As one of the authors of this thought I’d share a bit about how we got here and how you can do what we’ve done at you institution.

Over the two years I’ve been at the University of Edinburgh I’ve grown increasingly concerned by fellow academics uncritically using LLMs, especially OpenAIs’s ChatGPT.

Professors in the Epstein files say they hoped friendship would lead to research funding A new trove of documents released by the Justice Department reveals that Epstein’s reach into academia was wider than previously known.

The Epstein case I'm afraid reveals something many academics don't want to see. Universities can be rapacious money machines, obsessed with money and status for their own sakes, heedless of risk, oftentimes willing to turn a blind eye when they shouldn't.
apnews.com/article/epst...

I've heard over and over again that generative AI will help educators with lesson planning. This is the indisputable proof.

Natural Language Processing What is NLP? A field of AI'iat enables machines understand, interpret, generate, Core Components: Tokenization, Parto-of-speech tagging, Named entity recognition (NER), Dependency parsing, Lemmatization & stemming, Language modeling, Semantic analysis, Sentiment analysis, Appeezies, Shangriant, Ryrimnonic, Attention, Compalig, Real-tio models, EageAI, Cogematic, Edge-de Key Techniques: Machine learning-based NLP, Deep learning-based NLP, Transformer architectures (BERT, GPT, 15), Word embeddings (Word2vec, GloVe), Sequence-to-sequence models, Attention mechanisms, RNNS, LSTMs, GRUs Popular applications: Text cclassification, Chatbots & virtual assistants, MAchine translation, Speech recognition, Text summarization, Document analysis & OCR, Email filtering, Search engines, Question answering sy stems

I'm prepping my spring NLP course, but I've not been following NLP research too closely lately. Luckily this primer popped up on LinkedIn, so I'm asking the hive mind...

POLL: How crucial is it for me to cover Apeezies & Cogematic?
a) Very
b) Less crucial than Shangriant
d) It's too cutting edge

The budget levy on international fees seems to confirm that the UK government is, for reasons that defy economic logic, determined to break the backs of its own world-class universities just as the US government does the same. Now why would a government want to destroy the modern university I wonder

First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models Many NLP researchers are experiencing an existential crisis triggered by the astonishing success of ChatGPT and other systems based on large language models (LLMs). After such a disruptive change to o...

which I know from personal inspection. What it had was the biggest (n-gram) language model anyone had yet built. @nsaphra.bsky.social et al. have a nice paper on this analogy. arxiv.org/abs/2311.05020

From the University of Woeville: Alternative FAQs for British academics facing redundancy
juliecupples.wordpress.com/2025/11/02/f...

A sobering read for anyone working on machine translation.

@nsaphra.bsky.social is awesome and so much fun to work with. Go work with her!

Hurray! BU is very lucky to have you!

To understand the future of AI, take a look at the failings of Google Translate Nearly 20 years after it was launched, machine translation is still a long way from replacing translators.

To understand the future of AI, take a look at the failings of Google Translate
theconversation.com/to-understan...

Ruby Ostrow, Adam Lopez
LLMs Reproduce Stereotypes of Sexual and Gender Minorities
https://arxiv.org/abs/2501.05926

📕 ⬇️ My thesis on 🚫unargmaxable outputs is online! Check it out if you want to learn more about how output layers constrain what neural networks can and cannot predict 👉 era.ed.ac.uk/handle/1842/...