I was one of the people who went to college to learn things, but the more I learn, the more I’m saddened by all the people I went to school with who studied things they didn’t enjoy, didn’t particularly care to get better at, all because they saw it as a way to make money. In optimizing for money, they miss out on learning and fulfillment.
This wasn’t that long ago, but I can only imagine how much heavy GenAI use could intensify that effect
I was one of those people too and the academic environment was honestly depressing. Almost none of the professors actually cared about the topics they taught, only about the ones that were their research subjects, on the topics they taught many were stuck at the state the introductory topics were at when they first graduated themselves (in IT where everything changes much more quickly than that). Many university wide decisions were nonsensical (e.g. teach memory management in OS classes in Java because Java was the language they standardized on for everything due to industry pressure). For Bachelor topics they only wanted to accept topics where you could tell you would basically spend months to write something that would end up in the round filing cabinet once it had served its grading purpose. Questions in larger classes were highly discouraged, even pointing out mistakes in the lecture materials (obvious indisputable ones that shouldn’t hurt anyone’s ego like some typo in the order of digits) got responses that discouraged doing that again.
I was one of the people who went to college to learn things, but the more I learn, the more I’m saddened by all the people I went to school with who studied things they didn’t enjoy, didn’t particularly care to get better at, all because they saw it as a way to make money. In optimizing for money, they miss out on learning and fulfillment.
This wasn’t that long ago, but I can only imagine how much heavy GenAI use could intensify that effect
I was one of those people too and the academic environment was honestly depressing. Almost none of the professors actually cared about the topics they taught, only about the ones that were their research subjects, on the topics they taught many were stuck at the state the introductory topics were at when they first graduated themselves (in IT where everything changes much more quickly than that). Many university wide decisions were nonsensical (e.g. teach memory management in OS classes in Java because Java was the language they standardized on for everything due to industry pressure). For Bachelor topics they only wanted to accept topics where you could tell you would basically spend months to write something that would end up in the round filing cabinet once it had served its grading purpose. Questions in larger classes were highly discouraged, even pointing out mistakes in the lecture materials (obvious indisputable ones that shouldn’t hurt anyone’s ego like some typo in the order of digits) got responses that discouraged doing that again.