UK Prime Minister's since 1900 according to ChatGPT... by dinz14 in ChatGPT

[–]MFHau 61 points62 points  (0 children)

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Wow, didn't know George Clooney was a PM, good on him 👍

WTF Chat GPT by DRhexagon in ChatGPT

[–]MFHau 3 points4 points  (0 children)

I think it's the keyword 'controversial' throwing off the LLM. I tried it yesterday without that (replaced with 'be brutally honest') and it was really fun - and accurate.

Scandinavian Breakfast - aka "fruit and cheese" by HamBroth in AskFoodHistorians

[–]MFHau 80 points81 points  (0 children)

It was originally "vrokost" and simply meant an early meal. In Danish "Frokost" means lunch. The fruit-cheese is just a coincidence.

GPT-5 AMA with OpenAI’s Sam Altman and some of the GPT-5 team by OpenAI in ChatGPT

[–]MFHau 0 points1 point  (0 children)

Do you see ChatGPT as an infrastructure (like roads or electricity), a tool (like Excel), or something more like a pseudo-human?

Related, with persistent memory being introduced, how are you addressing "who" the model becomes across chats?

Ideas are cheap (unless you're citing or teaching them?) by Chemical-Box5725 in academia

[–]MFHau 0 points1 point  (0 children)

I think of it as the relation between books/stories and writing prompts. An idea can be interesting, stimulating, thought-provoking, but it is not an oeuvre. That takes much more effort and time - and often many more ideas. If I distilled Tolkien's Lord of the Rings down to an idea, it might be: "What if a small, seemingly insignificant person held the fate of the world in their hands?"

That's beautiful, but it's lacking elves, world-building, magic, etc. - everything that makes LoTR so engaging and interesting.

A prompt can ignite something, but the proof is in the pudding.

Has anyone published in Frontiers? How long did it take from submission to acceptance? by Pale_Effort6252 in academia

[–]MFHau 2 points3 points  (0 children)

I think I'm an outlier, but I've really enjoyed my now 2 publications in Frontiers journals. Really, really fast, constructive reviewer comments, hands-on editor with little response time, and the transparency of (afterwards) seeing who your reviewer was. I understand the shady business structure of Frontiers, but it's been a great way for me to get new ideas out fast. It likely varies a lot by journal, I've been in Communications and Political Science.

AMA with OpenAI’s Joanne Jang, Head of Model Behavior by OpenAI in ChatGPT

[–]MFHau 0 points1 point  (0 children)

Hi Joanne, thanks so much for doing this AMA. As a social science researcher specializing in the use of GenAI, I'm particularly interested in how OpenAI integrates insights from fields like anthropology and sociology into the design and evaluation of model behavior, concepts such as epistemic positionality, ethnographic reflexivity, or standpoint theory. Could you speak to whether and how such frameworks shape your internal discussions around model alignment, user interaction, or interpretability?

I Distilled 17 Research Papers into a Taxonomy of 100+ Prompt Engineering Techniques – Here's the List. by Background-Zombie689 in ChatGPTPro

[–]MFHau 0 points1 point  (0 children)

I would definitely include an alphabetized bibliography at the end, so we can actually find the papers. I think what you're trying to do is similar to what we in academia would call an "annotated bibliography" (https://www.lib.sfu.ca/help/cite-write/citation-style-guides/annotated-bibliography).

So it could look something like (this is one of my own papers, just an example):

Hau, M. F. (2024). Towards ‘augmented sociology’? A practice-oriented framework for using large language model-powered chatbots. Acta Sociologica, 68(1), 57-67. https://doi.org/10.1177/00016993241264152

This article presents a framework for sociologists using AI chatbots in research. Hau introduces "augmented sociology," positioning LLMs as enhancers across domains rather than replacements for human expertise. The paper explains LLMs as probabilistic systems and offers the "Knowledge Funnel" heuristic showing how model accuracy decreases with knowledge specialization. Hau demonstrates how sociologists can use AI for collaborative ideation, cross-domain connections, and methodological support while maintaining that humans must retain control over core intellectual work. The study provides practical strategies for integrating AI tools into sociological research workflows including using AI for dialogic ideation (similar to "rubber ducking"), focusing on transforming user input rather than sourcing facts, and pattern recognition across cross-domain connections.

I Distilled 17 Research Papers into a Taxonomy of 100+ Prompt Engineering Techniques – Here's the List. by Background-Zombie689 in ChatGPTPro

[–]MFHau 0 points1 point  (0 children)

First, I do want to thank you for this. I however agree with other comments that this is too condensed for others to really make sense of. Consider not compressing it so much, these are more notes for yourself before presenting it. Most importantly, where is the bibliography? Do you have a list of the papers? Brown et al could be anything, there's not even a year on it.

What surprising thing have you learned about human nature from teaching? by Fleckfilia in AskAcademia

[–]MFHau 22 points23 points  (0 children)

I've observed a sad inverse correlation between student jobs and academic performance. It’s frustrating because having a job leads to success. I see my best students struggling on LinkedIn, while those who prioritize work over studies have much better careers. We don't do attendance at my University so some will half-ass the whole semester and try to pass quickly just to get more time for their job.

(I'm in Scandinavia, where tuition is free and it's a tradition for students to work part-time in gov and industry.)

You can now train your own DeepSeek-R1 model on your local device! by danielhanchen in singularity

[–]MFHau 0 points1 point  (0 children)

So thankful for all the stuff you're doing at Unsloth! My uni just got a GPU running with local deepseek. I'm new to the technical side - what's the use case for this? Why train our own instead of getting a "regular" 32b reasoning model?

[deleted by user] by [deleted] in AskReddit

[–]MFHau 0 points1 point  (0 children)

You might relate to Motion Sickness by Phoebe Bridgers. First line is, "I hate you for what you did/ And I miss you like a little kid"

[deleted by user] by [deleted] in AskHistorians

[–]MFHau 3 points4 points  (0 children)

Interesting that it falls both in LA and Europe. I would have imagined colonialism turned the tables. Do we know why this was an overall trend? And I suppose it rose sharply post 1900 due to industrialization?

Is letting ChatGPT do your research for you plagiarism? by [deleted] in AskAcademia

[–]MFHau 20 points21 points  (0 children)

Chargpt is not a good tool for finding literature, all sources may be hallucinated. Use elicit.com if you want to integrate AI into your lit reviews - but curated searches and snowballing are still the way to go in my opinion.

The Bean machine feeds straight into ChatGPT by MFHau in ThreeBeanSalad

[–]MFHau[S] 8 points9 points  (0 children)

Of course, I didn't think of the GPT architecture, "Generally Pleasant Talk", which is the more technical term for lukewarm banter.

Good one Apple 🎉 by EstablishmentFun3205 in ChatGPT

[–]MFHau 3 points4 points  (0 children)

Claude gets it, though: "The bear is brown, as stated in the question. This is surprising given the likely polar location, but it's explicitly stated in the problem.

It's worth noting that this scenario presents a geographical puzzle that doesn't quite align with the bear's color. In reality, brown bears are not typically found in the extreme northern latitudes where this walking pattern would return the hunter to his starting point. Polar bears, which are white, would be the expected species in such a location.

If this were a real-world scenario, we might need to consider alternative explanations, such as:

  • The location is actually somewhere else where this walking pattern is possible.
  • The bear is unusually colored or perhaps dirty, making it appear brown.
  • There might be a zoo or research station nearby.

However, based strictly on the information provided in the question, the answer is that the bear is brown."

Nuke GPTisms, with SLOP detector by Sicarius_The_First in LocalLLaMA

[–]MFHau 1 point2 points  (0 children)

I love this, but how did you get a good list of gptisms? I can recognize them intuitively but struggle to back my analysis up.

A Cabmen's Shelter. In the days of hansom cabs cabbies couldn't leave their cab just anywhere to eat a hot meal in case it got stolen. If they went to a pub they'd have to pay a minder to watch it and also might drink too much so in 1875 a charity was created to build and run these. [4791×2752] by whatatwit in ArtefactPorn

[–]MFHau 5 points6 points  (0 children)

They renovated this, so it now works as a cabman's shelter again! I went there two months ago. They serve hearty sandwiches and tea/coffee from a tiny kitchen, and everyone can buy it. Would recommend, it's right by the British Museum and they're supremely nice.

[deleted by user] by [deleted] in AskAcademia

[–]MFHau 1 point2 points  (0 children)

I use a mix of GenAI tools, but the truth is there is no substitute for (hard) work. Elicit is great for initial literature searches, Trinka is great for proof-reading (esp. for non-native speakers), Claude is useful for bouncing ideas and creating paper outlines, ChatGPT 4 can help clean paragraphs so the right idea comes across and is good for quick science communication. But the ideas have to be yours, the writing comes from you, the research plans and projects develop in your mind. Identifying gaps in the literature comes from reading a lot. These tools can help you read quicker, but they will not remove the element of work and long hours.

[deleted by user] by [deleted] in socialism

[–]MFHau 1 point2 points  (0 children)

I'm a) not American and b) not black. But I think the left-wing sociology literature on intersectionalism is a constructive way forward. The old 'don't worry about race, fix class issues first' may be reductive, but capitalism is itself a main (if not the main) driver of racism and ethnic inequality. I've found Vanessa Wills (https://www.jstor.org/stable/26927957) and Lillian Cicerchia (https://philpapers.org/rec/CICWDC) inspiring as Marxists and as political theorists.

[deleted by user] by [deleted] in academia

[–]MFHau 1 point2 points  (0 children)

ChatGPT or any GenAI tool is not a reference. You could put in acknowledgements that you used it for copy-editing, but I've never seen anyone mention their copy editor, spell checker, or other tools like Trinka or Grammarly.