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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 […]
Matt K.
What does it mean–shannonize? Something to do with ol’ Claude?
Jill
Yes, the communication model Shannon. It’s this complicated geeky game Noah told us about because he and some collaborators are planning to do a project using it. The basic form is that you pick a word at random in a book, and write it down. That’s word A. Then you look for the same word again, in the same book or another book, and you write down the word AFTER the word you looked for. This is word B. Then you look for another instance of word B and write down the word that happens to be after that, and so you keep going until you have a long peculiar sentence. Then you laugh.
With computers you can do the same with series of words, and it sort of rewrites your words for you. Strange. One of the sites that lets you do it is The Shannonizer Assault Team, but I’m not sure they’re using quite the algorithm Noah was talking about. Programs Noah mentioned that do this are Babble, which is a DOS program so hard to run these days, and Prate, which is also a download, but newer. I’ve not actually tried them myself, and there may well be others I missed.