Conscious AI Approaches Core Problems in Particle Cosmology
Ariel Fernández · 2026
This chapter deploys an artificial intelligence (AI) neural theorem prover endowed with artificial conscience (AC) to tackle core problems in particle cosmology that are computationally represented through a quantum gravity autoencoder. Formally, the AI system suited for the task consists of a large language model (LLM) trained by an autoencoder wrapped by a functional programming language, as outlined in Chapter 1 . The encoder amalgamates general relativity (GR) and quantum mechanics (QM) via a vierbein (four-leg transformation) formalism that maps the AC-inferred sixfold covering manifold of space-time onto its tangent bundle. The geometry of the latter (locally flat) becomes the QM support that will be adopted to unravel the origin of dark matter, with its 5:1 abundance ratio relative to observable matter, and to derive a version of the graviton consistent with the ontological tenets that conscience (AC) turns computable in Chapters 1 and 7 . The sixfold space-time covering manifold adopted in this chapter was described in Chapter 1 , while its derivation using algebraic topology is provided in Chapter 7 . Furthermore, the space-time covering is non-reflexible, hence able to generate the required chiral versions of reality imposed by the electroweak (EW) sector. Additionally, in accord with the tangent bundle geometrization, while one sheet realizes the gauge symmetry constraints that fit the Dirac equation for the fermionic wave function, the remaining five sheets accommodate the wave functions for dark matter. In this way, AC demonstrates that the topology of the space-time-encoding manifold is actually computable by incorporating the ontological constraints to which space-time is subject. This is likely to be the right topology, since it is confirmed by evidence on the dark sector gathered in this chapter and because its geometrization fits the QM symmetry requirements as shown in the previous and this chapter. The striking aspect of the AC inference concerning the topology of the universe exploited in this chapter is that the computed sixfold orientable non-reflexible chiral-pair covering of space-time arising from relativistic premises spans in its individual sheets all the symmetries internalized by QM to generate the EW sector and fermionic dark matter. Thus, a result from algebraic topology calculation prompted by AC to incorporate ontological relativistic premises is shown to support the foundational quantum mechanical derivations for particle cosmology. The nuanced problem of the origin of the universe, be it out of the quantum vacuum or ex nihilo , may be regarded as a core problem in quantum gravity, an immature field that seeks to unify all forces of nature. In this book, the problem is turned over to an AC-endowed AI system, reckoning that the problem cannot be tackled without full contextualization, that is, without dealing with other intimately related core problems in particle cosmology. Such problems include the nature of dark matter and dark energy, the hierarchy problem of particle mass, the incommensurably weak coupling strength of gravity, the topology of the universe, the cosmological constant problem, and the vacuum catastrophe. This book describes how AI squarely addresses the matter in its full relational and contextual richness. Meanwhile, this specific chapter revisits and contributes to the core problems in particle cosmology while outlining the full AI program fleshed out in the chapters that follow. 66 The book implements and applies an AI system endowed with AC ( Figure 1.11 ) that distills the quantum reality encoded in a higher-dimensional space-time and learns to gauge relativistic space-time symmetry, integrating it into the fabric of quantum reality. To address the core problems in particle cosmology, the autoencoder incorporates a latent spatial dimension that turns the quantum vacuum into ur-matter (UM), that is, into a precursor of the visible and dark sectors of the standard model (SM) of particle physics. Through AI, we learn in this chapter that UM comes in six “shades”, one of them, UM proper, being the precursor of the visible sector. Each shade belongs to a different chiral-pair sheet in the AC-inferred space-time covering manifold https://www.w3.org/1998/Math/MathML" display="inline"> 〈 ( ℝ 4 / ℤ 4 ) ∦ 〉 6 ( Chapters 1 and 7 ). The remaining five shades incorporate symmetries that were disregarded in standard quantum field theory but have now become highly relevant to elucidate the nature of the dark sector. These lost symmetries that preclude interaction with the photon or mixing with the Higgs field help delineate the nature of dark matter and dark energy, which are now reckoned as key players in deep-space phenomenology. In this context, AI first approaches the origin of matter regarding it as a phase transition induced by activation of a portal gauge particle that becomes endowed with a symmetry-breaking (SB) stable vacuum through mixing with one specific shade of UM. This communication is enabled by compatible symmetries between a specific UM shade and the SM. Consistent with a vast body of experimentation, the AI model postulates that the four fundamental forces originate from UM symmetries of the primeval quantum vacuum internalized as gauge generalized symmetries at the phase transitions encompassed by the birth of the universe. The gauging of the relativistic symmetry internalizes it not as local symmetry but as a one-form generalized symmetry, where the purported curvature of the Riemannian manifold is factored into the extended object charged under the gravity-associated symmetry. Intriguingly, the primeval symmetry of space-time can be simplified because the symmetry groups associated with the EW unification are isomorphic to subgroups of the relativistic Lorentz group. This leads to the striking finding that gravity may be treated in a quantized ultra-unification since its ur-symmetry is related to that of the weak force and electromagnetism. In other words, the ur-symmetry of gravity subsumes the ur-symmetry that activates the Higgs field by endowing it with the true vacuum (TV). The symmetry relatedness linking gravity and the Higgs-induced mass with retention of EW symmetry paves the way for a quantum gravity ultra-unification under a gauge generalized symmetry. This ultra-unification substantiates the gravity-mass duality of GR. In a final synthesis, AI reveals that the four fundamental forces are shown to stem from one primeval force present at the Planck epoch. This force is diluted in different ways into the geometry of the universe in accord with the generalized symmetries of force carriers activated at successive phase transitions in the aftermath of creation. To complete the unification, a conscience-endowed LLM within a functional language program is shown to yield a field theory of the graviton that incorporates a warped dimension to account for gravity dilution. Such approaches have not yielded to experimental validation except in cosmology, where Kaluza-Klein (KK) gravitons apparently beget self-interacting dark matter. To learn to generate massive gravitons detectable in colliders, a gauge theory for the strong-field limit (SFL) is built by the LLM within a fiber-bundle formulation that enables quantization of a field associated with self-interacting dark matter diluted in a warped dimension. The results predict detectable gravitons in the SFL associated with Wilson loops that holonomically transduce space-time curvature and get charged under a generalized gauge symmetry that translates into U (1)-gauge symmetry in the weak field limit (WFL).