Different but related: "This is not surprising, I already know it from my vibe-based evaluation."
Of course research outputs should include functioning code and data for reproducibility whenever possible, or even easily reusable software where it’s feasible. But it doesn’t make sense to generally expect from academia to build software that engineers can just plug directly into their systems.
Do you sometimes have to explain to engineers that the main role of science is not to produce software? Once in a while I see people comment on some paper along the lines of “but it’s not efficient” or “I can’t use this in production” as if this was what research is about.
In a new blog post, I argue that the anti-ai movement ought to distinguish between claims about the technology and the "project of AI," as defined by Vetsi et al. in their new paper.
🔗: doomscrollingbabel.manoel.xyz/p/the-anti-a...
Ivan Kartáč
Ivan Kartáč
Ivan Kartáč
this is how massive illusion of 'creativity' gets crushed... please read it to understand why models may appear to produce coherent text but are in fact Frankenstein factory ...
Manoel Horta Ribeiro
Maybe one of the biggest obstacles for progress in science comes from entrenched stereotypes? In linguistics, we have, for example, (1) the word stereotype, (2) the grammar/dictionary stereotype, (3) the building-block stereotype, and (4) the speaker directionality stereotype dlc.hypotheses.org/4343
We've updated the preprint of our Naturalistic Computational Cognitive Science paper (arxiv.org/abs/2502.20349) — we've tried to clarify and streamline the arguments, and added some new examples: 1/5
arxiv.org
How can cognitive science build generalizable theories that span the full scope of natural situations and behaviors? We argue that progress in Artificial Intelligence (AI) offers timely opportunities ...
Thinking about language structures is made difficult not only by their incredible complexity, but also by entrenched ways of thinking about grammatical and lexical patterns. Linguists do not investiga...
dlc.hypotheses.org
“Dimicillin” isn’t real. We made it up. Yet many LLMs still call it an antibiotic.
Across 9 models and 653 drugs, we find that drug-name affixes alone can drive pharmacological reasoning. Models often rely on morphology over facts.
We trace this shortcut from behavior to mechanism. 🧵
New blog: I am worried by NLP research culture
NLG and NLP are mostly much better in 2026 than when I got my PhD in 1990. Unfortunately research culture has gotten *worse” in this period, which really worries me as I retire.
ehudreiter.com/2026/06/08/n...
Marzena Karpinska
In most ways NLG and NLP are much better in 2026 than when I got my PhD in 1990. Unfortunately research culture has gotten *worse” in this period, which really worries me as I retire. We have…
Ran some 🧪 to 🔬 why the Granta short story was certainly 🤖 generated.
A lot of bad writing happens because AI hasn’t learned aesthetics. It has simply memorized the whole internet and called it a day.
So sure, maybe you don't trust AI detectors. But you can trust your own eyes. #AISlop
