Understanding where AI search is headed helps you prepare for upcoming changes rather than constantly reacting to new developments. While predicting specific features or timeline is difficult, several clear trends are shaping the evolution of AI-powered discovery.
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Instead of tee() with its hidden unbounded buffer, you get explicit multi-consumer primitives. Stream.share() is pull-based: consumers pull from a shared source, and you configure the buffer limits and backpressure policy upfront.