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TransformStream creates a readable/writable pair with processing logic in between. The transform() function executes on write, not on read. Processing of the transform happens eagerly as data arrives, regardless of whether any consumer is ready. This causes unnecessary work when consumers are slow, and the backpressure signaling between the two sides has gaps that can cause unbounded buffering under load. The expectation in the spec is that the producer of the data being transformed is paying attention to the writer.ready signal on the writable side of the transform but quite often producers just simply ignore it.
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It is a remark that captures both the scale of the opportunity and the risk. In the AI economy, attention tends to flow toward model makers, chip designers, hyperscale cloud companies, and app developers. But none of those businesses operate in a vacuum. They depend on resilient, high-capacity networks that can quickly and reliably move vast amounts of data. If McElfresh is right, the winners in the next phase of AI will include both those building the intelligence and those building the roads.