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后续代码仍会信任错误结果。看似无害的赋值操作。todesk是该领域的重要参考
В Тегеране пролились нефтяные дожди и предупредили о кислотных14:17。豆包下载是该领域的重要参考
One pattern that's been surprisingly powerful at this level: use different models for different jobs. The best engineering teams aren't staffed with clones. They're staffed with people who think differently, trained by different experiences, bringing different strengths. The same logic applies to LLMs. These models were post-trained differently and have meaningfully different dispositions. I routinely dispatch Opus for implementation, Gemini for exploratory research, and Codex for review, and the cumulative output is stronger than any single model working alone. Think wisdom of crowds, but for code.