对于 AI 创作来说，无论是文本还是多媒体，大多数时候用大模型，最痛苦的就是「AI 味太重」或者「废话连篇」。究其原因，往往是「提示词不当」、「模型不够强」，总结在普通的聊天形式缺乏深度的垂直领域优化。
Transforms don't execute until the consumer pulls. There's no eager evaluation, no hidden buffering. Data flows on-demand from source, through transforms, to the consumer. If you stop iterating, processing stops.
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This means there is a golden moment: the exact instant between “HotAudio’s player finishes decrypting a chunk” and “that chunk is handed to the browser’s media engine.” If you can intercept appendBuffer at that instant, you receive every chunk in its pristine, fully decrypted state, on a silver fucking platter.
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