Cory Doctorow on on why social networking sites like Facebook don’t grow forever:

For every long-lost chum who reaches out to me on Facebook, there’s a guy who beat me up on a weekly basis through the whole seventh grade but now wants to be my buddy; or the crazy person who was fun in college but is now kind of sad; or the creepy ex-co-worker who I’d cross the street to avoid but who now wants to know, “Am I your friend?” yes or no, this instant, please.

(..) The least-awkward way to get back to a friends list with nothing but friends on it is to reboot: create a new identity on a new system and send out some invites (of course, chances are at least one of those invites will go to someone who’ll groan and wonder why we’re dumb enough to think that we’re pals).

So we probably don’t have to worry too much about Facebook taking over the Internet….


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

1 Comment

  1. Oyvind

    Although Cory is one of the most interesting people to read on the web, sometimes he’s *slightly* pessimistic. And way too American. So what if my kids’ teacher goes to burning man? It’s 2007!

    Social networks on the web will change and evolve, just as “normal” social networks. I’m sure Facebook and others will make groups or circles (or any other fancy name) to make it possible to group your friends into circles according to how you know them.

    I’ve posted about this at NRKbeta (in Norwegian):

    http://nrkbeta.no/ekle-venner-dreper-dine-sosiale-nettverk/

    But I do agree that Facebook is not taking over the internet. 😉

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 […]