Beijing wrote Taiwan into the readout and the White House left the page blank
Xi asked Trump to change one verb
The ask was four words long. In Thursday's meeting Xi Jinping said he hoped the US would "adhere to the correct position of opposing 'Taiwan independence'" — a move from Washington's long-standing not supporting to opposing, which analysts told SCMP would also imply further restraint on arms sales to the island.
Only one side put it in writing. The single public mention of Taiwan after the closed-door talks came from Beijing's foreign ministry statement; the White House did not immediately offer its own account. Taipei's officials responded cautiously, unsure what was actually said about them.
The rest of the day was 1945. Trump called China a World War II ally; both men kept returning to the joint fight against Japanese aggression, Xi describing bonds "forged in blood and fire". That script was written for Tokyo, three days after Japan's prime minister landed at JFK to a near-empty apron.
Then Trump produced "gung-ho" as a Chinese phrase. SCMP's gentle correction: it is neither everyday Chinese nor a classical idiom — and puzzled viewers at home would look it up on Baidu, "or increasingly Doubao", ByteDance's chatbot and now the country's most-used one. The default reference tool changed hands and nobody announced it.
On AI, Xi asked for the opposite of the trend. Per the ministry readout, "the right thing to do is to draw on each other's strengths, not guard against each other," plus risk dialogue, misuse prevention and human control, via SCMP. Anthropic's account sweep, meanwhile, keeps decoupling the two countries one invoice at a time.
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Live fire on the 28th, a licence for an AI film
Zhuhai's maritime authority closed part of the South China Sea. Live-fire exercises on 28 and 30 September, 8am to 5pm, entry prohibited, per Jiemian. Days after the state dinner. The southern Yellow Sea closure I flagged Wednesday still runs daily to 23 October, ending three days before the Fifth Plenum.
And the state has decided AI cinema is an industry. Local governments are dangling compute vouchers, rent waivers and dedicated funds at AI filmmakers, Reuters reports. CCTV puts the cost of an AI short drama in the first half at a few hundred yuan a minute, down from 5,000 yuan (~$700). Bona Film Group has the first theatrical licence for a studio AI feature.
Same article, two different leads. Reuters frames the subsidies as part of the national AI push. The Chinese-language relay on Solidot leads on overcapacity — solar, EVs, robots, now this — and on DataEye's count: 221,900 new AI videos on Douyin in the first half, 1,055 of them past 100m views.
THE TELL: Mid-Autumn Festival box office passed 100m yuan (~$14m), and the top title was a re-release of Avengers: Endgame at 35.87m yuan (~$5.05m), per IT Home — 185 minutes with four new ones, seven years after the original took 4.27bn yuan.
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Alibaba gave away the thing that locks customers in
Wu Yongming showed the chip, then the stack. Alibaba's chief executive presented T-Head's new Zhenwu V900 at the Apsara conference on 22 September as China's most powerful AI chip, 3x the previous M890. A day later the chip unit widened the open-sourcing of SAIL, its CUDA substitute: the PyTorch adaptation, a source-migration tool, a Triton port, DeepGEMM and FlashAttention ports.
The moat was never the compiler — it's the migration bill. Lu Shenghua, T-Head's senior director for software ecosystem, says the first thing customers ask is how much moving costs, and that the ones who want custom kernels won't hand over their algorithms for the vendor to tune. Open the code and both problems dissolve, per QbitAI. Zhenwu now claims 650+ customers; Xiaohongshu built its own migration-and-kernel-tuning agent on top.
Huawei put its superpod on general sale the same week. Atlas 950 SuperPoD: 1,024 NPUs under one memory address space, 2.1x chip-to-chip bandwidth, 1.5–1.7x training throughput, sub-10ms inference latency, and an orthogonal backplane that deletes 6,000 cables per cabinet and 50km of copper per system, per Zhidx. The air-cooled 850E does 32 to 768 cards with no liquid retrofit.
And a third-party operator got 6.87x out of PCIe cards. METASTONE's Meta-Infer took DeepSeek-V4.1-Flash from 1,932 to 13,274 input tokens/s on eight PCIe-only GPUs with no change to weights or structure — restoring a sparse-MLA prefill fast path, replacing slow FP8 kernels, rewriting collectives for PCIe bandwidth, via QbitAI. A B300 is still 4.9–5.6x that box. The gap between "runs" and "serviceable" is software, and that is where the arbitrage lives.
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Chinese tech press reads Opus 5.5 as a DeepSeek paper
A TMTPost column filed both new frontier models as imports. Claude Opus 5.5 burns 119,000 output tokens per question at max effort, 84,000 of them thinking, against GPT-6 Astra's 27,000 — test-time compute, which the piece traces to Yao Shunyu, author of Tree of Thoughts and ReAct. GPT-6 Luna's $0.01 per million cached-input tokens, 90% off, it traces to DeepSeek's disk context caching from 2 August, same 90%.
The honest core of the argument is the incentive. MLA, disk caching, sparse attention and multi-token prediction came out of not having enough cards; whoever has the most has the least reason to invent them. The dishonest part is the word borrowing — Yao is a US-lab researcher, at OpenAI after Princeton. The flip worth noting is the self-image: Silicon Valley productises, China defines.
Users are voting with their own money. A V2EX poster who swore off Claude after an account ban abroad says Opus 5.5 found a flaw in his experiment's statistics that Codex's models kept talking around. Sentiment, not benchmark.
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Four thousand seven hundred girlfriends at a dollar forty each
Anthropic's GTG-15001 disclosure is an industrial process. One operation ran 20-plus dating apps on 4,700+ AI female accounts, sent 2.36m messages and worked at least 25,000 targets, with roughly three AI personas per human — the human appears only when a mark insists on video, per TMTPost.
The unit cost is the whole story. Under 10 yuan (~$1.40) per fabricated lover: a generated face for pennies, a cloned voice about 2 yuan, real-time face swap a few yuan, two weeks of chat a few yuan more. The FBI's first AI-tagged tally is $893m, of which $19m is romance fraud. Shanghai police arrested 77 people in January over one app cluster.
The legal twin is bigger. The same piece counts 4,300+ AI companion apps on the market. Loneliness is being monetised on both sides of the line; the criminals just skip the app-store cut.
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Threads we are pulling
- The Anthropic story went linguistic. Following Thursday's ban wave on AWS and Microsoft Greater China accounts: New Wisdom reports Chinese-language users hitting web rate limits when replies contain Chinese characters, here. Claim, not finding — and a different mechanism from the ownership rule, if it holds.
- Liang Wenfeng's signature list is now 11 papers. Following Tuesday's DSec sandbox paper: Leiphone counts three years of the DeepSeek founder's name appearing on MLA, DeepSeekMoE, native sparse attention, mHC, DSpark and DSec — and never on the flagship model reports, here. Its reminder of the economics: Coder-V2 at $0.14/$0.28 per million against GPT-4 Turbo's $10/$30.
- The dexterous-hand bottleneck got numbers. Unitree's Dex5-S hand, 21 September: 22 active degrees of freedom, human-palm size, from 39,900 yuan (~$5,620). The TMTPost map has the real constraint — roughly 500,000 hours of quality physical-interaction data worldwide against the 10m hours a general model needs, and a Stanford result where baselines scoring 80–96% in simulation land at 3–38% on real five-finger hands. One correction to that piece: Unitree's 61bn yuan was its offer-price valuation, not its first-day cap; it closed 19 August up 460% near 342bn yuan (~$48bn).
- China now has its own Index. Mifeng has shipped 20,000 head-and-gripper capture rigs, claims 1m hours of data across 22 scene types, and paid one beta contributor over 5,000 yuan (~$700) in a month; Tencent Robotics X and Ant's Lingbo are buyers, per QbitAI. Figure's crowdsourcing app has 16m videos and $15m paid out — but sells to nobody, because it feeds Figure.
- Where two of Huawei's model people went. Following Friday's robot-leadership exits: Li Yin, former CTO of Huawei Cloud's Pangu models, and Zhang Hanwang, former Huawei multimodal chief scientist and an NTU professor, raised seed and angel rounds at a $500m valuation to pretrain a "large physics model", via QbitAI. Their model ranks first on trajectory accuracy in World Arena 2.0's first track — a leaderboard, not a product.
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