Модный показ с Мэрилином Мэнсоном развеселил русскоязычных зрителей20:50
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，这一点在搜狗输入法中也有详细论述
不同的结构，也让麦当劳和肯德基逐步走向了不同的扩张道路。
This also applies to LLM-generated evaluation. Ask the same LLM to review the code it generated and it will tell you the architecture is sound, the module boundaries clean and the error handling is thorough. It will sometimes even praise the test coverage. It will not notice that every query does a full table scan if not asked for. The same RLHF reward that makes the model generate what you want to hear makes it evaluate what you want to hear. You should not rely on the tool alone to audit itself. It has the same bias as a reviewer as it has as an author.