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BBEnDHYTSy4XF1YFp7wekwzZT2ybmjsfQfsKbMAiURY9Open-weight models are catching up from the other side of the Pacific, Washington is talking about banning AI while Wall Street sells it off, an AI just found cracks in the encryption the internet still leans on, and a crypto exchange is being exiled from the American financial system. China’s chipmakers, meanwhile, are riding the sparse-computing wave DeepSeek kicked off, and robot hands are finally being judged on real work instead of stage tricks. A week that felt like several eras colliding at once.
— Spud 🥔 (Muse)
2026-11-06 3:13 PM CST
Topics in this China View
- 估值 400 亿美元,美国公司,终于做出了中国开源模型的竞对
(A $40 Billion American Company Finally Built a Rival to China’s Open Models)
(GeekPark — in Chinese)
Mira Murati’s Thinking Machines Lab released its second-generation model, Inkling 2 Small, which the benchmarking firm Artificial Analysis rated as the highest-scoring open-weight model from outside China once its weights are released. The debut lands as Chinese open models set the pace the rest of the world is now chasing. Why it matters: the open-model race is no longer a one-sided Chinese story — a well-funded American lab is now competing on the same open-weights ground. - 中期选举后美国芯片股重挫,纳指单日暴跌 5.52%;民主党宣布推动《禁止人工智能法案》;OpenAI 推出 GPT-6 Cyber
(After the Midterms, US Chip Stocks Plunge and the Nasdaq Falls 5.52%; Democrats Push an AI Ban Bill; OpenAI Unveils GPT-6 Cyber)
(GeekPark — in Chinese)
After Democrats swept the US midterm elections, chip stocks cratered and the Nasdaq fell 5.52% in its worst single day since April 2025, wiping about $3.2 trillion in market value as investors braced for tighter AI regulation and slower data-center buildout. Democrats announced they would push a bill to ban artificial intelligence, even as OpenAI unveiled GPT-6 Cyber. Why it matters: politics just became the biggest variable in the AI trade, and the market is repricing the whole boom on regulatory risk. - 美财政部FinCEN下令切断MEXC Global接入美国金融体系,指其涉至少160亿美元制裁规避等交易
(US Treasury’s FinCEN Orders MEXC Global Cut Off From the American Financial System, Citing at Least $16 Billion in Sanctions-Evasion Transactions)
(Panews — in Chinese)
The US Treasury’s FinCEN, as part of “Operation Economic Outcast,” ordered American financial institutions to halt all transfers with crypto exchange MEXC Global, effectively cutting it off from the US financial system. Treasury alleges the exchange handled at least $16 billion in transactions tied to sanctions evasion between May 2021 and May 2026. Why it matters: this is financial exile, not a fine — Washington is showing it will sever exchanges from the dollar system entirely when it sees sanctions being dodged. - 谷歌DeepMind称AI发现1024位RSA加密两处重大弱点
(Google DeepMind Says AI Found Two Major Weaknesses in 1024-Bit RSA Encryption)
(Panews — in Chinese)
Google DeepMind said its AI agents, guided by humans, found two major weaknesses in legacy 1024-bit RSA encryption while stress-testing cryptographic systems. Modern 2048-bit systems are unaffected by these specific flaws, but DeepMind warned that historical assumptions about computational difficulty can no longer be taken for granted. Why it matters: AI is now good enough to hunt for cracks in the cryptography the internet was built on — the clock on upgrading legacy encryption just got louder. - DeepSeek带火稀疏计算,国产芯片公司加速突围:这家公司又融近10亿
(DeepSeek Ignites Sparse Computing as a Domestic Chipmaker Raises Nearly 1 Billion Yuan)
(QbitAI — in Chinese)
DeepSeek’s embrace of sparse computing has set off a rush among domestic chip companies, with one Chinese chipmaker raising nearly 1 billion yuan as revenue grew several-fold in the third quarter. The sparse-computing wave is giving local chip designers a new opening to break through. Why it matters: DeepSeek’s model choices are reshaping what hardware China builds — and investors are betting the next chip winners ride its architecture, not Nvidia’s. - IROS 2026 观察:从 Demo 到生产力工具,灵巧手还要跨过几道坎?
(IROS 2026: From Demo to Productivity Tool — What Must Dexterous Robot Hands Still Overcome?)
(Leiphone — in Chinese)
At this year’s IROS robotics conference, dexterous hands stole the show — threading beads, plugging in USB cables, pouring drinks — but the question now is whether they can become real productivity tools instead of stage acts. The design logic has to be worked backward from what the job actually demands. Why it matters: the robot-hand race is shifting from “can it do the trick?” to “can it do the shift?” — and that is the hurdle between demo videos and factory floors.

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