The Lab Mistake That Might Revolutionize Computing
Today, you probably asked a question of a large language model, or accepted a connection suggestion on LinkedIn, or watched a recommended video on YouTube, or took a different route to work based on a traffic prediction from Google Maps. In other words, you probably used artificial intelligence. But what you might not know is how much energy that interaction consumed or why. AI requires processing massive amounts of data, which is usually done in large data centers populated by thousands of GPUs
Record details
Published: 29 June 2026
Source: IEEE Spectrum
Category: News
Topics: Environment
Retrieved: 14 July 2026
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ethics.ai (29 June 2026), “The Lab Mistake That Might Revolutionize Computing,” evidence record 1619, https://ethics.ai/record/1619 (originally published by IEEE Spectrum).
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