No surprise really, those that don’t offload their thinking understand more and thus can do better at the set tasks and exams etc.

  • nonentity@sh.itjust.works
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    1 month ago

    Maybe changing education institutions from being knowledge acquisition environments into employment indoctrination factories was a poor decision.

    A healthy, broadly educated population, which feels safe and secure, is incompatible with, and toxic to, conservative and authoritarian ideologies.

    They need you to be sick, stupid, and scared.

    • Of the Air (cele/celes)@lemmy.blahaj.zoneOPM
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      1 month ago

      Oh we agree that educational institutions are not great and that is part of the problem and why many students use the regurgitation code.

      However, on the other hand it is a worrying trend so many would rather offload their thinking to the regurgitation code that merely regurgitates the statistical average in answers and regurgitates incorrect, or entirely smashed together data.

  • Farid@startrek.website
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    1 month ago

    I’m doing a CompSci bachelor program right now, and I’m almost certain there aren’t any students who don’t use AI. The difference is rather between students who use AI responsibly, for learning and own benefit, and students who cheat every assignment and could barely write a line of code by themselves after 2 years of study. I estimate that between 1/2 and 2/3 are the latter kind.

    • Of the Air (cele/celes)@lemmy.blahaj.zoneOPM
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      1 month ago

      who use AI responsibly.

      So training the LLMs only on their own data and only running them locally?

      That’s the only way to run them responsibly, all the rest is using other’s words, art etc without their consent and using too many resources.

    • Of the Air (cele/celes)@lemmy.blahaj.zoneOPM
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      1 month ago

      Well, depends what you mean. Neural nets and actually other useful ‘AI’ they probably do. LLMs are not really all that useful and so shouldn’t really be applied anywhere.