问HN：你是如何保护自己免受技能退化的？
我对在大型语言模型（LLM）时代，科技行业的人们是如何避免技能退化的很感兴趣。
我们都看到了这个争论的两种观点，一方面是“让他们退化，LLM是未来，看看算盘就知道了！”另一方面是“我不使用LLM，它们会出错并且妨碍工作”。但对许多人来说，现实是LLM确实提供了真正的性能提升，并承担了许多任务，即使它们会出错并需要人们的监督。
我倾向于谨慎对待技能的退化，因为在中长期内，LLM将如何影响工作场所以及哪些技能会被使用仍有太多未知。因此，我想知道你们是如何在面对“让它实现”的诱惑时，保持现有技能不退化的？
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I’m interested in how people working in tech are avoiding skill atrophy in this LLM age?<p>We’ve all seen both sides of the argument spectrum, with “Let them atrophy, LLMs are the future, just look at the abacus!” to “I don’t use LLMs, they make mistakes and get in the way”. But the reality for many is that LLMs give a real performance boost and take on many tasks, even if they do make mistakes and need babysitting.<p>I fall on the side of caution in letting skills fall behind, there are too many unknowns in how much LLMs will drive workplaces in the medium to long term and what skills will be used, so I’m wondering how you keep your existing skills from atrophying when tempted with the “make it so” button?