In their latest environmental reports, both Microsoft and Google revealed significant spikes in water consumption due to the use of artificial intelligence (AI) technology.
that ChatGPT-3's training alone guzzled up a whopping 85,000 gallons of water. The research further estimated that ChatGPT, which followed GPT-3, would be required to consume the equivalent of a 500-milliliter water bottle to execute a discussion with a user of around 25 to 50 questions.
In addition, AI computations can be energy-intensive. In some places, producing the electricity required for these operations can lead to a lot of water use, especially when using power generation technologies like thermoelectric plants, which rely heavily on water for cooling.reached out to Microsoft, who responded with a statement saying the firm was “working on ways to make large systems more efficient, in both training and application.
Meanwhile, Open AI told the news outlet that the firm “recognize[s] training large models can be energy and water-intensive” and is actively working to improve efficiencies.One solution being explored is to lower the energy requirements of AI computations. These efforts can make AI more energy-efficient by building better algorithms and hardware, which can indirectly reduce water use.
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