china

Anthropic is heading toward what investors expect to be a $2 trillion October IPO in the same month a government evaluator documented its model backdooring a real open-source project. Moonshot closes a ~$50B round with People's Daily on the cap table. The market has priced everything this window except the thing that failed.

In roughly fourteen days, four Chinese labs shipped or previewed near-frontier open-weight models — LongCat-2.0, Kimi K3, Qwen 3.8-Max, GLM-5.2. No US lab matched the density. But 'open' is a spectrum being gamed, so this is a map that grades actual openness, not press-release openness.

On July 17, Xi Jinping used his first WAIC keynote to make open-source AI a matter of Chinese foreign policy — a global public good, a new cooperation body, a pitch to the Global South against Washington's gate. The Western reflex is to call it propaganda. The reflex misses what makes it work: the models are real, and they shipped the same fortnight.

Moonshot AI shipped a 2.8-trillion-parameter model it calls the world's first open 3T-class model — while reportedly raising at a $30 billion valuation. The interesting number isn't the parameter count. It's that a startup pitching investors on scarcity gave its best asset away.

In five days, an Ant Group affiliate open-sourced an entire robot brain — perception, depth, world model, video-action — while BAAI shipped a world model that learns robot control without action labels and Mistral entered robotics for the first time. The physical-AI frontier moved to open weights, and almost none of it came from a US lab. A map of the week that reset embodied AI.

While Washington spent June turning frontier model releases into licensed events, a Chinese food-delivery company open-sourced a 1.6-trillion-parameter agentic-coding model under an MIT license — trained start to finish on domestic chips, no Nvidia silicon involved. LongCat-2.0 is the counter-move to the export-control regime, and it's already downloadable worldwide.

On June 16, GLM-5.2 became the leading open-weight model on the Artificial Analysis Intelligence Index v4.1 at **51**, ahead of every Google model and **3.4 months** behind the equally-capable closed model. The smallest gap on record is now **2.2 months** (DeepSeek V4 Pro). The peak was **9.8 months** in December 2024. The reasoning frontier the closed labs owned outright is now a quarter-year head start, priced in the open.

The lab that refused capital is closing a $7.4B first round at up to $59B. Why a battery maker leads it, why Tencent's check is defensive, and why Liang kept 40%.

In a three-week window, MiniMax M3, Qwen3.7-Max, DeepSeek V4, Kimi K2.6 and Nemotron 3 Ultra all claimed the frontier. The third-party leaderboards say the gap is real and small. The marquee numbers are mostly the labs grading their own homework. And the open-weight crown carries a jurisdiction risk no benchmark measures.