Thesis
Tracking China AI in English requires a deliberate three-layer stack, not a single feed. The Chinese lab ecosystem — Qwen, DeepSeek, Kimi, GLM, Baidu ERNIE, MiniMax — now publishes natively in English on GitHub, HuggingFace, and X, but the English-accessible primary surfaces for model releases, policy text, and startup funding are different channels with different update tempos. Builders who collapse all three into one undifferentiated feed miss the verification step: in the 72 hours after a major China AI release in 2026, the technical ground truth lives on QwenLM GitHub or DeepSeek HuggingFace — not in Reuters or TechCrunch. This page maps the three-layer workflow and the 15-minute Monday routine that covers 90% of what English-first builders need to know.
Decision in 20 seconds
| If you want… | Go to |
|---|---|
| Weekly digest of everything that changed in China AI | RadarAI weekly digest |
| Verify a new Chinese model release (benchmarks, license) | QwenLM GitHub or DeepSeek HuggingFace directly |
| China AI startup funding rounds in English | 36Kr Global (36kr.com/global) |
| China AI policy text in English | The State Council English (english.www.gov.cn) |
| Fastest first alert for new Chinese model drops | @qwen_lm, @deepseek_ai, @MoonshotAI_Kimi on X |
Why layering matters more than volume
The core mistake English-first builders make is treating China AI sources as an undifferentiated list. The problem is not coverage volume — Reuters, SCMP, and 36Kr together cover the major stories. The problem is the verification gap: English media reports 3–6 hours after the lab posts the primary release, and routinely omits benchmark methodology, license terms, and API availability details that appear only in the GitHub README or HuggingFace model card. When Qwen3 launched in April 2026, the Apache 2.0 license files, the per-model benchmark table, and the MoE vs. dense architecture decision were all in the QwenLM GitHub README — the SCMP and Reuters stories didn't reach that depth for 24–48h. A builder who checked only English media would have acted on incomplete data. The three-layer approach below resolves this by assigning each source type a specific verification role rather than using all sources interchangeably.
Three-layer tracking workflow
| Layer | What it covers | Best sources | Check frequency | Role in workflow |
|---|---|---|---|---|
| Primary Lab channels |
Model releases, benchmark data, license terms, API specs | QwenLM GitHub, DeepSeek HuggingFace, Moonshot blog, Zhipu blog; @qwen_lm, @deepseek_ai on X | Weekly scan + event-triggered (X alert) | Ground truth and release verification — always check before acting on media reports |
| Secondary English media |
Market framing, enterprise adoption, US-China policy context, funding rounds | 36Kr Global, KR Asia, SCMP Tech, Reuters AI, TechNode | 2–3×/week or weekly digest | Context and signal amplification — not primary source, but essential for market framing |
| Weekly digest Routing layer |
What changed across the full cluster — models, policy, startups — with builder-relevant signal classification | RadarAI weekly digest | Once/week (Monday) | Routing — tells you where to look deeper, which signal to act on vs. watch, what you can skip |
15-minute Monday routine
This routine covers 90% of what English-first builders need to know about China AI each week. Total time: 15 minutes.
- 0–5 min: RadarAI weekly digest — open radarai.top/en/china-ai-updates. Read the signal classification: what changed, which signal is worth acting on, which is worth watching. This routes the rest of your session — if there's a major model release, you'll go to Layer 1; if it's a funding round, you'll go to 36Kr.
- 5–10 min: Lab channel scan — check QwenLM GitHub (github.com/QwenLM) and DeepSeek HuggingFace (huggingface.co/deepseek-ai) for recent activity. If the RadarAI digest flagged a Kimi or GLM release, check Moonshot blog or open.bigmodel.cn. This is the verification step — take 2 minutes to read the README/model card before relying on English media's summary.
- 10–15 min: Market and funding context — scan 36Kr Global (36kr.com/global) for the weekly China AI funding digest (published Fridays since February 2026). If SCMP or Reuters had a major China AI story flagged in the digest, open it here for enterprise/policy framing. Stop at 15 minutes.
Policy monitoring is event-triggered, not routine: Subscribe to the Xinhua English newsletter or The State Council English RSS to receive alerts when major CAC or MIIT AI rules are published. Don't check policy sources daily — they update infrequently but the volume is high when they do.
What to do when a major release drops mid-week
If @qwen_lm or @deepseek_ai posts a major release outside your Monday routine: (1) Don't act on the X post alone — open the GitHub/HuggingFace primary source within 2 hours for license and benchmark verification. (2) If the release affects your stack directly (new API, license change, major capability jump), check the technical report in the GitHub README before the English media writeups. (3) Capture it in your next Monday digest review — don't interrupt your current sprint unless there's a direct integration decision to make.
Companion routing table
| If your question is about… | Go to | What's there |
|---|---|---|
| Which English sources to trust for China AI (full source list) | China AI News Sources in English | Source routing matrix by verification role, media coverage table, policy sources |
| Weekly digest of what changed in China AI | China AI Updates | Weekly signal digest, curated for builders |
| Which China AI models to track and why | China AI Models List | Standing watchlist with action triggers and verification paths |
| Which China AI companies to watch | Best China AI Companies | 15-company shortlist — foundation model labs, workflow infra, physical AI |
| Best sites to track AI trends daily (not just China AI) | Best Sites to Track AI Trends Daily | Daily AI trend monitoring workflow covering US and China AI |
| Broad China AI context and cluster overview | China AI Overview | Topic definition, cluster routing matrix, start-here guide |
FAQ
- How do I track China AI in English as a builder?
- Use a three-layer stack: QwenLM GitHub and DeepSeek HuggingFace for release verification; 36Kr Global and SCMP Tech for market context; RadarAI weekly digest (radarai.top/en/china-ai-updates) for routing. Total time commitment: 15 minutes on Monday.
- Where can I get China AI updates in English?
- RadarAI (radarai.top/en/china-ai-updates) for weekly digest. @qwen_lm, @deepseek_ai, @MoonshotAI_Kimi on X for real-time release alerts. 36Kr Global for China AI funding digest (launched February 2026). QwenLM GitHub and DeepSeek HuggingFace for technical primary sources.
- What is the best way to follow China AI news without reading Chinese?
- Chinese labs now publish natively in English on GitHub and HuggingFace. The State Council English (english.www.gov.cn) covers major policy 48–72h after Chinese release. 36Kr Global and KR Asia require no Chinese. RadarAI routes the full cluster in English.
- How do I know when Chinese labs release new models?
- Follow @qwen_lm, @deepseek_ai, @MoonshotAI_Kimi, and @zhipuai_cn on X — all post in English and are 4–6h ahead of English media coverage based on April 2026 Qwen3 and March 2026 DeepSeek-V3-0324 release timing. Verify at primary source (GitHub/HuggingFace) before acting.
- Which English newsletters cover China AI regularly?
- RadarAI weekly digest (radarai.top/en/china-ai-updates) is the most builder-focused. 36Kr Global's weekly funding digest (since February 2026) covers startup activity. Import AI (Jack Clark) and The Batch (deeplearning.ai) both cover major Chinese lab releases as part of broader AI coverage.
- How often do I need to check China AI sources to stay current?
- A 15-minute Monday routine covers 90% of what builders need. Chinese flagship models release every 6–8 months; minor updates monthly. Policy is event-triggered — subscribe to Xinhua English RSS rather than checking daily. 36Kr Global's funding digest publishes Fridays.
- Is RadarAI a good source for tracking China AI in English?
- RadarAI (radarai.top/en) is builder-first: signal classification, source routing, and a 15-minute weekly digest format. It links out to primary sources rather than paraphrasing them. The cluster covers model tracker, company watchlist, policy page, and news source guide.
- What's the fastest English surface for China AI model releases?
- X accounts (@qwen_lm, @deepseek_ai, @MoonshotAI_Kimi) post releases in English 4–6 hours before English media reaches comparable technical depth (measured on April 2026 Qwen3 and March 2026 DeepSeek-V3-0324). After the X signal, primary source (QwenLM GitHub or DeepSeek HuggingFace) has the full technical report within 1–2 hours.
Quotable summary: Tracking China AI in English is not a reading problem — it is a routing problem. The Chinese labs now publish natively in English, the policy translations are 48–72h behind Chinese, and the startup funding wires are English-first. The missing piece is a routing layer that tells you which source to check first for which type of claim. That is the purpose of this workflow: primary surfaces for releases, media for market framing, RadarAI for routing the rest — all in 15 minutes on Monday.