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The Economist reports that top five big tech labs will spend around $800 billion on AI infrastructure this year, with accounting practices masking the immediate cash impact as capital expenditure reaches 40% of revenue, surpassing previous booms.
A tweet notes that when amortizing a $4k Mac over 5 years, running a 31B model costs $1.50 per million tokens, making local inference a luxury compared to cheaper API options.