Which Websites Should You Use to Track AI News Daily? 5 Practical Platforms Recommended

Keeping up with daily AI developments has become essential for developers, entrepreneurs, and tech enthusiasts alike. Yet amid an information explosion, truly valuable updates are often buried under noise. How can you efficiently obtain high-quality content in minimal time? This article highlights five practical platforms to help you stay on top of the latest AI advancements.

1. RadarAI — Aggregates High-Quality Updates, Focused on Real-World Applications

RadarAI is a dynamic aggregation platform specifically designed for users tracking AI adoption and open-source progress. It curates global AI news, open-source projects, and capability breakthroughs each day—highlighting what’s practically feasible right now, rather than merely listing technical terms.

For instance, in its February 23 daily briefing, RadarAI reported the hardware-level breakthrough that Llama 3.1 8B achieves inference speeds of 18,000 tokens/sec, emphasizing its implications for edge-device deployment. On February 19, it spotlighted Claude Opus 4.6’s 1-million-token context window, analyzing its impact on complex RAG scenarios. These insights directly address whether a technology is ready for real-world implementation, helping users decide precisely when to take action.

The platform supports RSS feeds, enabling seamless integration with readers like Feedly—ideal for readers seeking a consistent, low-noise information rhythm.

2. PrimeScope — AI-Powered Global Source Aggregation, Covering Authoritative English & Chinese Media

PrimeScope automatically scrapes and synthesizes daily global AI news summaries using AI, drawing from over 30 authoritative sources. International outlets include the OpenAI Blog, Anthropic, Google DeepMind, TechCrunch, and MIT Technology Review; domestic Chinese sources cover Machine Heart (Ji Qi Zhi Xin), Xin Zhi Yuan, Tencent Research Institute, and GeekPark.

Its strength lies in comprehensive coverage and clear structure: each summary includes source attribution, key takeaways, and direct links to original articles—making it ideal for users needing simultaneous visibility into both international and domestic developments. It’s especially valuable for those tracking corporate strategies, policy shifts, or broader industry trends.

3. GitHub Trending — Track Genuine Popularity and Discover Emerging Open-Source Projects

GitHub Trending offers the most direct window into the AI open-source ecosystem. Updated daily, it ranks trending repositories by programming language and timeframe (daily/weekly/monthly), enabling rapid identification of projects gaining widespread developer adoption—or significant fork activity.

For example, when OpenClaw went viral, its GitHub Star count surged past 160,000 within a week—far outpacing Linux’s historical growth rate. Such signals often emerge before mainstream media coverage and serve as critical indicators of “genuine community interest.” We recommend regularly checking trending repositories under tags like Python, Jupyter Notebook, or AI—and prioritizing projects with clear documentation and active issue discussions.

4. AI Daily Digest (Claude-powered Skill) — Intelligent Curation of 90 Top Blogs

The AI Daily Digest, inspired by Andrej Karpathy’s recommended sources, is an intelligent summarization skill running inside Claude. Users simply type /digest, and the system will:

1. Scan RSS feeds from 90 leading technical blogs (e.g., Hugging Face, The Decoder, TestingCatalog, etc.)
2. Fetch all newly published articles from the past 24 hours
3. Score each article using Gemini (based on relevance, quality, and timeliness)
4. Deliver a curated Top 10 list, complete with Chinese-language summaries, scores, and original links

This approach delegates information filtering to AI, drastically reducing manual curation effort. Though it relies exclusively on English-language sources, all summaries are rendered in fluent, natural Chinese—ideal for users seeking exposure to cutting-edge research without reading every full-length article.

5. Hugging Face — A Frontline Observatory for Model Capability Evolution

Hugging Face is far more than just a model hosting platform—it’s a frontline observatory for tracking how the capabilities of smaller open-source models evolve over time. Its Model Hub provides real-time updates on performance metrics, parameter counts, and application scenarios across thousands of open models.

For instance, Qwen3.5-397B-A17B recently ranked among the top three on Text Arena, demonstrating that domestic open-source models can now rival commercial large language models in performance. Meanwhile, GLM-5’s full-stack compatibility with Huawei’s Ascend chips signals growing maturity in China’s domestic AI deployment ecosystem. By closely monitoring benchmark data and user evaluations in model cards, you can assess whether specific capabilities—such as multimodal understanding or local RAG—are ready for practical use.

How to Choose the Right Platform for You?

Key Recommendation: Don’t try to follow all platforms. Instead, select just 2–3 that complement each other—for example, use RadarAI or PrimeScope for macro-level insights, then verify technical maturity using GitHub and Hugging Face.

🔗 Sources

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.