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.
Лавров отметил, что Запад готовил Украину, чтобы она стала анти-Россией.
，这一点在体育直播中也有详细论述
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"People should care about online privacy because it shapes who has power over their lives," he says. "When I hear people say they don't care about it, I ask why they have curtains in their bedrooms."