The problem compounds in pipelines. Each TransformStream adds another layer of promise machinery between source and sink. The spec doesn't define synchronous fast paths, so even when data is available immediately, the promise machinery still runs.
Author(s): Michael Pilipchuk, Chaitali Patil, Veera Sundararaghavan
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The Penn-Wharton model found in a preliminary analysis that AI could reduce deficits by $400 billion by 2035. But the Congressional Budget Office framed AI and associated investment as wild cards in determining the U.S. fiscal and economic outlook. While the CBO projects AI will enhance total productivity by 1% in the next decade, its most recent budget report conceded that this prediction was “highly uncertain.” If adoption is slow or costs higher than anticipated, it would significantly alter GDP growth and, consequently, government revenue.