Unpacking the Problem of the Autonomous Neural Network
Recipes for building a truly autonomous neural network surface in the information space on a regular basis. More often than not, the methods and approaches coincide regardless of the author. And although they look original, most of them have in fact been formalized with the help of LLMs — and LLMs, as we know, work very well with existing knowledge.In this article I will analyze the main techniques being proposed and the faulty foundation they rest upon.IntroductionThe occasion for writing this was a recent (though since withdrawn) article on Habr by @VSVLADILEN.The author proposed much of what is endlessly discussed on specialized blogs and forums — and professional researchers often say the very same things.So, what the author and many of his colleagues mean by an autonomous neural network:A being possessed of internal motives, capable of boredom, of changing the priorities of its life, of making illogical creative leaps, and, ultimately, of searching for the reasons behind its own creation.
