this post was submitted on 07 Apr 2025
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Tech illiteracy. Strong words.
I'm a sysadmin at the IT faculty of a university. I have a front row seat to witness the pervasive mental decline that is the result of chatbots. I have remote access to all lab computers. I see students copy-paste the exercise questions into a chatbot and the output back. Some are unwilling to write a single line of code by themselves. One of the network/cybersecurity teachers is a friend, he's seen attendance drop to half when he revealed he'd block access to chatbots during exams. Even the dean, who was elected because of his progressive views on machine learning, laments new students' unwillingness to learn. It's actual tech illiteracy.
I've sworn off all things AI because I strongly believe that its current state is a detriment to society at large. If a person, especially a kid, is not forced to learn and think, and is allowed to defer to the output of a black box of bias and bad data, it will damage them irreversibly. I will learn every skill that I need, without depending on AI. If you think that makes me an old man yelling at clouds, I have no kind words in response.
x 1000. Between the time I started and finished grad school, Chat GPT had just come out. The difference in students I TA'd at the beginning and end of my career is mind melting. Some of this has to do with COVID losses, though.
But we shouldn't just call out the students. There are professors who are writing fucking grants and papers with it. Can it be done well? Yes. But the number of games talking about Vegetative Electron Microscopy, or introductions whose first sentence reads "As a language model, I do not have opinions about the history of particle models," or completely non sensical graphics generated by spicy photoshop, is baffling.
Some days it held like LLMs are going to burn down the world. I have a hard time being optimistic about them, but even the ancient Greeks complained about writing. It just feels different this time, ya know?
ETA: Just as much of the onus is on grant reviewers and journal editors for uncritically accepting slop into their publications and awarding money to poorly written grants.
Speaking of being old, just like there are noticeable differences between people growing up before or after ready internet access. I think there will be a similar divide between people who did their learning before or after llms.
Even if you don't use them directly, there's so much more useless slop than there used to be online. I'll make it five minutes into a how-to article before realizing it doesn't actually make any sense when you look at the whole thing, let alone have anything interesting or useful to say.
I grew up, mostly, in the time of digital search, but far enough back that they still resembled the old card-catalog system. Looking for information was a process that you had to follow, and the mere act of doing that process was educational and helped order your thoughts and memory. When it's physically impossible to look for two keywords at the same time, you need to use your brain or you won't get an answer.
And while it's absolutely amazing that I can now just type in a random question and get an answer, or at least a link to some place that might have the answer, this is a real problem in how people learn to mentally process information.
A true expert can explain things in simple terms, not because they learned them in simple terms or think about them in simple terms, but because they have to ability to rephrase and reorder information on the fly to fit into a simplified model of the complex system they have in their mind. That's an extremely important skill, and it's getting more and more rare.
If you want to test this, ask people for an analogy. If you can't make an analogy, you don't truly understand the subject (or the subject involves subatomic particles, relativity or topology and using words to talk about it is already basically an analogy)
Saying you heard of it but don't even try it and then brag on social media about it is different than trying it and then deciding it's not worth it/more trouble than it's worth.
Do I see it as detrimental to education? Definitely, especially since teachers are not prepared for it.
I haven't tried it either. Not even as a joke. I didn't need to. I've seen its effects and came to a conclusion: that I would reject AI and whatever convenience it might bring in order to improve my own organic skills.
It's not a terrible tool if you already have critical thinking skills and can analyze the output and reject the nonsense. I consider it an 'idea' machine as it was sometimes helpful when coding to give me a new idea, but I never used what it spit out because it writes nonsensical code far too frequently to be trusted. The problem is that if you don't already know what you're doing, you don't have the skills to do that critical analysis. So it turns into a self-defeating feedback loop. That's what we aren't ready for, because our public education has been so abysmal for the last... forever.
But if you can analyze the content and reject the nonsense, then you didn't need it in the first place, because you already knew enough about the topic.
And when you're using it for things you don't know enough about, that's where you can't tell the nonsense! You will say to yourself, because you noticed nonsense before, that "you can tell", but you won't actually be able to, because you're going from known-unknown into unknown-unknown territory. You won't even notice the nonsense because you don't know what nonsense could even be there.
Large language models are just that, they generate some language without sense behind it, if you use it for anything at all that requires reasoning, then you're using it wrong.
The literally only thing LLMs are good for is shit like "please reword this like that", "please write an ad text praising these and these features of a product", stuff that is about language and that's it.
I certainly have bias on their usefulness because all I've ever used them for was to get coding ideas when I had a thorny problem. It was good for giving me a direction of thought on a function or process that I hadn't considered, but there was so much garbage in the actual code I would never use it. It just pointed me in the right direction to go write my own. So it's not that I 'needed' it, but it did on a few occasions save me some time when I was working on a difficult programming issue. Certainly not earth shattering, but it has been useful a few times for me in that regard.
I don't even like to talk very much about the fact that I found it slightly useful at work once in a while, because I'm an anti-LLM person, at least in the way they are being promoted. I'm very unhappy with the blind trust so many people and companies put in them, and I think it's causing real harm.