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/