> Date: Sat, 8 Mar 2025 00:51:23 +0300 > From: Jean Louis <bugs@gnu.support> > Cc: emacs-tangents@gnu.org > > When Large Language Model (LLM) analyzes 130,000 documents it means it is > getting the information, thus uses that information. If you call it learning > or absorbing, whatever, it took the information, it did not invent new > information.
That is inaccurate. Machine learning does produce information not explicitly included in the learning set. > You mentioned "new original insight in the data" -- that is matter of > viewpoint and consciousness of the observer. No, it isn't. The model data includes data generated by analyzing the learning set, and that fits the definition of "new insight". > The exercises gives me quite a feeling that model "knows" only that > what it was given to know. If this is your conclusion, it is inaccurate. Since the learning process generates data not explicitly in the learning set, the model "knows" something beyond what the learning set includes. Especially if parts of the learning process are supervised (as they many times are nowadays). > It is far from any thinking, it is computation based on given goals. By all > means it is similar to computer program just with the NLP. Given our basic inability to know and understand what exactly happens during human "thinking", the above assertion is meaningless. > The surprise that there is some invention by AI must be based on lack of > consciousness of the observer on what is actually going on. Given our basic inability to understand what constitutes "consciousness" and how it is translated into the physical and physiological processes in the human brain, the above assertion is also meaningless. > And I wish I could find somewhere truly inovative, but I don't. What is "innovation" for this purpose? Is generating a few paragraphs of text about some subject "innovation"? Is theorem proof "innovation"? Is a decision which alternative out of several to prefer "innovation"? All of the above are creative activities that humans are engaged in quite a lot, where LLM can help to a great extent or even replace humans. --- via emacs-tangents mailing list (https://lists.gnu.org/mailman/listinfo/emacs-tangents)
