Melanie I Stefan
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melanieistefan.bsky.social
Melanie I Stefan
@melanieistefan.bsky.social
350 followers 650 following 700 posts
Computational Neurobiologist at Medical School Berlin. Poster child of failure. She/her
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Ist jemand ein Rassist, nur weil er rassistisch denkt, rassistisch spricht und rassistisch handelt? Wir bleiben dran!
Reposted by Melanie I Stefan
The amount of AI generated art in slides at this conference, primarily used by older scientists, is killing me. Scientists please. Don’t use these ai platforms to make your figures or slides. They look bad and I have yet to see them meaningfully improve the message of talks.
Fine, but arguably if writing things that nobody ever reads is part of our job description, we should question why they need to be written in the first place. The production of writing is not an end in itself. If it doesn’t serve either the writer or the reader, why do it at all?
[PS] What is a good PhD? I think it’s one that only that particular person could have done, one that uses their unique and weird combination of skills and interests and passions. What makes a student great is exactly the ways in which they are different from a chatbot. And I wish they knew that.
One thing I have learned in my (very short) stint as a learner of Dutch is that the Dutch are quite tolerant with respect to the “r” sound. (Though maybe my teacher was just saying that to be nice)
It makes me sad to think that there are people who think they have nothing to offer in that department, that their humanness can so easily be replaced. [Fin]
It also made me sad that they are essentially allowing themselves to be replaced by an Averages Machine. When what makes people interesting are the ways in which we are different from the average, not necessarily better, just unique. Our quirks. Our weird nerdy interests. Our individual stories [17]
I was listening to a podcast a while ago about people who used chatbots to do their messaging on online dating apps. Aside from the question of why you’s want to be dating if you think “having a conversation with another human person” is a tedious task better to be outsourced to machines. [16]
(Also, don’t @ me, I know that means and medians are not the same, and that it is technically possible most people are in fact better-than-average drivers, in much the same way that most of us have more-than-average fingers.) [15]
GenAI being a statistical model will essentially give you an average. Averagely good writing. It’s interesting that so many people think it’s an improvement over what they can do. (Maybe the opposite of the often-quoted statistic that most people think they are better than average drivers) [14]
I wonder if students are being robbed of feelings of self-efficacy and competence. Definitely they are being robbed of the experience of struggling through an assignment like an essay and learning they can do it. Or struggling with a concept and finally wrapping their head around it. [12?]
And also that he felt like if he couldn’t use AI, his hands were tied in terms of quality. As if there wasn’t an arsenal of tried-and-tested non-AI methods to improve one’s writing. As if things like „have a friend read it“ or „read it back to yourself out loud“ were somehow unavailable to him. [12]
And you know what, it was fine. Could have done with some polishing here and there. Could have done with a human proof-read. But absolutely within the quality range that I would expect from student work. And it’s kind of sad that he thought it was worth apologising for. [11]
One student, apparently knowing that I am a sceptic, sent me an assignment with the caveat that the language would be quite bad. Because usually he uses AI to improve it, but in this case he did NOT (his capitals), so sorry in advance. [10]
It breaks my heart also that some students seem to think that, and seem to think that it’s not even a set of skills they can (and should) learn. They have big, beautiful, amazing brains and they don’t know what to do with them. [9]
Academics who have spent a literal decade training to read and understand texts and critically evaluate them think that PocketChad can do it better than them. This breaks my heart. [8]
But also every time you let ChatGPT write your introduction or do your lit search or write your ethics proposal (yes, yes, I have seen it all), you are saying you think it can do better than you. [7]
After all, you can ask stupid questions to a chatbot. A chatbot doesn’t judge. (Turns out that particular Postdoc also doesn’t judge, except she judges you for using a chatbot. And rightly so.) [6]
But it’s more than a lack of confidence in other people’s abilities. It’s also a lack of confidence in their own. Maybe my colleague felt a bit queasy about having a young early-career scientist explain thing that were outside his expertise. [5]
I also noticed it when my postdoc hung one of her posters next to her office door, and a colleague, rather than talking to her about it, had ChatGPT explain it to him. Like dude, the actual expert is sitting right there, and she is thoughtful and creative and amazing. But you choose PocketChad. [4]
Like, no discussion, no back and forth, no trying to make sense of what had come so far in the discussion. (Mind you, a discussion between experts in their field. Who might be wrong sometimes, sure, but who have a far deeper understanding than cyber-Chad over there.) [3]
I first noticed it as a lack of confidence in other people’s expertise. Like, we would have a discussion on some science (our science) question, and some colleagues would make excellent and carefully considered arguments. And then someone would butt in and just paste what ChatGPT said. [2]
A little thread on how the crisis around GenAI in academia is also a crisis of confidence, and it makes me quite sad. [1/n]
Reposted by Melanie I Stefan
Chatbots — LLMs — do not know facts and are not designed to be able to accurately answer factual questions. They are designed to find and mimic patterns of words, probabilistically. When they’re “right” it’s because correct things are often written down, so those patterns are frequent. That’s all.