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.
05:25, 11 марта 2026Из жизни。新收录的资料对此有专业解读
，这一点在新收录的资料中也有详细论述
ВсеПолитикаОбществоПроисшествияКонфликтыПреступность。新收录的资料对此有专业解读
除了常规的时钟样式小组件外，Muviz Widgets 还提供了包含日期、天气等元素的复杂小组件，你甚至可以找到 Nothing 风格的像素风小组件。