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These aren't niche tools used by tech enthusiasts. They're mainstream applications that everyday people now use for research, planning, learning, and decision-making. When someone searches for "best productivity apps for small teams," they're increasingly likely to ask an AI rather than Google. When a business owner needs to understand a technical topic, they're prompting Claude instead of reading blog posts. When students research topics for papers, they're querying Perplexity instead of clicking through search results.
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"Boys like either dinosaurs or airplanes," he said. "I was very much an airplane boy."
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The gains illustrate how fundamental design choices compound: batching amortizes async overhead, pull semantics eliminate intermediate buffering, and the freedom for implementations to use synchronous fast paths when data is available immediately all contribute.
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