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Large Language Models (+PJ) tackle emergence ! V. Towards an understanding of complex relational networks that better reflects the true nature of human intelligence
Illustration by DALL·E (+PJ)
P.J.:
Great! I’m totally reassured about your grasping the emergent process. Now, you must have noticed that while the growth of the original graph is fully transparent to human beings (you add a new word attached as a label…
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Large Language Models (+PJ) tackle emergence ! IV. An approach consistent to learning in biological neural networks
Illustration by DALL·E (+PJ)
P.J.:
Ok. If that’s clear to you, you will be acquired to the idea that when new information is provided for graph build-up, it shouldn’t be through reversing to the original graph (which would entail loss of information) but…
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Large Language Models (+PJ) tackle emergence ! III. Information gains when a graph is transposed into its dual
Illustration by DALL·E (+PJ)
P.J.:
Ok, if it seems plausible to you that there are emergent phenomena when transposing from the original graph to its dual, how would you explain that there is a gain in information in the process…
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Large Language Models (+PJ) tackle emergence ! I. Intolerable praise for … obesity !
Illustration by DALL·E from the text.
Last month (from 6 to 9 April), I offered here a series of 6 posts where I quadrilogued with GPT-4 and a duplicated version of Claude 3 about the P vs NP conjecture, a…
