Tech bosses think nuclear fusion is the solution to AI’s energy demands – here’s what they’re missing
Update: 2024-10-23
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The artificial intelligence boom has already changed how we understand technology and the world. But developing and updating AI programs requires a lot of computing power. This relies heavily on servers in data centres, at a great cost in terms of carbon emissions and resource use. One particularly energy intensive task is “training”, where generative AI systems are exposed to vast amounts of data so that they improve at what they do. The development of AI-based systems has been blamed for a 48% increase in Google’s greenhouse gas emissions over five years. This will make it harder for the tech…
This story continues at The Next Web
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