Searching Technorati for useful phrases (“narrative trajectory” or “that David Lodge novel with the conference with one paper a day and the rest was coffee breaks”) doesn’t necessarily get you what you think you want, but you do tend to end up with some good reads. Like this description of academics not daring to leave a presentation when the fire alarm went off:

I had a strong sense that I was in a scene from a novel by David Lodge, and that the next day the headlines would read, “Fire in Toronto Hotel–Hundreds of Professors Die.” When a fire alarm goes off, you’re supposed to evacuate the building. That is why they are there. But we were so interested in the session, and so used to looking for a source of authority, that we refused to act prudently–probably because we feared that prudence would look foolish after we found out what had actually caused the alarm. In the end things worked out for the best. But the popular notion that academics are otherworldly, impractical, and perhaps dangerous was reinforced.

I think that’ll be my new discipline: start the day with a technorati search for a keyword that, well, OK, let’s say it should be a little more related to my research than that last one.


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

1 Comment

  1. Martin G. L.

    The link is a bit messed up, and the David Lodge novel is “Small World”, I believe.

Leave A Comment

Recommended Posts

screenshot of blogpost from sept 11, 2001, about blogger.com showing blog posts about the attacks
Networked Politics social media

25 years since September 11

I’ve been reading through my blog posts on September 11, 2001 and the days that followed. The things that stand out to me – in addition to the horror of the attack itself – are how massively we (or at least I) used the web to understand what was happening, […]

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 […]