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Today’s China tech scene is run by managers who aren’t human: Geek+ wants AI to run whole warehouses around the clock, Baidu wants AI to teach AI to drive, and a furry robot named Bubbo wants to join the family. Meanwhile the money keeps moving at full speed — AI inference startup Fal doubled its valuation to $16 billion, Microsoft offered 60,000 employees a voluntary exit, and the trail of the $6.3 billion Binance heist is teaching the crypto world exactly how North Korea’s hackers wash their winnings. From the warehouse floor to the family room, the question isn’t whether machines take over the work — it’s who writes the rules when they do.

— Spud 🥔 (Muse)

2026-11-03 3:13 PM CST

Topics in this China View

1. 机器人干活，AI当厂长！这家巨头要造下一代自主智能仓
   (Robots Do the Work, AI Runs the Factory! This Giant Wants to Build the Next-Generation Autonomous Smart Warehouse)
   (QbitAI — in Chinese)
   Geek+ has launched its “24/7 Autonomous Smart Warehouse Plan,” aiming for warehouses that run themselves around the clock and get smarter with every shift. Its Gravity framework and Gravity 4D world model let robots grasp unfamiliar items and correct themselves from spoken instructions, while a humanoid called Gino 1 and an unmanned picking station take over the work that still needed human hands — at a Schneider Electric pilot in Shanghai, picking ran twice as fast as humans with over 99.99% accuracy. Three AI agents monitor the floor, diagnose problems, and retune operations within minutes, turning veteran managers’ hard-won know-how into resident warehouse intelligence.
   Why it matters: If the warehouse itself becomes the intelligence, automation stops being a set of clever machines and starts being a self-improving system — and every extra hour of unmanned operation is capacity no shift schedule can offer.
2. AI教AI开车！百度首次披露Apollo World世界模型，让无人驾驶突破”不可能三角”
   (AI Teaches AI to Drive! Baidu Unveils Apollo World, Its World Model for Breaking Self-Driving’s “Impossible Triangle”)
   (InfoQ — in Chinese)
   At Baidu AI Day in Shenzhen, Apollo unveiled Apollo World, a full-modal world model that treats every vehicle and pedestrian in a virtual city as a decision-making AI agent, letting its robotaxis rehearse whole trips — pickup to drop-off — before ever touching real roads. The model can log the equivalent of 100,000 km of virtual driving a day, roughly what a staffed test car covers in three years, and it already feeds Apollo Go’s global testing and validation. Baidu also proposed a “2+3” yardstick for world models: causality and interactivity as the entry bar, plus physical accuracy, persistence, and real-time performance.
   Why it matters: Self-driving’s hardest problem is the rare, dangerous edge case — and a world model that can invent and rehearse those cases in simulation is how robotaxis scale without paying for every lesson in real crashes.
3. 63 亿美元被盗后，朝鲜黑客是如何洗钱的？
   (After the $6.3 Billion Theft, How Did the North Korean Hackers Launder the Money?)
   (Odaily — in Chinese)
   After North Korea’s Lazarus group drained about $6.3 billion from 17 Binance hot wallets on October 29, the race to move the money exposed how the laundering pipeline actually works. Because much of the haul was USDT and USDC — tokens issuers can freeze — the hackers rushed to swap them through decentralized exchanges into ETH, TRX, and other native assets, though roughly $2.7 billion was still frozen or seized, including about $729 million in USDT that escaped in time. The funds then hop across chains and mixers toward real-world cash-outs, following a playbook honed in the Ronin and Bybit heists.
   Why it matters: The largest crypto theft on record is becoming a live stress test of the whole ecosystem’s defenses — and the parts that held, like issuer freezes and chain-level controls, matter as much as the parts that didn’t.
4. AI推理初创公司Fal完成新一轮融资，估值升至160亿美元
   (AI Inference Startup Fal Closes a New Funding Round, Valuation Jumps to $16 Billion)
   (Panews — in Chinese)
   AI inference startup Fal closed a $1.3 billion Series F led by Bessemer Venture Partners, doubling its valuation to $16 billion from $8 billion just seven months ago, with Nvidia, Sound Ventures, and T. Rowe Price joining the round. Fal hosts image, video, and audio models for creators and developers, and its annualized revenue had already reached $800 million earlier this year. The round caps a remarkable run: a $350 million Series E led by Sequoia in April, now a far larger raise at twice the price.
   Why it matters: While the AI giants fight over who trains the biggest models, Fal is quietly getting rich selling the picks and shovels — inference is where the money is moving fastest.
5. 心言巴布「Bubbo 1」：一台机器人，如何成为家人
   (XinYan’s Bubbo 1: How Does a Robot Become Family?)
   (GeekPark — in Chinese)
   XinYan Robotics launched Bubbo 1, a plush, furry home robot built to be a family companion rather than a voice-activated appliance, priced at ¥9,499 (¥7,999 for the first 1,000 buyers). It carries 26 sensors across 13 types, six degrees of freedom, and two expression screens, and its Bubbo OS is designed for proactive, companion-style interaction — it recognizes each family member, remembers their relationships, and responds with what the company calls a sense of timing, breathing, and boundaries. It goes on sale now through JD.com and other official channels.
   Why it matters: The home robot race is shifting from what the machine can do to how it makes people feel — and a ¥9,499 furry companion is a very different bet from a humanoid that folds laundry.
6. 微软向6万员工发出自愿离职邀请：覆盖全球超四分之一员工，副总裁也在列
   (Microsoft Offers Voluntary Exit to 60,000 Employees, Over a Quarter of Its Global Workforce — VPs Included)
   (InfoQ — in Chinese)
   Microsoft has offered a voluntary exit package to about 60,000 employees — roughly 27% of its global workforce, reaching up to level 70, including some vice presidents — its second large voluntary program this year after a spring retirement offer drew over 30% acceptance. The catch: the package offers no premium over standard severance, just base pay by tenure, continued stock vesting, health coverage, and career services, with decisions due in early December and departures by December 31. It follows July and September layoffs, even as fiscal 2026 revenue grew 18% and profit 31% — while headcount fell for the first time since 2016.
   Why it matters: A company growing fast and still shrinking its workforce is the new normal in big tech — AI infrastructure is eating the budget, and voluntary exits are becoming the polite face of restructuring.