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And even if that doesn’t result in a completely clean-slate starting point with everyone equal—even if experience with older LLM workflows is still an advantage in the post-silver-bullet world—I don’t think it can ever be the sort of insurmountable advantage it’s often assumed to be. For one thing, even with vastly higher average productivity, there likely would not be sufficient people with sufficient pre-existing LLM experience to fill the vastly expanded demand for software that would result (this is why a lot of LLM advocates, across many fields, spend so much time talking about the Jevons paradox). For another, any true silver-bullet breakthrough would have to attack and reduce the essential difficulty of building software, rather than the accidental difficulty. Let us return once again to Brooks:

Meta宣布推出全面升级的AI系统Muse Spark,称这是迈向“超级智能”的重要一步。这款“原生多模态推理模型”远超普通聊天机器人,即将入驻智能眼镜及社交信息流。目前该功能已在Meta AI应用上线,计划于未来数周通过智能眼镜固件更新实现部署。

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