Mind Science

Why Current AI Architectures are Not Conscious: Neural Networks as Spinfoam Networks in a Theory of Quantum Gravity

Authors: Trevor Alexander Nestor
Comments: 113 Pages. (Note by viXra Admin: Please submit article written with AI assistance to ai.viXra.org in the future)

Classical deep neural networks excel at many tasks and even multimodal generative outputs but remain energetically inefficient by orders of magnitude from the human brain, lack mechanisms for integrated binding, and have been argued toexhibit no genuine route to consciousness. While inspired by neural architectures in brain tissue, deep neural networks face limitations such as scaling limits. Drawing on loop quantum gravity (LQG) and the Orchestrated Objective Reduction (Orch -OR)theory of consciousness, we introduce a framework model of Neural Spinfoam Net-works (NSNs), a bio-inspired AI paradigm in which each neural layer is recast asa spin-network and each learning update as a spinfoam transition by means of gravitational collapse at a phase transition at entropic limits described by a UV/IR fixed point and by the Monster Conformal Field Theory (Monster CFT). Our novel theoretical model leverages Majorana-fermion braiding within spinfoam geometries and a gravitational feedback loop mediated by Majorana biophotons to achieveone-shot, polynomial -time credit assignment for the NP-hard perceptual binding problem. The network’s global state is encoded by a noncommutative-geometry spectral triple (A, H, D), where the Dirac-like dilation operator’s smallest nonzero eigenvalue corresponds directly to the shortest nonzero lattice vector, thereby achieving perceptual binding by means of gravitationally induced phase transition, forming the basis for a more plausible mechanism of backpropagation and weight transportthat are currently unexplained by classical models of brain function. Periodic Floquetdriving and the Cayley -transformed microtubule Hamiltonian yield topologically protected, room-temperature quantum coherence in tubulin-analogous nodes. Recent demonstrations of microtubule superradiance and time -crystalline oscillations within brain tissue further substantiate sustained entangled states and ultrafast biophotonic readout as described by Orch-Or theory, in spite of criticisms, which are discussed.
Category: Mind Science

About the Possibility of Obtaining Information from the Future (О возможности получения информации из Будущего)

Authors: A. V. Antipin
Comments: 14 Pages. In Russian (Note by viXra Admin: Please submit article written with AI assistance to ai.viXra.org)

This article is a communication clarifying the results of our paper [1] in connection with the discovery of additional data. Based on the data from the numerical lottery results: over 13 years, 669 draws, 7,135,083,551 participating variants, a systematic excess of the probability of winning over the theoretical value was found. Thus, the results of the current study, in general, coincided with previous results. Therefore, based on both the study [1] and the present, we confirm our opinion about the high, statistically justified confidence that humans, as a species, have the ability to foresee. More detailed discussions on various aspects of the study are described in the article [1]. Due to the fact that they have not changed, they are not reproduced here.

Данная статья является сообщением, уточняющим результаты нашей статьи [1] в связи обнаружением дополнительных данных. На основании данных по результатам числовой лотереи: за 13 лет, 669 тиражей, 7 135 083 551 участвовавших вариантов, обнаружено систематическое превышение вероятности выигрыша над теоретическим значением. Т.о., результаты текущего исследования, в целом, совпали с предыдущими результатами. Поэтому, на основании как исследования [1], так и настоящего, мы подтверждаем своё мнение о большой, статистически обоснованной уверенности в том, что человек, как вид, обладает способностью к предвидению. Более развёрнутые обсуждения, касающиеся различных аспектов исследования, изложены в статье [1]. В силу того, что они не изменились, здесь они не воспроизводятся.
Category: Mind Science

Beyond Counting Sheep: Exercises for Voluntary Rapid Eyes Movements During Insomnia

Authors: Salvatore Spadaro
Comments: 3 Pages.

a cognitive-behavioural method to avoid insomnia is presented. This procedure involves exercises to generate a voluntary REM phase. This method is theoretical and has been tested only by the author. It is presented for empirical testing on a larger number of subjects.
Category: Mind Science