更重要的是，本地音视频转录是有一个准确率上限的。而我们现在有了 LLM 的 API，完全可以借助更多的上下文信息，通过 LLM 低成本地提升转录准确率。对于本地音视频转录，我觉得就是有一个基础模型提供一个大差不差的结果，然后调用 AI 进行校对，这样可读性是非常高的。
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There's no reason to think that this is generalizable, rather, it is far more likely that LLMs are merely good at citing things that are frequently and correctly cited. It's citation role-play.