software engineering processes (the name is in french, this is my best attempt at a translation)
but many of my classes this semester had ai slop in them lol, one of them had nonsensical ai generated images in the class notes, in another one the teacher used cursor as his IDE to demonstrate stuff…
my classmates are all in on it too, naturally. for one project, one of my teammates announced that he’d already done most of the work! wow, so cool, and so early too! in hindsight i should’ve seen it coming… basically the whole thing was vibecoded and i only noticed at the end when it was time to do minor adjustments (such as fixing major features that were not working lol)
AI is terrible in university. Because there is minimal effort on the students to produce it, and the hours I waste marking it is wasted. Pointing out the errors produces no value since The students didn’t go through the process in the first place, and the machine isn’t listening.
I see the same thing in my day job. Analysts produce effortless reams of bullshit that technical experts like myself have to wade through and proof read. We are seen as the barrier, but the more AI is used the longer the review takes because there was no quality control on the generation of the material.
Then you had a bad professor and the homework was useless. What class was it?
software engineering processes (the name is in french, this is my best attempt at a translation)
but many of my classes this semester had ai slop in them lol, one of them had nonsensical ai generated images in the class notes, in another one the teacher used cursor as his IDE to demonstrate stuff…
my classmates are all in on it too, naturally. for one project, one of my teammates announced that he’d already done most of the work! wow, so cool, and so early too! in hindsight i should’ve seen it coming… basically the whole thing was vibecoded and i only noticed at the end when it was time to do minor adjustments (such as fixing major features that were not working lol)
AI is terrible in university. Because there is minimal effort on the students to produce it, and the hours I waste marking it is wasted. Pointing out the errors produces no value since The students didn’t go through the process in the first place, and the machine isn’t listening.
I see the same thing in my day job. Analysts produce effortless reams of bullshit that technical experts like myself have to wade through and proof read. We are seen as the barrier, but the more AI is used the longer the review takes because there was no quality control on the generation of the material.