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this post was submitted on 16 Dec 2024
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As a prof, it's getting a little depressing. I'll have students that really seem to be getting to grips with the material, nailing their assignments, and then when they're brought in for in-person labs... yeah, they can barely declare a function, let alone implement a solution to a fairly novel problem. AI has been hugely useful while programming, I won't deny that! It really does make a lot of the tedious boilerplate a lot less time-intensive to deal with. But holy crap, when the crutch is taken away people don't even know how to crawl.
This semester i took a basic database course, and the prof mentioned that LLMs are useful for basic queries. A few weeks later, we had a no-computer closed book paper quiz, and he was like "You can't use GPT for everything guys!".
Turns out a huge chunk of the class was relying on gpt for everything.
Yeeeep. The biggest adjustment I/my peers have had to make to address the ubiquity of students cheating using LLMs is to make them do stuff, by hand, in class. I'd be lying if I said I didn't get a guilty sort of pleasure from the expressions on certain students when I tell them to put away their laptops before the first thirty-percent-of-your-grade in-class quiz. And honestly, nearly all of them shape up after that first quiz. It's why so many profs are adopting the "you can drop your lowest-scoring quiz" policy.
Yes, it's true that once they get to a career they will be free to use LLMs as much as they want - but much like with TI-86, you can't understand any of the concepts your calculator can't solve if you don't have an understanding of the concepts it can.
When AI achieves sentience, it'll simply have to wait until the last generation of humans that know how to code die off. No need for machine wars.