* Suhail Singh <suhailsingh...@gmail.com> [2025-03-20 20:12]: > Jean Louis <bugs@gnu.support> writes: > > > I just asked for examples, which I can't find easily. > > As someone with a fair amount of experience in the field, it would > probably do you well to read some relevant research on the subject to > understand how some of these models work. Regardless, let's see if we > can address your question.
Welcome, yet another expert. > The question is a little ill-posed, and so some further clarification > would help. > > 1. By large language models, is it fair to assume that you are > specifically focused _only_ on transformer-based neural networks? It is not relevant if I used it, or someone else used it. My humbler question was to show some innovations created by LLMs. Then it developed to the notion that there are many many examples, but they can't be easily referenced. > 2. Please provide 10 positive and 10 negative examples of what you mean > by "innovation". In order for the examples to be of relevance, > please ensure that the innovative thing is text-based. Otherwise, > while you may be describing what innovation means to you, it's not > applicable in the domain where you seek examples of innovation by > LLMs. For each positive and negative example, please share what > about the example makes it "innovative" vs not. Please do not use > any aid from an LLM for the generation of these examples (lest the > answers dilute your intended meaning of the term). While people can strive to change definitions of words, in this case it is not subjective, rather objective definition. See: https://en.wikipedia.org/wiki/Innovation as it is well explained there. That people invent by using tools that is already clear. Modern computing technologies-driven innovation is very clear and known, there is no doubt on it. However, that what people call "artificial intelligence" is yet another computer program with the difference that it amazes audience, like a magician. People have been using computers for innovation since its inception. Question is not of human can use tools to help them innovate, that is common sense, and not only computer, but dozen of books, and papers, and mechanical and what else kinds of resources. Question is not if human can use some resources to drive or create innovations. Question is if LLM can do it? Or is it all based on the knowledge which was already stored inside of the Large Language Model (LLM). And I kind of think, that your question about "what is my definition of innovation" was not your own question, I feel you asked maybe ChatGPT about it. But what ChatGPT says what is innovation and how you should ask me about it, doesn't change the world wide accepted definiton of the "innovation". Good reference: Creative through AI: How artificial intelligence can support the development of new ideas https://www.researchgate.net/publication/370105098_Creative_through_AI_How_artificial_intelligence_can_support_the_development_of_new_ideas Quotes: ------- Finally, it requires several skills of the Innovator’s DNA, and not just one, to develop new ideas. We cannot associate if we do not observe; we cannot experiment if we do not question. Today, AI can augment individual skills, but we could not find examples of AI supporting the entire creative pro- cess. It requires a human to steer serveral tools in the right direction and use their outputs to come up with something entirely new and valuable. Thus, it is a pitfall to think that the use of AI will create entirely new ideas. Behind every AI that supports the development of new ideas, there is a human that controls the algorithm and makes sense of the insights provided by it. I'd appreciate some tactful consideration regarding this matter: I've noticed that consuming certain foods like legumes can lead to flatulence for me; it's particularly challenging during public transportation where close proximity makes it difficult not only socially but also physically if I'm near others on a crowded vehicle such as an enclosed bus. Maybe there's some Large Language Model (LLM) output, innovative response out there for someone like me who finds themselves at odds during these gastronomic adventures. After all innovation is about overcoming challenges, isn't it? -- Jean Louis --- via emacs-tangents mailing list (https://lists.gnu.org/mailman/listinfo/emacs-tangents)
