Cambricon

“Three institutional objects on three different surfaces — one ideological (Qiushi, the Party’s theoretical flagship), one diagnostic (Zhishashe, an independent institutional-economics analysis piece), one competitive (a WeChat-monitor Xinchuang-industry half-year scorecard). First, Chen Kaihua’s August 31 article in Qiushi (2026/17), a State Council-affiliated policy-researcher profiled as an invited professor at UCAS, formally places open source at the center of a national scientific-research reform agenda — for the first time, on a Chinese party-theoretical surface, listing 开源社区 (open-source community) alongside data platforms and AI research agents as a formal 科研主体 (research subject), and proposing ‘a national-level open-source community for AI-driven research’ with an explicit mechanism combining ‘code contribution and compute incentive’ (代码贡献与算力激励) — a structurally new institutional formulation on the same research-paradigm question that the September 9 briefing’s CCTV codification first broadcast to a general audience. Second, Qinghe, editor-in-chief of Zhishashe (智本社), publishes a ~7000-word institutional-economics comparative analysis — ‘中国大厂：两边通吃’ (Chinese Big Cos: Eats Both Sides) — comparing commercial-credit behavior across 5,382 A-share non-financial firms versus 1,523 U.S. non-financial firms, documenting a 5.33-trillion-yuan net payable-receivable surplus on the Chinese side (8.4% of revenue) against a 0.14-trillion-dollar net deficit on the U.S. side (−1.2% of revenue), and reading Chinese large manufacturers as institutional ‘shadow banks’ (影子银行) with interest-income-to-interest-expense coverage rising from 38% to 97% over 2017-2025 — an independent diagnostic that pairs directly with this series’ August 26 Heilan ‘going-global’ institutional critique, applying the same institutional-economics frame to a different institutional surface (domestic commercial credit, not export). Third, Xinchuang-Lutoushe (信创露透社) publishes a September 1 half-year scorecard for 36 Xinchuang vendors across 8 segments — the sharpest institutional-economics finding being the divergence between the hardware layer (Cambricon 半年净赚23亿 turning profitable at 2.3B yuan, Muxi turning profitable at 0.6B yuan, Hygon at 9.1B revenue 12.16x the next-largest domestic-CPU rival) and the integration-vendor layer (Taiji dropping its profit 281x to a 350M yuan loss on a 72% market-cap decline from its April 2023 peak) — an institutional-form observation about where the domestic-substitution process is producing cash flow versus where it is producing debt and loss. One perspective, not a verdict.”

“Three institutionally new placements on Chinese open source, at three different surfaces, in the same week. First, the PyTorch Foundation (a Western-neutral foundation under the Linux Foundation) formally grants China’s four largest AI companies — Alibaba Cloud and Cambricon as Platinum members with Governing Board + Technical Advisory Council seats each, and Ant Group as a Gold member — joining Huawei’s 2023 entry and its documented success in making Ascend NPU the first non-NVIDIA platform in PyTorch, converting the Chinese AI-industry’s already-large contributor base (250+ Chinese organizations contributing to DeepSpeed, Helion, PyTorch, Ray, Safetensors, vLLM) into a structured governance-represented position inside a Western foundation’s decision-making body — a structurally new institutional move on the same Western-neutral-foundation question that this series’ September 5 (Ren Xudong) and September 7 (Huawei AAIF entry) briefings first observed at the AAIF layer, now documented at the PyTorch layer with actual board seats. Second, Bloomberg (September 4, 2026) documents that DeepSeek plans to deploy at least 160,000 Huawei Ascend 950DT accelerators at a ~1-gigawatt data center in Ulanqab, Inner Mongolia — approximately a $2.56 billion order that, if filled, would become one of the largest known clusters of Chinese-designed AI accelerators anywhere, with the institutionally critical qualification that DeepSeek is not using the chips for training — training remains on NVIDIA — but only for inference, a fact that complicates the decoupling-milestone reading that the order’s scale would otherwise invite. Third, the 2026 Open Source Innovation Development Conference (2026开源创新发展大会) held in Shanghai on September 4, 2026, organized by the Shanghai Open Source Information Technology Association under the World Open Source Development Conference筹备 (planning committee) umbrella, formalized three institutional objects in a single session: the ‘Open Source Innovation International Cooperation Declaration’ (开源创新国际合作宣言书), the Shanghai Open Source Industry Investment Fund (上海开源生态产业投资基金, unveiled at Shanghai East Hub International Business Cooperation Zone’s promotion event), and a coordinated industrial-support panel including Muxi Integrated Circuits (沐曦), COPU, and the Tiangong Kaiwu Open Source Foundation — the first documented municipal-scale open-source-industrial-fund unveiling in a conference setting that pairs with the national-level industrial-policy framing (MIIT Liu Yulin, August 28 briefing). Together, the three events document that China’s open-source institutional architecture is now simultaneously being formalized at the Western-foundation governance-seat layer (PyTorch Foundation), the domestic-silicon-decoupling layer (DeepSeek × Ascend 950DT), and the municipal-industrial-fund layer (Shanghai Open Source Industry Investment Fund) — three institutional surfaces on the same unsolved object: the institutional identity of Chinese open source across the Western-neutral-foundation / domestic-silicon-substitution / municipal-industrial-policy borders.”