• Copilot saving time for individuals does not mean Copilot saves time for organisations

• The all-you-can-eat AI buffet has closed

• Why AI vendors are targeting public institutions

• Are LLM-written Substacks getting out of hand?

• How will universities ration internal access to LLMs?

• Don’t be a meat proxy for an LLM

• Will models fine-tuned to particular domains start consistently outperforming frontier models? Encoding habitus into LLMs

• Oh hello, I am also an AI. Would you like to switch to gibberlink mode?

• When LLMs give each other therapy

• Will economic constraints on token use in organisations drive the emergence of norms?

• The museum of meaningless metrics

• KPMG report contained AI hallucinations on benefits of . . . AI

• The three structural trends shaping the AI crisis in higher education

• What do we mean when we talk about a scaffold for learning?

• Psychoanalysis and infrastructure

• What is AI criticism for?

• Naturalism in the study of LLMs

• Ex-uber CEO claims that he’s close to major scientific discoveries through ‘vibe physics’

• The rapid rise of social gatherings conceived and enacted by LLMs

• Regular Claude users are slightly less likely to have personal conversations with it

• Which types of media does AI cite?

• AI in HE: What the hell is going on?

• 👀 Waiting for the Crash – Sketching the Enshittified Future of Large Language Models 

• Against ‘cognitive outsourcing’

• What do LLMs do when they are left alone?

• Claude Code GitHub commits over time

• LLMs as a form of self-defence against bureaucratic platformisation

• A few thoughts about the temporality of LLMs

• The varied social lives of the LLM: the modes of existence of a model

• 🤖 A call for experiments in LLM villages

• Why we need a machine sociology #5: The jagged frontier of agentive AI and the risks of sociological prompt injection

• The new Claude advert is brilliant: enshittification as a differentiation strategy

• Why we need a machine sociology #5: the internet will soon be filled with lost and confused LLMs

• Why we need a machine sociology #4: the relational configuration of agents determines their success

• Why we need a machine sociology #3: because the existing projects are absolutely fascinating

• Why we need a machine sociology #2: Moltbook is not the thing. Moltbook shows us what the thing is going to look like.

• Dynamic context management is the achilles heel of Claude Cowork

• The rapid diffusion of LLMs tests the capacity of organisations to bear loads

• An army of assistants working while you sleep

• How do government ministers use ChatGPT?

• ‘AI slop’ as a form of affect mining which transforms engagement farming

• You can’t understand ‘AI slop’ without understanding engagement farming

• LLM enshittification mechanism #1: model memory sometimes confuses the shit out of GPT 5.2

• Using LLMs for activism

• Some notes on the political economy of AGI

• A systems sensibility rather than a systems theory

• The psychic structure of disciplinary imperialism

• A single point of failure for all the world’s digital infrastructure

• What do we mean by responsible AI? A panel discussion

• 🦾 Ten propositions about generative AI in higher education

• What kind of AI bubble are we in?

• The two tier future of LLM-infused higher education

• The first AI ‘law firm’ in the UK