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.
换言之，模型能力是水，但缺乏将水引向农田的高效管道流量与场景的入口。在上半场，引流权始终掌握在手机操作系统与超级App手中，而在下半场，硬件，被重估控制水源的终极闸门。
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至此，AI硬件市场的分野已然清晰，一端是追求现金流与市场份额的“功能快消品”，在红海中比拼供应链效率与成本控制；另一端是赌注未来与生态壁垒的“战略入口”，在蓝海中争夺用户心智与数据主权。
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