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AI This Week with PlsAutomate · Yesterday · 22 min

Data Centers Under Fire

AI data centers are now physical targets, and the U.S. AI economy depends on China more than it admits. Here’s the AI news from October 11, 2026: Drone attacks shut down a third Yandex data center in days. One damaged site holds supercomputers used to build Yandex’s AI. A Washington Post investigation shows U.S. companies like DoorDash and Airbnb using Chinese Kimi models, and hyperscalers importing about $45B of AI-related goods from China. Bill Gates warns that AI-powered cyberattacks are the most immediate big AI threat. Big Tech is adopting the Trump administration’s “super intelligence” label. A hands-on test of running a local AI agent with Hermes and Qwen on a Mac Studio: useful, but not fully reliable yet. Late Sunday: Amazon is reportedly negotiating to buy Decart for about $7B, and the U.S. reportedly reversed its limits on sharing frontier models with UK safety testers. The takeaway: AI runs on physical infrastructure that can break. Reliable systems need backups, saved progress and a way to restart cleanly when something goes down.

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AI data centers are now physical targets, and the U.S. AI economy depends on China more than it admits. Here’s the AI news from October 11, 2026:

  • Drone attacks shut down a third Yandex data center in days. One damaged site holds supercomputers used to build Yandex’s AI.
  • A Washington Post investigation shows U.S. companies like DoorDash and Airbnb using Chinese Kimi models, and hyperscalers importing about $45B of AI-related goods from China.
  • Bill Gates warns that AI-powered cyberattacks are the most immediate big AI threat.
  • Big Tech is adopting the Trump administration’s “super intelligence” label.
  • A hands-on test of running a local AI agent with Hermes and Qwen on a Mac Studio: useful, but not fully reliable yet.
  • Late Sunday: Amazon is reportedly negotiating to buy Decart for about $7B, and the U.S. reportedly reversed its limits on sharing frontier models with UK safety testers.

The takeaway: AI runs on physical infrastructure that can break. Reliable systems need backups, saved progress and a way to restart cleanly when something goes down.

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