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The quest for scale remains a preoccupation at almost every level of the A.I. pipeline: There’s the mind-boggling amount of training data required; the alarming quantity of water and electricity needed to run data centers; and the millions of G.P.U. chips that provide the necessary computing power. Then there are the extraordinary public market valuations for many of the largest A.I. players, which have buoyed the stock market for the past two years.