I don’t get much spam. Part of the reason is the audacious antispamming campaign led by postmaster@uib.no, who now not only uses a blacklist but also a greylist. As I understand it from this paper, if someone sends me an email and I don’t already have a relationship with them (I’ve received email from that account and from that IP-address before) their email is temporarily refused. If they have a real mailserver, they’ll try again in ten minutes and the mail will be let through. If the email’s being sent from an infected personal computer, as, apparently, most spam is these days, there’ll be no real mailserver and the email will never be resent. Anti-spam technology is fascinating. Except when major ISPs like Earthlink don’t follow standard rules about resending rejected mail. Ah well, at least our dear postmaster speedily whitelists my friends when I ask him to. I could opt out of the antispam, but I won’t. The reports I get each week about which mail was blocked are far, far too long.


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

1 Comment

  1. Anders Jacobsen's blog

    ”Greylisting” to kill spam?
    […] mailservers temporarily rejecting incoming mail from unknown senders / mail server combinations, relying on RFC2821 (SMTP) error codes to force the sending mailserver to retry 10 minutes later. […]

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 […]