It's not empowering to hand off the details
摘要
文章指出,AI 热情常源于想不处理细节就能实现想法,但任何新颖或优质成果都需要深入、细致地处理细节。能外包部分细节,但判断哪些细节可外包的前提是自身具备专业能力,而专业能力来自对细节的专注兴趣。把细节全交给 AI 并不赋能,成功外包反而意味着自己未参与其中。
荐读理由
它直指 AI 热潮背后的‘不用管细节就能成事’幻想,指出擅长任何事都必须自己沉浸细节、判断哪些能甩、哪些不能,这能帮你调整对 AI 工程项目的预期,不被‘全外包’的说法带偏
原文
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It's not empowering to hand off the details
I think behind a lot of the enthusiasm around AI is a dream of being able to manifest things into reality without having to get into the details.
But you cannot escape the details. There's no level of abstraction that solves this. The closer you look at anything, the messier and more nuanced it gets. You've got to get deep, you've got to get meticulous, to do anything novel or good.
You can't hand off all of the details. What you can do is hand off some of them, but to be good at something is to know, or be able to work out, which 'some'. If you aren't good, you won't know. So inherently you can't do something well with AI without being good at the thing yourself, and to become good at the thing in the first place requires a complete reversal of the mindset that would lead one to having wanted to hand it off. Being incredibly interested in and focused on the details is the only way expertise develops.
Many are captured with the idea of how reality might be if one could be good at things without caring about the details, and are enthusiastic about LLM technology because it seems like a more credible way to get there than all the previous technologies that promised to bring this reality about. But LLMs, too, will fail in this because reality doesn't work that way, and there's no reason it should.
It's not a good thing to not have the knowledge or skill to do something, and it's not empowering to hand off the details. The extent to which that can be successful is the extent to which you have played no role; have done nothing at all. Which is the precise opposite of empowerment.
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