Our cognition didn't evolve to produce arguments for online discussions, but for making crude tools and hunting. As we stopped applying our intelligence towards these uses as a result of our tools, we simply shifted it to new problems that were unthinkable previously.
A caveman probably wouldn't care too much about algebra, a topic most children learn today.
We should stop thinking about the problems AI trivialized and, under the assumption that AI won't fully replace human capability (a key assumption), start thinking about the problems that were previously out of reach. Education would then start focusing on that.
Taking clothing for example, there's more available now than ever. It's disposable at great cost to the environment and the workers that produce it, but very little to you.
Yet, I bet you cannot evaluate garments, construction, or fabric quality. You may not know how to wash woolens and linens. You may have only worn smelly plastic workout clothing and plastic suits for formal events.
You may never have worn a piece of clothing that actually fit your body.
You may not realize that you can alter any clothing, that most clothing was intended to be altered once upon a time. Or that older garments were both more expensive and higher quality, because the expectation was the most important items would need to last for a decade.
The Luddite's central objections about automation was about declining working conditions (objecting to child labour, for instance), bad pay, and declining quality. They used the 'obnoxious' machines they broke. They saw what was being lost and demanded better (without demanding no machines at all).
Later, the rise of unionization brought about many of the changes they'd asked for decades before.
I hope this current technologic movement doesn't end where fast fashion has, with influencers buying a new outfit [repo] every day for a year. A vortex of undifferentiated slop for its own sake.
I can also recommend the book "Blood in the Machine" by Brian Merchant [0][1] which is precisely about this.
[0] https://www.hachettebookgroup.com/titles/brian-merchant/bloo...
At the same time I can't help but wonder that this is almost too much for us to cope, the LLMs are _too_ easy to use. I think we're very good at pretending there isn't a problem here but there is definitely going to be some cognitive decline happening.
We want to pretend like reading over the output of an LLM is nearly the same as us making those changes ourselves but I think there's a lot of value in those boring and manual steps. And most people (including me) will be too lazy to not eventually offload most things to the LLMs.
In a way this is similar to how watching a lecture tends to give one an "impression" of understanding that doesn't correlate with reality. We need hands-on work and some course work to get our monkey brains engaged.
I can only imagine what effects this is going to have in education.