Let me show you how art and culture drive technological development.
Let me show you how art and culture drive technological development.
At the McLuhan Program in Toronto they aim to “essentially (..) teach people to think like Marshall McLuhan did… you know… come up with cute aphorisms, predict the future, that sort of stuff…” I wonder if that’s the official learning outcome? That quote’s from David Weinberger’s blog who links to it: the title of a course blog for the program is, of course, What is the message?
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At last week’s AI STORIES workshop, Gabriele de Seta led a workshop exploring Butterflies.ai, a social media platform where all the users are AIs. Gathering a group of researchers in a room for a few hours to explore and discuss a specific genAI platform turns out to be a really […]
When I studied literature we mostly read the classics. Great literature, the canon. But that’s not necessarily what most people actually read. What if instead of comparing AI-generated literature to the literary canon, we tried comparing it to super popular and commercial forms of literature instead? Like the folkebøker that […]
Synthetic media is a current popular term for AI-generated videos, texts and images. I think the first use was only a few years ago in 2018, but I couldn’t find an overview of its use so thought I’d cobble one together here, mostly because I like Elena Pilipets and her […]
OpenAI plans to charge $20,000 (USD) a month for an AI agent that can do “PhD level research”. Maybe all the PhDs and postdocs recently fired by DOGE should band together and sell their services as “AI agents” – apparently some people will pay more for robots than people. At […]
This is my original Norwegian draft of an essay published in the Danish foreign policy magazine Udenrigs today as part of a special issue on AI and foreign policy. I argue that AI is influencing the way we tell stories, and more seriously, that there is a risk of this […]
In 2022 I learned about FAIR data, the movement to make research data Findable, Accessible, Interoperable and Reproducible. One of UiB’s brilliant research librarians, Jenny Ostrup, patiently helped me make the dataset from the Machine Vision project FAIR in 2022 – I wrote a little bit about that in my […]