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Phys.org — Technology · November 6, 2026 · On the brief until November 20, 2026

Generative AI uses more energy on non-English text

LinguisticsEnvironmental ScienceComputer Science
THE AI ANGLE
Burning more energy to process non-English languages

Researchers found that large language models use up to 180 times more energy to process non-English text than English. Complex writing systems require more tokens, which strains hardware memory and lowers answer accuracy. Computer scientists and linguists now face the challenge of redesigning tokenizers and models to cut these computational burdens.

Summary written by AI Business Lens with an AI model from the article at techxplore.com. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
Standard tokenization penalizes non-Latin writing systems with higher power consumption and lower response accuracy.

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