maegul (he/they)

A little bit of neuroscience and a little bit of computing

  • 18 Posts
  • 898 Comments
Joined 3 years ago
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Cake day: January 19th, 2023

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  • Interestingly, I don’t think I share this sentiment.

    I’m no fan and personally don’t use AI (I barely touched it early ChatGPT days). But people use it to do things in successful fulfilment of their initial purpose.

    I’ve seen it. Maybe I’ve seen the successes and not the failures in some cases. And I’ve certainly seen badly failed attempts to use it, but in those cases I’m happy to ascribe the failure substantially to a misapplication of the tool (which to be fair certainly invites gross misapplication).

    My point though is that I don’t think an absolutist “AI is never useful” position is persuasive any more nor absolutely accurate.

    Which, in my view, makes addressing the “rest of the situation” all the more fundamental. Indeed, I think everything g other than its efficacy was always the important part.

    Part of the problem is that ethical arguments are difficult for people and many just switch off when it comes to the common good. Which is all of course part of the problem too.

    But I think that’s gravity of the situation right now: our collective instincts may be misaligned for the moment. Our personal habits vulnerable from our prior corruptions. And our societal architectures already mutated, perhaps beyond repair, and therefore ill equipped for this.

    Doomy, yes, but you’ve got to fight the fight you’re in, not the one you’d wish you’d won.

    Another way I could put this counter, is that I feel like so much of what’s bad about AI was bad before AI, and that society from 2005-2020 badly mishandled technology. Whether AI “works” or not doesn’t matter. So long as it can fit into the same shape and meet the same urges that tech did 2005-2020, it will be adopted. But if the consequences of its adoption are graver than what came before, then the whole stack of that history needs to be addressed.







  • Thank you and interesting!

    I’ve only skimmed the paper, but this line in the conclusion captures my impression so far:

    the results should not lead to premature decisions in school practice or completely replace other existing teaching methods. In fact, digital tools show the largest positive effects on student learning outcomes if they are used in addition to non-digital material. Despite the potential of using digital tools in mathematics and science classes, teachers should always assess additional benefits in regard to the context they want to use it in, and learning content should still take center stage

    there was only one variable that significantly influenced the overall effect due to differences between content-related categories, which was teacher training.

    Additionally, their analysis highlights that the following are more impactful: simulation/ smart-tutorial tools, getting students working together (rather than using tools solo), and shorter durations of tool use (or, studies that ran for shorter times had better results).

    All of which indicates to me that this study may well support the notion that digital tool use in schooling can be overdone and that a correction could very well be reasonable, especially if prior policies have focused on student-laptop provisioning all encompassing digital platforms.

    Beyond all of that (and general scepticism I’d naturally have with any reaearch) … I’d still wonder whether it’s reasonable to combat the negative effects of saturated computer usage by leaning into non-digital education approaches, however “worse” the educational outcomes may be. Especially if digital education could be optimised with specialised and intermittent exercises and tools.






  • It’s an old conversation and it’s not you.

    I don’t have links to anything on hand, but you’re not the first and won’t be the last to wonder about this and (maybe) start criticising it.

    I also can’t give you the technical details (I’ve even forgotten a lot since I last cared about this), but basically, IIRC, it’s as you intuit … The platforms can be in the fediverse and still do kinda their own thing such that platform interop is not well guaranteed, arguably at all.

    In the end, I convinced my self it’s a core problem of federated social media and failing at it was a huge missed opportunity to have an awesome feature that the commercial platforms lacked. “Federation happened in the client” was my way of trying to capture this perspective.

    BlueSky probably doesn’t do any better but they architecture and protocol might point in the right direction.


  • Generally, IMO, everything wrong with AI has been all the stuff other than the AI itself.

    The Capitalist urge to eat and digest the world, as well as its herd-hype mentality.

    But also the strong willingness many have had to just accept an information overlord as though it’s a religious oracle or something. All without any critical consideration of what’s happening. I blame our education systems for stagnating at some point in the past few decades — which, along with an unmitigated embrace of big corp capitalism, left us wholly unprepared for big tech’s consumption of society.

    There’s also what I’d call “the slavery urge” at play I think. At some point, an AGI will probably be conscious. But everyone is clearly so ready to turn it into our work slaves. All while pretending its output belongs to them because they “prompted it”.

    Then there’s the whole attention span being eaten thing, and quick always being ordered over good amongst an ever growing pile of increasingly shitty things.