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"At first glance, reducing model-training expenses in this way might seem to undermine the trillion-dollar 'AI arms race' involving data centers, semiconductors and cloud infrastructure. But as history shows, cheaper technology often fuels greater usage," writes Victor Menaldo, professor of political science at the UW.
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