Research-Evaluation-Incorporation

“Three institutionally new placements on the Chinese open-source surface in the same week as this series’ September 14 briefing documented the seventh surface of state-directed open-source institutional formalization (MIIT’s ‘AI + Software’ Special Action Implementation Plan): (1) GOSIM Shenzhen 2026 (October 16-17, ADEN Hotel, 150+ international speakers, 2,000+ developers, six tracks) publishes a 40-keynote-speaker lineup that for the first time places four institutionally distinct Western surfaces (DHH’s Omarchy keynote, McCrosky’s Trusted Agentic AI keynote, Katarzyna Staroslawska’s EU-policy keynote on AI-native organizations, and Google Cloud’s Tang Xin on Harness engineering for AI game-making pipelines) at a single Chinese-conference venue alongside three Chinese vendor-official surfaces (Huawei’s Ren Xudong on the Black-Light Community paradigm shift, Huawei/Hou Peixin + Ali/Ma Tao Longxi + ByteDance/Jiang Ning + Tencent/Ru Bingsheng roundtable on Agentic Software Engineering, Huawei/Ma Yongqiang LLaMA-Factory committer on the Ascend open-source training ecosystem, Xiaomi/Du Chao on openvela as the AI hardware agent base) and CSDN founder Jiang Tao’s ‘From Open Source Software to Open Source Intelligence’ keynote — the first-documented institutional-form observation in this series of a Chinese open-source conference placing Western individual-foundation founder, EU-regulatory, US-hyperscaler-cloud, and Western-trust-economics surfaces together with Chinese vendor-official surfaces on the same conference program; (2) a CSDN-hosted analytical paper (2026-09-14) formalizes the AGI ‘vertical-and-horizontal axis’ framework — Model Capability Axis (纵轴) as scaling-law / RL / test-time-compute frontier, Harness Trust Axis (横轴) as a five-layer deterministic exoskeleton (session-and-gateway / context-and-compaction-engine / memory-and-state-persistence / tool-sandboxing-and-MCP-execution / verification-and-guardrails-with-PRM) — pairing the Process Reward Model (PRM) as the sharpest institutional-economics layer of the verification-and-guardrails engine, and documenting the 87-percent-executives-prioritize-AI-versus-only-23-percent-confident-in-safe-deployment governance-gap statistic and the Anthropic RSP v3.0 ‘game-theoretic-dilemma’ framing of voluntary-slowdown; (3) RVOH Open Source Innovation Academy’s follow-up analysis (Ministry of Industry and Information Technology Letter [2026] No. 209) operationalizes the September 14 briefing’s Move 4 (research-evaluation-incorporation) into three specific open institutional-design questions — who certifies / how to quantify / how to prevent gaming — while documenting OpenHarmony’s 1.4 billion lines of code across 13,000 contributors and RISC-V SPMP’s China-led position on the same research-evaluation-incorporation surface. Together, the three stories document a structurally new institutional pattern: the same Chinese open-source surface is being operationalized simultaneously at the Western-foundation-conference-program layer (GOSIM Shenzhen), at the Chinese-analytical-framework-publication layer (CSDN Harness Trust Axis paper), and at the Chinese-administrative-follow-up-analysis layer (RVOH research-evaluation-incorporation operational design) — a three-surface-simultaneous-institutionalization pattern that pairs with this series’ September 14 briefing’s documentation of the seventh surface of state-directed open-source institutional formalization at the national-industrial-policy layer.”

“MIIT’s office issues the AI + Software Special Action Implementation Plan on September 11, 2026 — the seventh documented surface on the Chinese open-source institutional-architecture question that this series’ prior twenty-four briefings have been tracking — making five institutionally new moves that extend the September 6 briefing’s MIIT AI SME Startup Support Plan (31号) on the same unsolved object: (1) the plan formally directs the construction of an ‘Agent Software Application Store’ (智能体软件应用商店) and a ‘Skills Resource Library’ (Skills 资源库), a specific state-directed institutional apparatus for agent-software distribution and skill-pack distribution — the same distribution-surface move this series documented at the Android-app-store layer in the September 3 CAC Qinglang Phase 2 briefing, now operationalized at the agent-software layer; (2) the plan explicitly names ‘independent open-source license application and compliance guidance’ (自主开源许可协议应用与合规指引) as a supported direction, the first administrative-document use of Mulan-family-license promotion as a national industrial-policy instrument; (3) the plan introduces a quality-open-source-project selection-and-cultivation mechanism with open-source project first-release at community (社区首发), an institutional-design move that pairs a state-directed project-selection mechanism with a community-first-release operationalization; (4) the plan explicitly directs that open-source contributions be incorporated into research-evaluation and talent-certification systems at universities, research institutes, and enterprises — extending the September 6 briefing’s star-count-as-administrative-metric move (which placed GitHub-style star counts alongside invention patents and highly-cited papers as one of four national-level evaluation indicators) into a broader research-evaluation-incorporation move at the higher-education and research-institute layer; (5) the plan pairs the open-source moves with a 2028 target of 5+ quality open-source projects (5个以上优质开源项目) and a 2030 target of multiple open-source communities with international influence — the first time a national industrial-policy document attaches quantitative open-source-project targets to the industrial-policy horizon. Together, the five moves document a structurally new institutional-form object: the state-directed-app-store / independent-license-compliance / community-first-release / research-evaluation-incorporation / quantitative-project-target pairing is the sharpest documented formalization of open-source as a state-directed industrial-policy instrument at the national-industrial-policy surface, and it pairs institutionally with this series’ prior briefings’ documentation of open-source at the administrative-control layer (CAC, September 3), the party-theoretical-flagship layer (Chen Kaihua, Qiushi, September 11), the Western-foundation-governance-seat layer (PyTorch Foundation, September 10), and the administrative-industrial-policy layer (AI SME Startup Support Plan 31号, September 6).”