28-10-2026, 07:54 PM
(This post was last modified: 28-10-2026, 07:56 PM by npcompl33t.)
I just trained a GRU to write voynich, like the one in the article from the other day Torsten shared. I did not give it any information about section, hand , gradients, or anything else.
Yet when i feed it words from specific sections, i found I can train a simple linear model on the GRU's internal memory, and predict where on the gradient it is within about 12%. So it is learning information about the gradient, beyond section (Herbal A is about 40% of the entire curve), even though I'm not explicitly giving it that information.
Yet when i feed it words from specific sections, i found I can train a simple linear model on the GRU's internal memory, and predict where on the gradient it is within about 12%. So it is learning information about the gradient, beyond section (Herbal A is about 40% of the entire curve), even though I'm not explicitly giving it that information.