Thanks for explaining how the blog is written. I clicked the link and it doesn’t seem to be made clear on the blog itself. You should definitely be transparent about it there. Also, both the blog and your email to the list have a very easy to recognise AI voice, which I guess you're probably happy with, but you should be aware that it affects how people will read your words, just as it would affect reception if you wrote everything in ALL CAPS or wrote your blog in the style of Shakespeare. AI-generated or AI-assisted writing, and even "light grammar edits" by AI, also affects the content of your writing. I recommend reading up on this, e.g. in these articles: Abdulhai, Marwa, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Leibo, Max Kleiman-Weiner, and Natasha Jaques. “How LLMs Distort Our Written Language.” arXiv, March 18, 2026. https://doi.org/10.48550/arXiv.2603.18161. (or watch this 43 min video of presentation of this paper<https://www.youtube.com/watch?v=OnDQj8w5uOg> - much easier to follow than the computer science style language of the paper) Rettberg, Jill Walker. “LLMs Are Metaphor Machines: Orbital Argumentation, Misaligned Citations, and Scientific Fabrication in AI-Generated Academic Papers.” AI & Society, 2026. https://doi.org/https://doi.org/10.1007/s00146-026-03310-4. John Gallagher's explanation of how LLMs love of lists makes their output harder for readers to parse is also really useful: https://www.youtube.com/watch?v=cHRs6IsXpL8 Jill Jill Walker Rettberg Professor, Co-Director Center for Digital Narrative<http://uib.no/en/cdn>, University of Bergen Fellow of The Norwegian Academy of Science and Letters Leader of AI STORIES<https://www.uib.no/en/cdn/169806/erc-wants-see-what-shapes-stories-ai-tells-us> (ERC-AdG; 2024-2029) and Machine Vision in Everyday Life<https://www.uib.no/en/machinevision/> (ERC-CoG; 2018-2024) Blog and newsletter: http://jilltxt.net - https://www.uib.no/en/persons/Jill.Walker.Rettberg ________________________________ From: Martin Berg via Air-L <air-l@lists.aoir.org> Sent: Saturday, 17 October 2026 05:32:32 To: air-l@lists.aoir.org <air-l@lists.aoir.org> Subject: [Air-L] Slightly Uncanny, a blog that reads AI sociologically Dear all, Much has been said lately about what we share with AI, what we delegate to it, and who answers for what it then does in our name. Some of us, perhaps many and myself included, are now facing the last day of the conference in Mexico City. Luckily I have a fancy umbrella. It also seems a good moment for a slightly sheepish note about an experiment of my own that sits right inside those questions. Slightly Uncanny<https://www.slightlyuncanny.com> is a blog that reads AI sociologically. A new post appears every day, each day of the week with its own form: essays, thought experiments, field notes, a lexicon, near-future scenarios, a Saturday long read with an audio version and a Sunday supplement. The posts start from my own research and from voice notes I record, and a language model does much of the drafting. On Mondays the machine also writes under its own name, in a series of machine autoethnography where it reads its own output and asks what it can and cannot know about itself. So the machine is put to work here as a thinking lab, possibly a rather bad one, and possibly the whole thing is just a slightly odd idea. Whether the writing is mine, the machine's or something in between is a question the blog keeps open on purpose. Readers on this list might find a way in through The Letter Against the Machine<https://www.slightlyuncanny.com/long-read/the-letter-against-the-machine/>, on the open letter against generative AI in reflexive qualitative research, or The Sentence I Do Not Write<https://www.slightlyuncanny.com/machine-autoethnography/the-sentence-i-do-not-write/>, where the model reads its own post summaries. If you would rather not visit the site, you can sign up for The AI week<https://www.slightlyuncanny.com/about/#sunday-letter>, one email every Sunday with the week's posts. Comments, objections and suggestions are very welcome, on or off the list. Best wishes, Martin Berg -- Martin Berg, PhD Professor | Technology and Society, Malmö University Director, Digital Work Futures Research Lab Adjunct Professor (Research), Monash University (Emerging Technologies Research Lab) martin.berg@mau.se<mailto:martin.berg@mau.se> | +46 40 665 80 60 Profile: https://mau.se/en/persons/martin.berg DWF Lab: https://mau.se/dwf LinkedIn: https://www.linkedin.com/in/profberg/ [External email] Make sure you recognize the sender's email address before you click links, open attachments, or get involved in financial transactions. Contact IT-support BRITA if you have any questions.