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323 points timbilt | 1 comments | | HN request time: 0.214s | source
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wcfrobert ◴[] No.42131165[source]
Lots of interesting debates in this thread. I think it is worth placing writing/coding tasks into two buckets. Are you producing? Or are you learning?

For example, I have zero qualms about relying on AI at work to write progress reports and code up some scripts. I know I can do it myself but why would I? I spent many years in college learning to read and write and code. AI makes me at least 2x more efficient at my job. It seems irrational not to use it. Like a farmer who tills his land by hand rather than relying on a tractor because it builds character or something. But there is something to be said about atrophy. If you don't use it, you lose it. I wonder if my coding skill will deteriorate in the years to come...

On the other hand, if you are a student trying to learn something new, relying on AI requires walking a fine line. You don't want to over-rely on AI because a certain degree of "productive struggle" is essential for learning something deeply. At the same time, if you under-rely on AI, you drastically decrease the rate at which you can learn new things.

In the old days, people were fit because of physical labor. Now people are fit because they go to the gym. I wonder if there will be an analog for intellectual work. Will people be going to "mental" gyms in the future?

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alwayslikethis ◴[] No.42131502[source]
> a certain degree of "productive struggle" is essential

Honestly, I'm not sure this would account for most of the difficulty in learning. In my experience most of the difficulty involved in learning something involved a few missing pieces of insight. It often took longer to understand the few missing pieces than the rest of the topic. If they are accurate enough, LLMs are great for getting yourself unstuck and keep yourself moving. Although it has always been a part of the learning experience, I'm not sure frantically looking through hundreds of explanations for a missing detail is a better use of one's time than to dig deeper in the time you save.

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1. jltsiren ◴[] No.42132690[source]
I once knew someone who studied CS and medicine at the same time. According to them, if you didn't understand something in CS after reasonable effort, you should do something else and try again next semester. But if you didn't understand something in medicine, you just had to work harder. Sometimes it's enough that you have the right insights and cognitive tools. And sometimes you have to be familiar with the big picture, the details, and everything in between.