Yeah all those assembler optimisations I learned have proven so useful over the years!

On a serious note though, if you like (and have the ability to understand) complexity then AI will just move the needle towards other things to learn, IMO.

The AI tech itself is interesting, like back in the day people would get curious about how video games worked under the hood, while others "became stupid" because they only played them.

I feel it's as long as human history, Don't read it will make you lazy and stupid!

Smart people won't lose their "iq" (or whatever) for reading, playing videogames or using AI, couch potatoes won't get out of the couch if they stop reading, stop playing videogames or stop using AI...

The algorithmic dark pattern though (tiktok, FB, ...), that's serious bad stuff wrecking havoc with your dopamine, fuck that.

Rant off 😅

Could you please explain in further detail why offloading cognitive labor is equivalent to reducing physical labor? Cognitive and physical labor are two different things: you need to struggle through a challenging problem to build structural thinking capacity for higher-order thinking; skipping fraction math isn't just saving physical energy but skips building the schemas needed for calculus, linear algebra, and so on. Using a drill over a screwdriver just saves your arm muscles, and it doesn't condition you to expect wood to screw itself together without your input.

You need to understand when to use a drill and when to use a screwdriver, to be most effective.

That is not the issue here. It really is not.

THANK you!

No. Using a search engine justs presents a list of possible locations for an answer. There us still the need to check and access if one or the other is a possible solution and choose which is the better one. There is an involved process. The LLMs spit out a prescribed solution, with an enforced by marketing and ignorance presupposition it is correct.

They do not for the same reason libraries don't make people stupider.

They did not. Anything that requires serious research still requires work. Anything simple or trivial became easy to check rather than relying on what the most confident person around you said.