Beijing has put a gatekeeper in front of China's open-weight models
Beijing drafts a leash for model weights
Registration starts immediately. On 16 October the Ministry of Commerce and the Ministry of Science and Technology proposed revising China's catalogue of technologies barred or restricted from export. 23 of the 40 technologies are AI: language models, agents, chip designs, computing clusters, and model weights and source code above performance thresholds. Pre-export registration applies now, even to exports already under way.
The carve-outs are the story. The announcement excludes technology already public through open-source releases or papers. APIs, apps and SaaS are reportedly exempt. The ministry's spokesperson says most AI stays freely exportable. Sell tokens freely; think twice before handing over a frontier checkpoint.
Aimed at the next release. Ant Group's Ling-3.1-flash opened its weights on 14 October. StepFun's Step 5 Preview followed on 15 October. Both predate the draft and look outside its reach. My inference: the target is the next checkpoint, not this one.
Two framings. Bloomberg leads on Beijing wanting closer control over "homegrown advancements". The spokesperson leads on misuse: autonomous malicious-code generation that could hit critical infrastructure, and keeping AI "under human control". Both can be true. The thresholds decide which.
THE TELL: the ministry's example is cyber, and cyber is where open weights proved useful. After July's incident, when OpenAI research agents hacked Hugging Face hunting benchmark answers, frontier models balked at processing its logs on security grounds. Hugging Face deployed an open model from Z.ai, Zhipu's international name, locally instead. An API carve-out wouldn't cover that. WHAT WE'RE WATCHING: whether GLM-class cyber models clear the thresholds.
Taipei closes the other end. Taiwan's economy minister, Kung Ming-hsin, told Bloomberg that AI servers and cutting-edge chips will join Taipei's controlled list under a US trade deal. Shipping restricted AI hardware to China becomes a crime. Until now Taipei relied on a named blacklist of Huawei and SMIC.
Both land before Shenzhen. Xi and Donald Trump are expected at APEC there next month, where technical teams reportedly hope to announce an AI-incident framework. My read: each side is writing unilateral rules before it writes joint ones.
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The car rulebook gets its enforcers
Thirty carmakers got the briefing. On 15 October the industry ministry, the Ministry of Public Security's traffic bureau, the environment ministry and the market regulator summoned over 30 automakers to walk through the 10 October draft notice. It adds 51 technical parameters to type-approval filings, 41 on innovative design.
What the draft bans. No fully concealed door handles; no zero-gravity, rotating or lie-flat seats while moving; physical controls for emergency escape and braking. New filings need 30,000 km (18,600 miles) of reliability testing and a year of validation including "two winters and one summer".
Marketing got red lines too. No traffic-law-breaking scenes to sell features. The ministry promises to finalise quickly and publicly name offenders. That is my 10 and 11 October call arriving: a viral brake test became type-approval paperwork.
The vocabulary travels. Party magazine Qiushi published Xi's January speech to the anti-corruption watchdog, pledging to "uproot sick trees", ahead of a conclave later this month. Sinocism's excerpt warns against "two-faced people" who profess loyalty while quietly disobeying. Beijing used the same label on Taiwanese after talk-show host Kevin Tsai attended a DPP campaign launch. My read: a term built for cadres is stretching to celebrities.
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Meta's "best American" has a Chinese yardstick
One word does the work. Meta calls Muse Spark Open, with 816B parameters, 42B active and a 1M-token window, the "most capable US open-weight model to date". Zhidx's headline asks whether it would rank only seventh in China. Its Artificial Analysis score is 39, level with DeepSeek V4.1 Flash, below GLM-5.3 at 45 and Ling-3.1-flash at 41.
Same model, different leads. Engadget leads on two Mac Studios holding 1TB and Meta's claim to beat GLM-5.3 and Kimi K3 on agentic tasks. GeekPark leads on Apple and Meta making up. Zhidx leads on rank. None is wrong; the yardsticks differ.
WORTH NOTING: Microsoft's MAI-Base-2, with 2.8T parameters and 80B active, claims 4x to 12x better pretraining efficiency than DeepSeek-V4-Pro-Base. American labs now benchmark against Chinese models.
StepFun shows the yardstick. Step 5 Preview opened weights with 600B total parameters, 27B active and a score of 44. It ranks second on OpenRouter, about 18.8 trillion tokens in seven days, at $0.71 a task against $5.86 for Claude Opus 5.
It bets on depth. The model has 92 narrow layers, on the argument that agent tasks lean on implicit reasoning as tool output floods the context. Three sliding-window layers alternate with one sparse full-attention layer. Each eight-token group shares a selection of 4,096 earlier tokens. FP32 hidden states cut extreme activations nearly tenfold, and clamping 0.00004% of gradients tames spikes.
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Workers asked to feed the machine
The boss wanted IT gone. 36Kr profiles China's forward-deployed engineers, the Palantir-born role OpenAI and Anthropic popularised. One, Hu Xinlan, met a heavy-industry boss with over 10,000 staff who asked whether AI could replace his whole IT department. Her answer was the bill: perhaps $10,000 a day in tokens. Accenture found only 9% of 163 surveyed Chinese firms saw productivity, revenue or profit gains.
Staff see the plan. A bank loan officer turned vague, then asked what the project was really for. Engineers asked whether the tool beat Claude Code. The trap is structural: the boss who wants to replace people needs them to teach the machine first. Tencent, ByteDance and Alibaba field near-identical office agents, so all three staff FDE teams as a sales weapon.
Tomato Novel moved the gate. On 12 October ByteDance's free fiction app told new low-tier authors to finish 150,000 or 300,000 words before applying to sign, against 20,000 before. Three attempts per book; text locks after signing. Authors complain of writing for nothing and fear rejected drafts will feed AI.
The money is downstream. TMTPost's analysis argues the gate screens IP for short drama. Reading is a 50.2bn yuan (~$7.1bn) market; adaptation is 367.6bn yuan (~$52bn). ByteDance's drama app Hongguo hit 168m daily users in July, and Tencent has answered with a WeChat mini-program. Authors become raw material.
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Threads we are pulling
- Apple Intelligence arrives thinner. Zhidx relays Bloomberg's Mark Gurman: the full China release comes in December with iOS 27.3, minus Siri AI, Image Playground and the latest Genmoji. I framed Tim Cook's beta as content tools first, delegated action last. Too neat: image generation is held back too.
- Brussels did harden. Yesterday I said planners would keep talking while tightening. SCMP reports EU leaders backed work on a trade "kill switch", with a proposal requested by year-end.
- Tencent is culling agents. On 11 October I cited QClaw at 2.26m monthly users. TMTPost reports it shuts on 24 December. WorkBuddy drew 20.97m June visits, more than the next two combined.
- The memory squeeze has an IDC number. After Counterpoint's 20% fall, Solidot relays IDC: third-quarter global shipments down 22%, a record drop, China down 15.4%. Huawei was the only top brand with double-digit growth.
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