Entrevista a Geraint Wiggings

Santiago Negrete (SN).This number of Virtualis is about Computational Creativity and the Arts, creativity in Design too, and I wanted to interview you because of your musical as well as theoretical experience in Computational Creativity.This is what we want to talk about.So to start off, I would like to ask you what you think of the new technologies regarding Large Language Model (LLM) technology and its use in creative work.Is it useful?Do you think it's interesting?What is your general opinion?Geraint Wiggings (GW).It's very difficult to answer that question in just a few words.I think it depends a lot on what one is doing and why one is doing it.So, I mean, maybe it's worthwhile starting off talking about what a LLM does.And essentially what it does is it learns, broadly speaking, an approximation of the statistics of language so that, in the event that it finds a question that is sort of inferable from its learned information, it's capable of guessing what a human might respond to that question.And I think it's really important to put an emphasis there on guessing, and what a human might answer because, in general terms, in terms of these LLMs, it is absolutely clear that very many people do not understand that there is no notion of truth in them.So they make up 1 Geraint Wiggins is a professor specializing in computational creativity and artificial intelligence.He is affiliated with the Vrije Universiteit Brussel and Queen Mary University of London.His work focuses on AI's ability to simulate intelligent and creative human activities, and he has played a key role in developing the field of computational creativity.He also leads the EUTOPIA AI Learning Community, which fosters collaboration among universities in AI research and education.This initiative includes specialized courses, seminars, and even AI programming tournaments.