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But in the end, “the world should be” never equals “the world is.” While LLMs bring innovation and productivity gains, their misuse and abuse are relentlessly disrupting every industry. And since LLMs are especially good at exploiting human perception post-alignment, who knows—maybe the model isn’t understanding the world at all, but just memorizing answers to “Which is bigger, 3.9 or 3.11?” or “Should I drive or walk 50m to the car wash?” Everyone’s stuck in endless debates about what LLMs are, how they’ll impact industries, and where humanity is headed—without any conclusion.

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绝大多数企业对这类人才的定位,仅仅是一个“高级翻译官”——指望他们把业务的白话诉求,原封不动地翻译成 IT 能听懂的代码逻辑。在 IPC 的世界里,这种指望靠“翻译”来弥合鸿沟的想法,是极其荒谬的。因为面对 N² 复杂度的全局博弈,根本不存在可以被直接平移的“双语”。