Got something that has more than 18 participants split into 3 groups for a total sample size of 6 people per control group? Not to mention its focus on AI assisted essay writing, measuring cognitive debt (not decline), using EEG to infer performance of higher cognitive function, etc.
These research papers talking about AI leading to cognitive decline seem so asinine when certain people’s productivity has just skyrocketed under AI.
Sure the hand coding capabilities decline, but that’s replaced by thinking around the actually product or architecture.
A huge sect of new Linux users and Selfhosters are talking about how much AI has enabled them yet we’re still bringing up papers on cognitive decline that were written on models from 3-4 years ago when Claude Code didn’t even exist.
Those papers, and the most recent ones, all point to use of LLM’s as causing cognitive decline due to offloading problem solving.
Saying “they don’t even take into account this way more capable model that makes me able to solve problems way faster” is like saying research into cancer causing materials is bunk because they don’t take into account all the times I inject concentrated carcinogens directly into my testicles.
No one is saying using LLM’s slow you down. They’re saying that being slow was a feature not a bug and skipping it prevents long term learning. Is there a way to use LLM’s that improve learning? Maybe. My worry is that even if there is there is little real inventive to do so.
literally me, i started using ai to help me self host shit. i now know how to use docker and podman essentially even without AI. i’ve been wanting to do that for years but never had anyone to help me and it felt too overwhelming to me. similarly i now have some dotfiles set and in general i have a better system. specially for a lot of shit i know how to do but it’s fucking boring to do.
Except Torvalds is now a bad coder with AI.
AI use demonstrably leads to cognitive decline. Looks like we have a great example in Torvalds, outside of the research papers already released.
source?
One example.
Got something that has more than 18 participants split into 3 groups for a total sample size of 6 people per control group? Not to mention its focus on AI assisted essay writing, measuring cognitive debt (not decline), using EEG to infer performance of higher cognitive function, etc.
These research papers talking about AI leading to cognitive decline seem so asinine when certain people’s productivity has just skyrocketed under AI.
Sure the hand coding capabilities decline, but that’s replaced by thinking around the actually product or architecture.
A huge sect of new Linux users and Selfhosters are talking about how much AI has enabled them yet we’re still bringing up papers on cognitive decline that were written on models from 3-4 years ago when Claude Code didn’t even exist.
Those papers, and the most recent ones, all point to use of LLM’s as causing cognitive decline due to offloading problem solving.
Saying “they don’t even take into account this way more capable model that makes me able to solve problems way faster” is like saying research into cancer causing materials is bunk because they don’t take into account all the times I inject concentrated carcinogens directly into my testicles.
No one is saying using LLM’s slow you down. They’re saying that being slow was a feature not a bug and skipping it prevents long term learning. Is there a way to use LLM’s that improve learning? Maybe. My worry is that even if there is there is little real inventive to do so.
literally me, i started using ai to help me self host shit. i now know how to use docker and podman essentially even without AI. i’ve been wanting to do that for years but never had anyone to help me and it felt too overwhelming to me. similarly i now have some dotfiles set and in general i have a better system. specially for a lot of shit i know how to do but it’s fucking boring to do.
I could care less of what you think is asinine.