e-topy

As an undergrad, I hope schools move to educating students to use LLMs in a more responsible way. You can't put the genie back in the bottle, and resisting progress is futile, might as well use the tool we now have to help students learn even faster and better (e.g., making feedback instant and not answers, helping digest or split up material, checking answers).

I know opinions about AI at (not only at) my faculty are very mixed, but I think the answer is going to be in the rational mean, just like how technorealism reacted to the internet[0].

In our last program board sitting, some teachers said that they think programming as a job will be completely irrelevant in two years, while other pushed for more adoption. And meanwhile I know of some students that are basically only passing because of LLMs, and it's bad, like "leaving claude output in markdown files and finished source code on the faculty server in /tmp because opencode did so" bad. And our first year classes completely prohibit even sharing tests or talking about the solutions, which in my opinion a) makes people extremely asocial and atomized b) doesn't prepare students for real life c) promotes dishonesty.

Still, I think our university's thinking is in a stalemate, not wanting pure AI output and useless students, while also wanting to move with the times, and I doubt it's the only one.