10/18/2023 0 Comments Ai weirdness candy hearts![]() ![]() All of this falls into question if, say, OpenAI closes its doors, the European Union blocks Microsoft from running Copilot, or a judge orders Google to delete Bard and all its works. Thanks to a dataset of over 7,100 costumes crowdsourced from readers of this blog, I’ve been able to generate Halloween costumes with progressively more powerful neural networks. And there’s surely a galaxy of innovative practices and experiments under way. In my opinion, one of the best applications of neural networks is for generating Halloween costumes. The candy heart messages it produced well-being, them will the judge. Given a set of data, a neural network will learn the view that lets it imitate the original data - although hers imitation is sometimes imperfect. As before, CLIP is the judge, telling another algorithm whether this collection of pixels looks more like a candy heart with a message than that. MYSELF collected all the genuine heart messages I could find, and then gave them to a learning algorithm called a neural network. IT departments have created practices and policies around these tools, or are working on them now. Rather than a single obsessively-scribbled-upon heart, we now have a vast universe of candy hearts, jostling against one another with their messages screaming incomprehensible love at the viewer. ![]() Some faculty are researching LLMs in various departments: computer science, media studies, business, technology and society, art, etc. I’ve trained neural networks to generate candy hearts before, and the process goes something like this: collect as many existing candy heart messages as I can (which was 366) give them to a clueless neural net that tries to imitate them. There are students, faculty, and staff counting on AI to assist with their writing, image creation, number crunching, etc. There are faculty (like me) building assignments using AI. Keep in mind that GPT-2 was not a neural net specially trained on candy hearts, Shane says in her post, adding that What I was doing was kind of like walking up to someone and shouting. And that can have ripple effects across academia. Odd ice cream flavors, confusing pickup lines, cursed candy hearts, and the occasional phantom giraffe. I raise them because as higher education explores the many uses and implications of generative AI, we should bear in mind that it might, in a sense, collapse. These are possibilities, not probabilities: options we might take. "Wrapping this up, I think it’s clear that there are many ways for generative AI business to get cramped, squeezed, or generally clobbered in the near future. ![]()
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