Could Neuronal System & Even GPT Give Rise to a Computer with a Variable Arrow of Time?
Abstract
The discussions related to ChatGPT, which seems to work too well to be a mere program running in a classical computer, inspired considerations which led to a considerable progress at the level of the TGD based model of nerve pulse. The emerging model, based on zero energy ontology (ZEO), differs drastically from quantum neural networks and suggests a completely new vision of quantum physics based computation in biosystems. A computation allowing variable arrow of time would be in question involving a sequence unitary time evolutions as counterparts of quantum computations for states, which are superpositions of classical computations, followed by "small" state function reductions (SSFRs) as counterparts of weak measurements of quantum optics and of Zeno effect. Also "big" SFRs (BSFRs) changing the arrow of time would be involved. One can ask whether the unexpected success of GPT might involve this kind of transition so that one could say that spirit enters the machine. Besides the outcomes of two chats, I include a more detailed view about what the TGD view of the quantum analog of GPT could be and how its analog could be involved with the sensory perception in the TGD Universe. I also discuss the inverse diffusion process central for the generation of images from their verbal descriptions and ask whether the TGD analogue of the inverse diffusion could be an essential element of also GPT. I will also pose the question whether GPT could involve TGD based quantum physics, that is zero energy ontology (ZEO), in a non-trivial but hidden way.
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