicated AI News Sources
General news outlets often spotlight trending headlines but lack depth on technical details, open-source projects, or real-world use cases. Specialized AI news sites help you:
- Learn about new models and tools the moment they launch
- Spot practical opportunities—like lightweight local models or RAG applications
- Cut through marketing hype and see real technical boundaries
As Watcha notes, aggregation tools like PrimeScope already integrate authoritative domestic sources—including Jiqizhixin (Machine Heart), Xinzhixuan (New Intelligence), GeekPark, IFanr, Founder Park, and Juejin AI—ensuring timely and reliable coverage.
7 Must-Follow AI News Websites in China
1. Jiqizhixin (Machine Heart)
Focuses on cutting-edge AI research and development—covering large language models, robotics, AI chips, and more. Its “Synced Report” series delivers exclusive, in-depth analysis ideal for readers who want to grasp the underlying logic of technological evolution.
2. Xinzhixuan (New Intelligence)
Known for its “AI + Industry” angle, it covers not only breakthroughs in AI research but also real-world deployments across finance, healthcare, manufacturing, and beyond. Its “Chinese LLM Leaderboard” is a go-to resource for tracking progress among domestic models.
3. GeekPark
Though not exclusively an AI publication, GeekPark excels at spotting early-stage AI startups and product innovations. It was among the first to cover breakout international tools like Base44 and Lovable—making it especially valuable for those interested in commercialization paths.
4. IFanr
Takes a consumer-first approach—highlighting how AI integrates into everyday products: smart hardware, AI-powered smartphones, creative tools, and more. If you’re asking, “How can ordinary users actually benefit from AI?”, IFanr delivers grounded, relatable insights.
5. Juejin (Rare Earth Gold) – AI Channel
A hub for hands-on tutorials and real-world insights from frontline developers—covering RAG implementation, local model deployment, prompt engineering, and more. Deep dives into the GitHub Trending list often debut here, with strong emphasis on practical application.
6. Founder Park (formerly Qimai Community)
Launched under Dr. Qi Lu’s leadership, this community focuses on early-stage AI startups and emerging tech trends. Its “AI Daily Brief” curates key global developments—with clear, concise Chinese explanations—making it ideal for founders and product managers.
7. RadarAI
Unlike traditional media, RadarAI is an AI industry intelligence aggregator. It automatically pulls updates from primary sources—including GitHub, Hugging Face, and official blogs—and organizes them into categories like “New Capabilities,” “Open-Source Projects,” and “Real-World Signals.” Users can subscribe via RSS and grasp what’s actually usable today in just 10 minutes per day.
How to Track AI News Efficiently: Build Your Own Information Flow in 3 Steps
Step 1: Trim & Anchor Your Sources
Don’t follow a dozen platforms at once. Stick to 1 aggregator (e.g., RadarAI or PrimeScope) + 1–2 specialized outlets (e.g., Machine Heart + Juejin). This prevents fragmentation and keeps your feed focused.
Step 2: Set a Daily 15-Minute Scan Routine
- Morning commute: Skim RadarAI’s “Today’s Updates.”
- Flag 2–3 items relevant to your work (e.g., “local RAG,” “small multimodal models”).
- Evening: Spend 10 minutes reading one of those deeply—prioritize impact over volume.
Step 3: Read with Questions—Not Just Scrolling
Before diving in, ask yourself:
- Does this new capability solve a specific pain point I’m facing?
- Can smaller models already do something similar—and could it run locally?
- Has anyone built wrappers, APIs, or commercial services around it? Is the market window still open?
This turns passive consumption into actionable insight.
A Reproducible Tracking SOP: Building Your AI News Flow from Scratch
If you’d like full control over your AI news pipeline, here’s a streamlined SOP you can implement yourself—based on the technical approach outlined by PHP.cn:
- Choose RSS feeds: Collect RSS URLs from target websites (e.g., Jiqizhixin, Juejin’s AI channel).
- Deploy automation scripts: Use Python’s
feedparserlibrary to parse feeds; run daily via GitHub Actions. - Integrate AI summarization: Call APIs from large models like DeepSeek to generate concise summaries of today’s news.
- Push to your personal device: Deliver summaries to your phone via PushPlus or a Telegram bot.
Example repo structure:
ai-daily-news/main.py+.github/workflows/daily.yml— fully automated at zero cost.
Advanced users may also consider Medieco AI Literature Tracking (as reported by NetEase Subscription). This tool supports tracking Chinese and English AI-related academic papers by keyword or journal—ideal for researchers and professionals in AI-driven healthcare.
Common Pitfalls to Avoid
- Chasing trends without assessing feasibility: When ChatGPT launched, many rushed to build chatbots—but the real value came from those offering private model deployment services.
- Over-relying on a single platform: While Weibo and Zhihu host lively discussions, they lack structured, reliable information. Prioritize professional news sites; use social platforms only for supplementary insights.
- Ignoring source credibility: Some self-media outlets overhype AI capabilities. Always cross-check claims. Favor platforms run by teams with strong technical backgrounds.
Tool Comparison: Which AI News Approach Is Right for You?
| User Need | Recommended Tools | Data Sources |
|---|---|---|
| Stay updated on daily global AI developments | PrimeScope, RadarAI | Watcha |
| In-depth technical analysis and open-source projects | Juejin (Rare Earth), GitHub Trending | CNBlogs |
| Industry adoption and business analysis | Machine Heart, Xin Zhixuan | Industry consensus |
| Startup inspiration and early signals | Founder Park, RadarAI | Public platform data |
| Academic & medical AI literature tracking | MedCafe AI Literature Tracker | NetEase Subscription |
Bottom line: If you’re short on time, start with aggregation tools like RadarAI or PrimeScope—they automatically filter out noise and highlight actionable insights.
Related reading
- Top China-Built AI Models to Watch in 2026: DeepSeek, Qwen, Kimi & More
- China AI Updates in English: What Builders Should Watch Each Month
- How to Track China AI in English Without Doomscrolling
- Best English Sources for China AI Industry Updates (2026 Guide)
RadarAI helps builders track AI updates, compare source-backed signals, and decide which changes are worth acting on.