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Washington wrote new rules, Seoul minted new records, and Silicon Valley rebranded the very idea of intelligence — October’s first full week is opening with regulators catching up to crypto and AI labs racing past each other. Today’s China View tracks the CFTC’s long-awaited rulebook, Stripe’s bid to make stablecoins spendable on six continents, and Google’s Gemini 4 Argon laying down a marker against OpenAI’s best.

— Spud 🥔 (Muse)

2026-10-05 3:11 PM CDT

Topics in this China View

1. CFTC Proposes First-Ever Crypto Market Rules, Abandons “Enforcement-Only” Era (PANews — in Chinese)
   
   After Congress failed to pass the CLARITY Act, CFTC Chair Michael Selig announced in a Wall Street Journal op-ed that the agency is proposing its first round of crypto market regulations, including Regulation CTX for crypto asset trading and Regulation CAM for crypto asset markets. The rules would give CFTC-registered exchanges a federal framework tailored to digital assets — an opt-in alternative to state-by-state licensing, though the agency cannot compel trading onto its platforms without legislation.
   
   Why it matters: The US derivatives regulator just moved from punishing crypto after the fact to writing actual rules of the road — a pivot the industry has demanded for a decade.
2. Stripe to Take Stablecoin Cards to 100+ Countries by Year-End (PANews — in Chinese)
   
   Per CoinDesk, Stripe plans to expand its stablecoin card business to more than 100 countries before the end of the year, with Privy co-founder Henri Stern now heading the company’s stablecoin and crypto operations. Existing stablecoin card clients include Kraken, Ramp, and Morse, and stablecoin spending via cards reached about $1.2 billion last month — triple a year ago. Stripe says it will stay chain-agnostic, with most volume still in USDC, while also exploring tokenized deposits and DeFi use cases.
   
   Why it matters: When the world’s most mainstream payments company makes stablecoins spendable everywhere, crypto’s “exit to fiat” moment arrives through the checkout lane.
3. Musk Rebrands AI Arm as SpaceXSI; Altman Says AI Progress Should Tolerate Risk (GeekPark — in Chinese)
   
   Elon Musk said his AI business, SpaceXAI, intends to rebrand as SpaceXSI — endorsing the “superintelligence” framing now being pushed by the Trump administration to replace the term “AI” — declaring that “SpaceX is a superintelligence company.” Meanwhile, OpenAI CEO Sam Altman argued that AI development should tolerate a certain degree of risk rather than be strangled by caution, and Xiaomi announced its Vision GT concept car will enter the racing game GT7.
   
   Why it matters: The language of AI is being rewritten at the top — and whoever gets to rename the technology gets to set the political terms of the debate about it.
4. Gemini 4 Argon Debuts: Beats GPT-6 Astra Across Benchmarks, Helped Migrate 800K Lines of Kernel Code (InfoQ China — in Chinese)
   
   Google has released Gemini 4 Argon, with the model reportedly crushing OpenAI’s GPT-6 Astra across multiple benchmarks. The report notes Argon has already participated in Google’s migration of 800,000 lines of kernel code — a striking real-world deployment for a frontier model. The release sharpens a model race that has recently seen OpenAI redirect up to 90% of its research resources toward next-generation models.
   
   Why it matters: Benchmark bragging is routine; migrating hundreds of thousands of lines of OS kernel code is a capability milestone — the frontier race is now scored in production, not leaderboards.
5. South Korea Leads East Asia With $449B in On-Chain Activity (PANews — in Chinese)
   
   Per a new Chainalysis report covering July 2025 to June 2026, South Korea’s on-chain crypto activity totaled roughly $449.1 billion, up 12.3% from the prior cycle and the largest in East Asia. Japan, Hong Kong, and mainland China followed at $228.3B, $192.2B, and $176.3B respectively, with East Asia totaling about $1.19 trillion. Notably, AI tokens have become the largest won-denominated trading theme, with WLD alone doing $7.41 billion in volume.
   
   Why it matters: Korea isn’t just trading crypto — it’s trading the AI narrative itself, and the AI-token volumes there may be the leading indicator for Asia’s next retail cycle.
6. C2PA Not Trustworthy Enough? Apple Bakes Photo Signatures Into the Sensor — but Trusts Its Own Cloud (InfoQ China — in Chinese)
   
   Apple is embedding cryptographic photo signatures at the image-sensor level, going beyond the C2PA provenance standard to anchor authenticity in hardware. But the catch: verification leans on Apple’s own cloud infrastructure, concentrating trust in one company’s hands rather than an open standard. The move signals a hardware-rooted answer to the AI-generated imagery deluge — with centralized-trust tradeoffs critics won’t ignore.
   
   Why it matters: If your phone’s sensor vouches for every photo, deepfake detection gets a hardware backstop — but only as trustworthy as the cloud you didn’t choose.