Search Here ….

Tags

affect AI AI slop AI STORIES alumni Blogging book chatbot ChatGPT conferences cultural bias data analysis electronic literature ELMCIP emoji epistemology exhibition fascism floating motifs Gephi gestures history lip-syncing LLMs machine vision methodology network analysis neural networks norsk open access publication publications R research science fiction self-representation selfies social media Surveillance talks teaching trip report twitter UiB visualisation
Uncategorised

nettverkslunsj

Jill1 Comment

We’re having a networking lunch for people working, teaching and researching with or on networked art, literature, media, communication and culture: Thursday 22 Jan, at noon at Spisestedet p H¯yden. If you’re a person like that, in Bergen, please join us! People who tend to turn up to these lunches include Jon Hoem, Jeremy Welsh, Trond Lossius, Hanne-Lovise Skartveit, Thomas Brevik, Carsten Jopp, Susana Hertrich and more. The next net lunch will be on February 6, when Jeremy Yuille‘s in town from Melbourne. He works with sound and computers and sonic design.

Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

1 Comment

  1. lostlog

    Lunch
    Lunches are great for meetings. Today me, Gisle Frøysland, Frode Thorsen and Gitte Bastiansen sat down to discuss future plans for our joint project “Cracker”. Two conclusions:

    – When collaborating on projects, you immediately loose control of …

Leave A Comment

Recommended Posts

AI STORIES

AI-generated stories have longer endings than human stories

My colleague Jessica Witte has just shared a preprint where she compared the emotional arcs of the stories we generated using gpt-4o-mini to those of human-authored (pre-2022) stories from the subreddit r/WritingPrompts, conveniently gathered in this dataset. She found a distinct difference in the endings of the LLM-generated stories: both […]

Academia

How to peer review a paper in 2026

Dorothy Bishop, a psychologist, wrote a useful list of what reviewers need to look out now that so many papers are bad science that looks good thanks to LLMs. Read her whole blog post, she explains it well, but here’s a brief version because I’m pretty sure we’ll be needing […]

AI and algorithmic culture

“So what if it was ChatGPT? It *could* have been true!”

I recently read a good article on the different kinds of truth a language model operates with by Luke Mann, Liam Magee and Vanicka Arora, Truth Machines: Synthesizing Veracity in AI Language Models, but despite its lovely typology of truths (consensus, correspondence, coherence and pragmatic) it doesn’t help me with […]

AI STORIES

AI shimmer and sparkle

I have this hunch that sparkles and glow and shimmer are somehow a point in the latent spaces of LLMs that have more connections than you would expect. Perhaps their connotation to magic and to the unknown matches some of the mystique of genAI? Or perhaps these words are used […]

AI and algorithmic culture Digital Art

Don’t do a systematic review if you’re in the humanities

This paper is a great example of why you probably shouldn’t use a systematic literature review for a theoretical and conceptual research question like “How does artificial intelligence affect the perception of authenticity and aura in art?” However, if you’re looking for an annotated list of 48 recent articles about […]