New Kid has an interesting post about what the transition from grad student to employed junior academic with a PhD feels like. Like her, when I was a PhD student I had senior academics tell me how lucky I was to have all that time for research. “It never gets as good again,” they said, and I see what they mean now that I have to deal with the daily grind of finding a whole hour to read or write amidst meetings and teaching and so many people who need me. But no. Being a grad student isn’t better. Yes, you have more time, but you have so much insecurity, you don’t know whether you’ll make it, whether you’ll ever get a job, you’re badly paid and in this limbo of neither quite student nor employee while your friends are starting to do well in their non-academic careers, and because nobody needs you you don’t yet know the worth of what you know. Don’t get me wrong: being a PhD student is exciting too, and wonderful, but despite that, I’d much rather be where I am now. It’s completely true: People do take you more seriously once you have that PhD, and having an actual job is another step on the get-taken-seriously ladder. Nah, I wouldn’t want to be a grad student again. Now a sabbatical, ooh, I’ll really know how to use that once I get one!
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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 […]
Last night I attended the OpenAI Forum Welcome Reception at OpenAI’s new offices in San Francisco. The Forum is a recently launched initiative from OpenAI that is meant to be “a community designed to unite thoughtful contributors from a diverse array of backgrounds, skill sets, and domain expertise to enable […]
I’m thrilled to announce another publication from our European Research Council (ERC)-funded research project on Machine Vision: Gabriele de Setaand Anya Shchetvina‘s paper analysing how Chinese AI companies visually present machine vision technologies. They find that the Chinese machine vision imaginary is global, blue and competitive. De Seta, Gabriele, and Anya Shchetvina. “Imagining Machine […]
Whenever I give talks about ChatGPT and LLMs, whether to ninth graders, businesses or journalists, I meet people who are hungry for information, who really want to understand this new technology. I’ve interpreted this as interest and a need to understand – but yesterday, Eirik Solheim said that every time […]