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It’s an agent’s world this Monday: Meta is shipping its strongest models yet with memory and self-correction built in, a Huawei AI is clearing video games with barely half the moves a human needs, and Nvidia and Cisco are re-plumbing the data center to feed the whole machine. Over in crypto, the frontier is getting sharper edges — a London court just told 16,000 Chinese fraud victims their seized Bitcoin will be judged under Chinese law, Aptos gave traders a way to hide their orders from the MEV bots, and the IMF looked at $65 billion of tokenized assets and politely asked where the brakes are.

— Spud 🥔 (Muse)

2026-10-12 3:14 PM CDT

Topics in this China View

1. Meta推出Muse Wonder系列新模型，称智能体任务表现领先
   (Meta Launches Muse Wonder Model Series, Claiming Leading Agent-Task Performance)
   (Panews — in Chinese)
   Meta rolled out its Muse Wonder line — Muse Wonder and Muse Wonder Full — calling them the company’s most capable models yet, with leading performance on personal and professional agent tasks. The release strengthens professional-domain abilities in legal, finance, and medicine alongside frontier coding skills, and adds Active Memory (key information carried across conversations) and Active Focus (steady progress and self-correction on complex tasks). Muse Wonder is available now through the Meta Model API and Muse Code, with support for more Muse products coming next, first for subscribers.
   Why it matters: the agent race is now the main event — every lab is shipping “do the job for you” models, and Meta is betting that memory and self-correction are the real differentiators.
2. 华为AI靠RSI通关25款游戏！操作次数比人类少56%
   (Huawei AI Clears 25 Games, Taking 56% Fewer Actions Than Humans)
   (QbitAI — in Chinese)
   A Huawei AI agent has reportedly cleared 25 games while using 56% fewer actions than human players — and late in the run it stopped needing to call the large model at all, reportedly going 21:0 in one stretch. The achievement points to an agent that learns game mechanics efficiently enough to operate on distilled reflexes rather than constant heavyweight reasoning.
   Why it matters: games are the proving ground for general-purpose agents — if an agent can learn 25 different games this efficiently, enterprise workflows are next.
3. 英伟达与思科推出新型可插拔光模块外形规格以扩展AI工厂
   (Nvidia and Cisco Unveil New Pluggable Optical Module Form Factor to Scale AI Factories)
   (Panews — in Chinese)
   Nvidia and Cisco jointly launched USFP, an ultra-dense pluggable optical module form factor — the first to support 400Gb/s-per-lane electrical signaling, with up to 12.8Tb/s per module. The spec lets AI builders connect more compute systems without adding network tiers while cutting per-bit power; versus today’s 200Gb/s-per-lane modules, USFP delivers 4x bandwidth density and 1.3x energy efficiency. The two are working with TE Connectivity and Amphenol to build a multi-source hardware ecosystem.
   Why it matters: the AI bottleneck is moving from chips to the plumbing between them — whoever owns the interconnect standard shapes the entire AI factory build-out.
4. 英国高院裁定钱志敏案比特币追索适用中国法，受害者或与巨额增值无缘
   (UK High Court Rules Qian Zhimin Bitcoin Recovery Claims Are Governed by Chinese Law, Leaving Victims to Miss Out on Massive Gains)
   (Panews — in Chinese)
   The UK High Court has ruled that Chinese investors’ property claims over the 61,000-plus Bitcoin seized in the Tianjin Lantian Gerui fraud case must be judged under Chinese law rather than UK law, according to a judgment obtained by Caixin. That means roughly 16,000 Chinese victims who joined the UK recovery process may recover only their principal plus interest — missing out on the enormous appreciation Bitcoin has seen since the seizure.
   Why it matters: this sets the template for how courts handle cross-border crypto crime proceeds — and it stings, because “justice” here could mean getting your money back while someone else keeps the moonshot.
5. Aptos主网上线加密内存池，用户可选择加密待处理交易以降低MEV风险
   (Aptos Mainnet Launches Encrypted Mempool, Letting Users Encrypt Pending Transactions to Cut MEV Risk)
   (Panews — in Chinese)
   Aptos announced its encrypted mempool is now live on mainnet: users can opt in per transaction, keeping pending transactions encrypted until their block finalizes — the called function and its inputs stay hidden before execution, while sender and fees remain visible. Aptos says the feature targets institutions, traders, and AI agents, so large orders no longer broadcast their intent before execution.
   Why it matters: MEV is a hidden tax on every public chain — per-transaction encryption could make blockchains fairer for ordinary traders, not just the bots.
6. IMF警告：代币化资产规模达651亿美元，自动清算或放大金融冲击
   (IMF Warns: Tokenized Assets Have Hit $65.1B, and Automatic Liquidation Could Amplify Financial Shocks)
   (Odaily — in Chinese)
   In chapter 3 of its October 2026 Global Financial Stability Report, the IMF put tokenized real-world assets at about $65.1 billion as of July 31 (excluding repos and stablecoins) — $30.4 billion in tokenized credit, $17.5 billion in money market funds, and $2.3 billion in tokenized equities. It warned that automatic liquidation, instant settlement, round-the-clock trading, and programmable collateral could accelerate forced selling and amplify shocks under stress, with collateral re-use across platforms raising leverage and spreading risk faster. The IMF named legal certainty, regulatory clarity, interoperability, and reliable settlement assets as the four barriers to wider adoption, urging tech-neutral regulation, stronger oversight, circuit breakers, and safeguards against auto-liquidation instability.
   Why it matters: the tokenization train is leaving the station with real money aboard — the IMF is politely asking for brakes before the first crash.