Imagine a story that grows as you read it:

Itís an awful idea. Imagine reading a story that may be a thousand words or a thousand pages long, you have no way of knowing which. It would be maddening. And yet thatís what a relationship is: a story of unknown duration. I suppose the difference is that a relationship, as lived, is unwritten, with no ending to peak at.

Weblogs are such stories too, of course. Your favourite weblog might end tomorrow. It might be deleted from the server. All the comments you’d carefully crafted would be as though never written, the links that tied your work to it would be broken, bleeding, gasping with surprise. It’s not a matter of books without end, it’s not knowing when the end will come.

Luckily we’re all polygamous when it comes to weblogs.


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

3 thoughts on “how long

  1. Florine

    Polyblogous (?) as I am, I hope this isn’t a break-up note. 🙂

    (Though you might find it interesting to see how people react when a blog closes for some time, and they don’t know how long it’ll take.)

  2. nickm

    Blog-based polygamy? But what about those of us who don’t allow comments? Does that constitute online onanism?

  3. Jill

    Not a breakup message, good heavens no. Online onanism? No, surely that would be if you wrote and wrote but never read?

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 […]

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 […]

“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 […]

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 […]