Raiding the inarticulate since 2010

accelerated academy acceleration agency AI Algorithmic Authoritarianism and Digital Repression archer Archive Archiving artificial intelligence automation Becoming Who We Are Between Post-Capitalism and Techno-Fascism big data blogging capitalism ChatGPT claude Cognitive Triage: Practice, Culture and Strategies Communicative Escalation and Cultural Abundance: How Do We Cope? Corporate Culture, Elites and Their Self-Understandings craft creativity critical realism data science Defensive Elites Digital Capitalism and Digital Social Science Digital Distraction, Personal Agency and The Reflexive Imperative Digital Elections, Party Politics and Diplomacy digital elites Digital Inequalities Digital Social Science Digital Sociology digital sociology Digital Universities elites Fragile Movements and Their Politics Cultures generative AI higher education Interested labour Lacan Listening LLMs margaret archer Organising personal morphogenesis Philosophy of Technology platform capitalism platforms populism Post-Democracy, Depoliticisation and Technocracy post-truth psychoanalysis public engagement public sociology publishing Reading realism reflexivity scholarship sexuality Shadow Mobilization, Astroturfing and Manipulation Social Media Social Media for Academics social media for academics social ontology social theory sociology technology The Content Ecosystem The Intensification of Work The Political Economy of Digital Capitalism The Technological History of Digital Capitalism Thinking trump twitter Uncategorized work writing zizek

Automatic writing with image generators

I did a lecture earlier this week in which I surprised myself by how vehemently I argued that image and video generators are (mostly) functionally useless. The problem I think is that you can rarely produce exactly what you want through a precise description. I can see you could stock libraries of generic stock images this way which someone then chooses from (with all the horrible implications for employment which follow from this) but I struggle to see how you could use them in an autonomous way, apart from for incredibly generic and straightforward things e.g. “a photo of a family at the beach looked happy by the sea”. Though having tried this example, the result was creepy as fuck:

A joyful and serene family portrait at the beach. The scene features a family of four: two adults and two children, all smiling and enjoying a sunny day by the sea. The parents are sitting on a beach blanket, one wearing a wide-brimmed sun hat and the other with sunglasses, while the children play nearby, building a sandcastle. The background shows gentle waves lapping at the shore and a clear blue sky. The family is dressed in casual beachwear, with bright and cheerful colors, capturing a moment of happiness and relaxation by the ocean.

However I tried automatic writing, in the sense of genuine automaticity rather than free writing, in order to see what happens. You can get some evocative images if you approach them in this way but they serve no discernible purpose other than momentary (wasteful) amusement:

It’s interesting how ChatGPT converts the free writing into a prompt, piggybacking on the sophistication of the text model to make the image model less crude than it would otherwise be. I can’t shake the feeling there’s an art to this which I’m failing to grasp, but it’s certainly a very different process to text based prompting.