Let me show you how art and culture drive technological development.
Let me show you how art and culture drive technological development.
Have you noticed that when the audience of a presentation laughs, they all look at each other? It’s the only chance you get to look each other in the eye.
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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 […]
Thanks to everyone who came to the triple book talk of three recent books on machine vision by James Dobson, Jussi Parikka and me, and thanks for excellent questions. Several people have emailed to asked if we recorded it, and yes we did! Here you go! James and Jussi’s books […]
Finally I can share what I’ve been working on! I absolutely loved writing this book, taking the time to dig deep into histories, ideas and theories that I think really help understand how machine vision technologies like facial recognition and image generation are impacting us today. I wanted the book […]
Matt Whyndham
I find it fascinating to know what the audience is like for a given event. It tells me more than the abstracts ever could. Strategies for having a good look at the audience, without going to the trouble of being a speaker or an organiser: a) pretend you were meeting your colleague and look around for them, b) come in late and walk up and down the aisle, negotiating for space throught the medium of eyebrow movements, c) look at them anyway ñ the world thinks academics are wierdos anyway. Works at the cinema too.