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Chinese leader Xi Jinping proposed a “World Artificial Intelligence Cooperation Organization” at APEC, with state media suggesting Shanghai as a possible base — a bid to create an international body to coordinate AI regulation, standards and governance. That development, alongside Sam Altman’s public defense of OpenAI’s unusual hybrid structure as necessary to build “what should be the largest non‑profit ever,” highlights an intensifying global race over who sets rules and funds compute‑heavy AI projects. For the AI/ML community this matters because competing governance models (multilateral institution vs. well‑capitalized nonprofits/capped‑profit firms) will shape access to compute, safety standards, auditability and cross‑border data flows. A clutch of shorter items signals practical and social implications: analyses on the “great decoupling” of labor and capital underscore structural economic risks as automation shifts returns toward owners of AI systems; Kevin Rose’s pithy hardware litmus test (would you want to punch someone wearing it?) points to social acceptability and ergonomics as critical constraints on wearable AI adoption. Product and ethics threads include a simple-but‑controversial UX trick—misreporting signal strength to boost perceived coverage—and operational notes like how the ISS continues routine work despite U.S. government shutdown impacts. Together these stories map governance, funding, human factors and ethical tradeoffs that will shape AI deployment and policy.