Hello, The discussion started from me being curious if there is anything truly innovative invented by a LLM or similar systems.
Too many opinions, zero examples. Innovation refers to the process of creating new ideas, products, services, or methods that bring about significant improvements over existing ones. It involves introducing something novel and valuable which can lead to advancements in technology, business practices, social systems, etc., often resulting in increased efficiency or effectiveness. Key aspects include: - Creativity: The generation of original concepts. - Implementation: Putting new ideas into practice successfully. - Impactful Change: Leading to measurable improvements or transformations within a field. Innovation can occur across various domains such as technology, business models, processes, and social structures. It's often driven by the need for competitive advantage in markets or solving pressing problems more effectively than before. 1. I have mentioned I can't find examples, I can't find it on Internet. I can find deceptful opinions stemming from observations. 2. I have asked for examples, as if there is opinion that it is common, then let me have some examples. > Sorry, I don't have the time, too busy working on Emacs on my free > time. But on my day job, among other duties, I lead a group of > engineers and algorithm developers who actually develop ML-based > solutions to hard problems, so I know this stuff first-hand. Though discussion was about providing some examples. That you lead group of engineers is remarkable, though it is not the example of true innovation by some of LLM. That you use it as tool to solve problems or to access information in organized manner, that of course I acknowledge and fully understand. Generated text is not an innovation. I have got a feeling that any kind of generation is innovation, I don't agree on that. - If I use fractal generator, I may get patterns you have never seen before, it all comes from computing based on known formula, there is no significant improvement, thus it is not innovation. That generation of text, image, video, seems "creative", as such, that I understand, but we speak more generally about technicalities, and not what impressed people perceive from it. > I'm not "excited" about ML, I'm using it to solve practical problems > that are quite hard or even impossible to solve by other methods. > > Instead of asking LLMs for answers to the questions, try to actually > reading up on the subject and understanding how LLMs are learning and > what they produce as results of the learning. That is where we have the problem, my study result is that there is no true innovation. And result of this discussion is that there is no example of such innovation. Bye Jean Louis --- via emacs-tangents mailing list (https://lists.gnu.org/mailman/listinfo/emacs-tangents)
