> Why would cognitive overload work better?

I don't know where you get the 'cognitive overload' term from (it's not in the article). But it general; cognitive effort is what drives our brains to learn in the first place.

As an organ in an organism, the brain is very adverse to using energy, because the organism might need it later to run or fight some danger. Learning costs energy, and the brain rather doesn't if it doesn't need to. The only reason that the brain will ever learn anything, is if you repeatedly expose it to 'cognitive effort', because in this case the effort of learning will save energy in the long run.

If you use AI so that most things don't require cognitive effort, your brain will not use those learned neural pathways, and they will atrophy over time.

The only thing that the brain learns from using AI is that the most efficient way of doing anything is having the AI do it for you.

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itmitica 21 hours ago | parent [-]

I'm going to comment on two subjects.

One, if cognitive overloading is not in the article, then it's good, it means I actually put some thought in the responding effort.

Two, AI expands possibilities for those that want that, and offer shortcuts for those that want that. No different from any other learning process: you could actually learn something or you could just do it. It makes sense, not all humans seek learning, but most humans look for results and answers.

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legacynl 20 hours ago | parent [-]

I don't know what your interpretation of 'expanding possibilities' is, but I suspect that those are shortcuts in some way too. If you only use AI to help you search the internet, you'll become less adept at searching yourself. If AI allows you to do something that you aren't able to do yourself, it is allowing you the shortcut to not have to learn that thing.

	▲	itmitica 19 hours ago \| parent [-]
		AI is expanding my thinking possibilities. Mastering a certain form of internet search does not mean you are learning, it means you are mastering, to some degree, a tool to search. Shortcuts are OK here, per me. Learning comes when you actually go beyond tool-use skills. To be more explicit, the time learning a tool is not time used learning, it's time used preparing for learning. AI cuts that, if you want, and you get straight to actually learning something instead of tripping over tools and infrastructure, becoming too overloaded to be able to see the forest from the trees.