A Blog post by Ai2 on Hugging Face
Dan Shipper 📧 on Twitter / X
this is true and is a big reason why you don’t need to be a highly technical researcher to use LLMs in surprising and novel ways https://t.co/TuxNzXzToU— Dan Shipper 📧 (@danshipper) July 27, 2025
The AI Chemist: To be trustworthy, LLMs need to show their work
Good scientists reveal how they do their experiments and report their results; so should any machine-driven research
Hey ChatGPT, write me a fictional paper: these LLMs are willing to commit academic fraud
Mainstream chatbots presented varying levels of resistance to deliberate requests for fabrication, study finds.
How Do We Talk about LLMs?
By Jim Clifford It is never fun to watch friends argue. Generative AI has created multiple fractures across our universities and the community of historians. The stakes are high and we are all deal…
Hey ChatGPT, write me a fictional paper: these LLMs are willing to commit academic fraud
Mainstream chatbots presented varying levels of resistance to deliberate requests for fabrication, study finds
Augmenting Research Ideation with Data: An Empirical Investigation...
Recent advancements in large language models (LLMs) demonstrate strong potential for generating novel research ideas, yet such ideas often struggle with feasibility and effectiveness. In this...
FairStress: A deeper evaluation of fairness in LLM decision-making
A Blog post by Ai2 on Hugging Face
Ethan Landes, Kathryn B. Francis & Jim A. C. Everett, People defer to AI moral advice, but not blindly - PhilArchive
As AI large language models (LLMs) become increasingly embedded in everyday technologies, should we be concerned about their capacity to influence human beliefs - particularly in the moral domain? Being persuaded ...
Ryan Hill on Twitter / X
I’ve been thinking today about how LLM “proof solvers” compare to other recent ML tools in science like AlphaFold. I’ve seen a lot of very strong reactions today that I might label as a “first contact” attitude, and I don’t think I subscribe to it:— Ryan Hill (@RyanReedHill) October 7, 2026
Is AI Flooding Medical Journals With 'Meaningless' Research?
'It's not fraudulent, and it's not really slop,' one expert says
The Environmental Impacts of AI -- Primer
A Blog post by Sasha Luccioni on Hugging Face
The Annotated Encyclical - a Hugging Face Space by society-ethics
Magnifica Humanitas, annotated with AI-ethics research
Google DeepMind Paper Argues LLMs Will Never Be Conscious
Philosophers said the paper’s argument is sound, but that “all these arguments have been presented years and years ago.”
Why I don’t trust most human-AI interaction experimental research – Jason Collins blog
Behavioural economics, data science and artificial intelligence.
An editorial was published in Nature recently claiming that glam journal publication of LLMs (like DeepSeek-R1 this case) marks a step towards greater transparency, accountability & credibility nature.com/articles/d41586-025-02979-9. I have thoughts ... 1/
https://www.nature.com/articles/d41586-025-02979-9
t.coThere's growing experimental evidence¹˒²˒³˒⁴ that LLMs are unusually good at talking people out of entrenched false beliefs and conspiracy theories. ¹ pubmed.ncbi.nlm.nih.gov/39264999/ ² pubmed.ncbi.nlm.nih.gov/41179846/ ³ sciety.org/articles/activity/10.21203/rs… ⁴ connecticut.adl.org/resources/report/short-dialog…
Der Fisher
Unpopular opinion: LLMs are generally deradicalizing people whose beliefs are based on pure propaganda. I've been watching this happen slowly with some people I care about. ChatGPT is one of the reasons they finally accept that the NRA, OAN, and NewsMax are lying to them.
