this post was submitted on 19 Feb 2026
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Fuck AI

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AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.

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Similarly, in research, the trajectory points toward systems that can increasingly automate the research cycle. In some domains, that already looks like robotic laboratories that run continuously, automate large portions of experimentation and even select new tests based on prior results.

At first glance, this may sound like a welcome boost to productivity. But universities are not information factories; they are systems of practice. They rely on a pipeline of graduate students and early-career academics who learn to teach and research by participating in that same work. If autonomous agents absorb more of the “routine” responsibilities that historically served as on-ramps into academic life, the university may keep producing courses and publications while quietly thinning the opportunity structures that sustain expertise over time.

The same dynamic applies to undergraduates, albeit in a different register.

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[–] UnspecificGravity@piefed.social 35 points 2 days ago (10 children)

Honestly, a lot of these predicted problems with AI are actually overly optimistic because they assume AI can actually DO the work that we are talking about and the current state of AI very much cannot.

I sometimes think that articles like this are plants by the AI industry to create the narrative that their shit is even capable of causing this problem.

[–] Ephera@lemmy.ml 3 points 2 days ago

LLMs do tend to be pretty good at textbook problems, because they've been trained on the textbooks. We have working students at $DAYJOB, who tell us that you can often get a flawless grade by handing in something AI-generated.

But then, yeah, you don't learn anything, and that will become a problem sooner or later, because none of problems at work are textbook problems.

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