I'd say "Learn the wrong things much faster". But I'd actually argue that learning isn't a fast process, it's rather a very slow journey, takes time and dedication to master deep knowledge. You won't learn anything that will stay with llms, if they got the output correct
Sorry to be harsh but that just sounds ignorant. LLM can be a great tool to speed up your learning process especially for devs. It can help me get over blocks that used to take me half a day of digging through docs and codes.
I may sound ignorant but if you delegate your knowledge to LLMs you'll stay ignorant. Learning is a never ending journey, you can chat about a problem with a non deterministic stocastic compressor with stale knowledge, no problem but don't call it education. Core domain knowledge still makes people successful not chatting skills. Sure if you have deep domain knowledge you can still benefinit AI filling the tedious details, I'm not anti AI
Having a quick answer is different than internalizing some domain, especially when you may need to argue about it or propose some novel method. The former can work if you know the right question, but that's just as difficult as knowing the answer.
And most things that are useful daily is not pure knowledge. It's adapting the latter to the current circumstances (aka making tradeoffs). Coding is where pure knowledge shines and it's the easiest part. Before that comes designing a solution and fitting it to the current architecture and that's where judgement and domain knowledge are important.
I'd say "Learn the wrong things much faster". But I'd actually argue that learning isn't a fast process, it's rather a very slow journey, takes time and dedication to master deep knowledge. You won't learn anything that will stay with llms, if they got the output correct
Sorry to be harsh but that just sounds ignorant. LLM can be a great tool to speed up your learning process especially for devs. It can help me get over blocks that used to take me half a day of digging through docs and codes.
I may sound ignorant but if you delegate your knowledge to LLMs you'll stay ignorant. Learning is a never ending journey, you can chat about a problem with a non deterministic stocastic compressor with stale knowledge, no problem but don't call it education. Core domain knowledge still makes people successful not chatting skills. Sure if you have deep domain knowledge you can still benefinit AI filling the tedious details, I'm not anti AI
Having a quick answer is different than internalizing some domain, especially when you may need to argue about it or propose some novel method. The former can work if you know the right question, but that's just as difficult as knowing the answer.
And most things that are useful daily is not pure knowledge. It's adapting the latter to the current circumstances (aka making tradeoffs). Coding is where pure knowledge shines and it's the easiest part. Before that comes designing a solution and fitting it to the current architecture and that's where judgement and domain knowledge are important.