Google's AI Just Created a Digital Twin of Earth

Google just mapped every 10x10 meter square of Earth. The catch? They trained an AI on trillions of images to see through clouds.

AlphaEarth Foundations doesn't wait for satellites. It creates virtual ones, mining petabytes of radar, laser, climate data to generate maps "at any place and time." Scientists who spent months processing satellite data now get results instantly.

The numbers are staggering: 1.4 trillion embedding footprints per year. Each 10x10 meter square tracked continuously. Storage requirements slashed 16x compared to other AI systems. Brazil's MapBiomas calls it transformative: "Maps that are more accurate, precise and fast to produce—something we would have never been able to do before."

Here's what changes everything: It sees through Ecuador's persistent cloud cover to map individual agricultural plots. It details Antarctica's surface where satellites rarely image. It reveals Canadian farmland variations invisible to human eyes. The Global Ecosystems Atlas is already using it to map uncharted ecosystems—coastal shrublands, hyper-arid deserts—guiding conservation efforts worldwide.

In my new book "Now What? How to Ride the Tsunami of Change", I explore how AI doesn't just process data, it creates new realities. AlphaEarth exemplifies this shift: from observing Earth to continuously modeling it.

When AI can see our planet better than we can, who decides what gets mapped, monitored, controlled? 👉 10x10 meter precision globally 👉 Sees through clouds, darkness, weather 👉 50+ organizations already deploying

When AI knows every square meter of Earth in real-time, is privacy just a memory?

Read the full article on DeepMind.

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💡 We're entering a world where intelligence is synthetic, reality is augmented, and the rules are being rewritten in front of our eyes.

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