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Project AeroShift: Eliminating AI’s Water Crisis via Seasonal Compute Migration The Core Thesis The artificial intelligence boom has run directly into a thermodynamic and ecological brick wall: water and infrastruct…

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Project AeroShift: Eliminating AI’s Water Crisis via Seasonal Compute Migration The Core Thesis The artificial intelligence boom has run directly into a thermodynamic and ecological brick wall: water and infrastructure scarcity. Training and running large language models requires massive data centers that dissipate megawatts of heat. Currently, the dominant solution is evaporative cooling, which causes a single hyper-scale facility to consume up to 19 million liters of fresh water daily.

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    Oct 8, 2026 · 1 observations

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