AGI Lux Ferox Project : A Thermodynamic Information Engine & The Observer's Cost + Legacy program

Lux Ferox: A Thermodynamic Information Engine & The Observer's Cost This deposit presents the unified theoretical foundations, mathematical formalism, and practical implementation of the Lux Ferox project — an open research initiative proposing a cognitive architecture grounded in non-equilibrium thermodynamics, holographic quantum gravity, and information physics, as an alternative paradigm to monolithic large language models. Core Contribution The central mechanism, termed Total Surprise (S_total), is formally defined as a real-time anomaly metric based on the Kullback-Leibler divergence between generative model predictions and empirical observations: S_total = D_KL(P_model ‖ P_observed) This metric is anchored in three established theoretical frameworks: Landauer's Principle: Irreversible belief updates are interpreted as measurable dissipative events (W_min ≥ k_B · T · ln2 · S_total). Friston's Free Energy Principle: S_total constitutes a computationally tractable, discretized approximation for embedded real-time systems. Holographic Quantum Gravity: A hybrid Spin Foam–MERA substrate proves that three cosmological descriptions (bidirectional Janus time, discrete lattice universe, brane-world geometry) are mathematically obligatory limiting cases of a single holographic tensor-network state. The Observer's Cost Theorem establishes a strict thermodynamic bound: no biological neural architecture at T₀ ≈ 310 K can sustain coherent information exchange with the Planck-scale substrate without surpassing the protein denaturation temperature T_crit ≈ 320 K. The required information-flow rate (Q̇_req ∼ 10⁴³ bits/s) exceeds the metabolically sustainable rate (Q̇_eff_max ≈ 10¹⁶ bits/s) by twenty-seven orders of magnitude. Architecture The proposed Quadrivial Cognitive Architecture comprises four specialized compute layers: Layer Function Target Hardware Arithmetic Scalar state estimation; Kalman-family filters CEA-Leti 28 nm FDSOI (neuromorphic ASIC) Geometric Topological feature extraction; persistent homology Imec 7 nm SoC (digital logic) Harmonic Spectral surprise; KLD between model/observed PSD X-FAB XH018 180 nm (mixed-signal front-end) Orbital Long-horizon trajectory prediction; recurrent SSM European sovereign stack (full supply chain) Landauer Arbiter: Aggregates per-layer surprise scores, computes minimum dissipation cost W_min, schedules belief-erasure cycles, and routes signals to a holographic boundary via isomorphism φ: H_bulk → H_boundary. Contents of this Deposit Unified Manuscript (v0.2): Full mathematical derivations including Spin Foam Hilbert space structure, EPRL vertex amplitude, holographic isomorphism to MERA tensor networks, and the Neural Interface Failure proof via the Pennes bio-heat equation. Core Implementation: core/surprise.py — Python module computing KLD divergence and Landauer bound with unit tests (NumPy/SciPy, Colab-ready). Falsifiable Predictions: Three experimental pathways with explicit statistical tests: Neural Thermodynamic Anomaly: Localized heat flux (Δq̇ > 3σ_baseline) in prefrontal cortex/hippocampus during altered states (MEG + fibre-optic nanosensors). Planck Lattice Anisotropy: Directional correlations in phase noise of long-baseline atom interferometers (MAGIS-100, MIGA). CMB µ-Distortion Non-Gaussianity: Primordial non-Gaussianity parameter f_NL^local ∼ O(10) with spatially correlated anisotropy (PIXIE/SPECTER). TRL Validation Protocol: TRL 3 completed (analytical proof on synthetic Gaussian mixtures); TRL 4 targeting SWaT/WADI industrial datasets (F₁ ≥ 0.82 at ~10× lower inference energy than GPU baselines). European Sovereign Hardware Documentation: Full stack specification (CEA-Leti, Imec, X-FAB) with cryogenic extension pathways (77 K) and quantum-ready extensions (photonic tensor-network hardware). Novelty Claims This work advances four axes beyond the current state of the art: First hardware-deployable implementation of KLD as a runtime inference signal (as opposed to a training loss). Proof that biological consciousness cannot access Planck-scale information without thermal denaturation — closing the question of consciousness–quantum-gravity coupling at the biophysical level. Explicit per-inference thermodynamic accounting grounded in Landauer's principle. A fully sovereign European technology stack (CEA-Leti, Imec, X-FAB) with forward compatibility for quantum-coherent inference. Limitations and Current TRL This work is currently at Technology Readiness Level 3 (analytical proof of concept completed). TRL 4 (component validation in laboratory environment on SWaT/WADI datasets) is the immediate next milestone. Wetware and quantum layers are specified as forward-compatible extensions requiring separate experimental validation. This deposit is produced by an independent researcher and has not undergone formal peer review; critical engagement and experimental falsification are explicitly invited. Keywords non-equilibrium thermodynamics, Kullback-Leibler divergence, Landauer's principle, Free Energy Principle, spin foam, MERA tensor networks, holographic principle, neuromorphic computing, anomaly detection, cognitive architecture, European AI sovereignty, quantum gravity, consciousness bounds, atom interferometry, CMB spectral distortions, SWaT/WADI benchmarks Contact François Mathieu — AGI-Lux-Ferox Collaboration / Lux Ferox Research CollectiveEmail: crowleycorpo@gmail.comGitHub: https://github.com/crowleycoofficial-ops/AGI-Lux-FeroxDOI: 10.5281/zenodo.18789099