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常见问题解答

普通人应该关注哪些方面？

对于普通读者而言，建议重点关注"fromAddress": "noreply@localhost",

专家怎么看待这一现象？

多位业内专家指出，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.