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.
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.
Learning has just shifted, you no longer have to think of syntax and lower level things, but more the architecture of the code.
Many devs stop writing code and just become architects later in their career, their brains don’t just wrot then because they “stop thinking”
I actually code way way more now than before AI, because it takes care of the shit I hate doing, and I can focus on the fun stuff