Commercial considerations will shape AI search evolution as platforms figure out monetization beyond subscriptions. We're already seeing early experiments with citations including affiliate tracking, sponsored placements in AI responses, and premium content partnerships. The specific implementations will evolve, but the trajectory toward commercial integration seems certain.
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Stream implementations can and do ignore backpressure; and some spec-defined features explicitly break backpressure. tee(), for instance, creates two branches from a single stream. If one branch reads faster than the other, data accumulates in an internal buffer with no limit. A fast consumer can cause unbounded memory growth while the slow consumer catches up, and there's no way to configure this or opt out beyond canceling the slower branch.
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