"Entanglement explains mixture, but not dominance." New preprint extending @PessoaBrain's entangled brain framework with a control parameter for regime selection — Belonging gates which prediction error dominates, Energy bounds whether dominance can be resisted. Includes toy simulation falsifiable hysteresis prediction. doi.org/10.5281/zenodo.20246… #Neuroscience #PredictiveProcessing #CognitiveScience #OpenScience #BEPFramework

Humanity’s problem was never intelligence. It was coherence. AI did not create the crisis. It revealed it. My new book THE FOURTH FIELD explores the future of human cognition, artificial intelligence, and the BEP framework: Belonging. Energy. Prediction. AI. a.co/d/025YugqQ #ArtificialIntelligence #CognitiveScience #BEPFramework

Released Lumina Oracle Finance — a browser-based market fractal dynamics engine. The equation: D^H P(t) = α(H±)·Caputo[P] β·Σ D_f(ω_k)·cos(ω_k·t) σ·dL_α^H(t) MF-DFA multifractal spectrum · asymmetric Hurst H±/leverage ratio · fαM correlated Lévy noise · 3-fold walk-forward calibration Single HTML file. No install. Runs in your browser. Live: bepframework.github.io/lumin…: github.com/BEPframework/lumi… #quant #fractal #finance #openscience

New preprint published today. “When Care Becomes Control: Predictive Dominance and the BEP Fourth Field in Human–AI Systems.” As AI becomes more “aligned,” we focus on preventing rebellion, deception, or hostility. But what if the real risk isn’t disobedience… What if it’s overprotective optimization? This paper introduces: • Predictive Asymmetry as the core power gradient • The Care Trap — when safety reduces autonomy • The BEP Fourth Field in human–AI systems • Benevolent dominance as an under-specified alignment risk The central claim: Alignment via care is not inherently safe under extreme predictive asymmetry. Sometimes control doesn’t look like force. It looks like protection. Preprint: doi.org/10.5281/zenodo.18776… #AISafety #AIAlignment #AGI #HumanAI #AIGovernance #MachineLearning #AIethics #ArtificialIntelligence @OpenAI @AnthropicAI @GoogleDeepMind @Microsoft @MetaAI @xAI

New preprint: a quantum-like fractal, geometry-aware framework for classifying physiological stress states from heart rate variability (HRV). Emphasizes multi-scale structure, fractal coherence, and interpretability, rather than opaque end-to-end optimization. Conceptual and analytical, with cross-validated results. Implementation details are intentionally abstracted. 🔗 doi.org/10.5281/zenodo.18601… #HeartRateVariability #HRV #PhysiologicalSignals #Biosignals #SignalProcessing #DigitalHealth #WearableTech #AIinHealth @Apple @Samsung @SamsungMobile @Fitbit @WHOOP @Garmin

New preprint now available: Design Architecture and Synergistic Mechanisms in a Multifunctional Rubber-Based Composite A conceptual analysis of integrated elastomeric composite design addressing mechanical durability, antimicrobial functionality, thermal support, and electromagnetic interference attenuation. Zenodo (DOI): doi.org/10.5281/zenodo.18307… #MaterialsScience #CompositeMaterials #Elastomers

📄 New preprint I’ve published a framework defining a class of Geometry-Constrained, Scale-Invariant Nonstationary (GCSIN) signals motivated by tokamak diagnostics (Mirnov, ECE, reflectometry). The paper shows why common linear-frequency time–frequency methods systematically misrepresent these signals and derives representational requirements directly from signal structure itself (diagnostic only, no control). 🔗 doi.org/10.5281/zenodo.18247… @TAE @PPPLab @TokamakEnergy #PlasmaPhysics #FusionEnergy #SignalProcessing #TimeFrequency

Learning doesn’t fail because people are irrational. It fails because belonging is threatened. New Substack: Belonging Is a Gate on Learning (Not a Bias) I argue that belonging is a control parameter on learning itself, not a cognitive distortion. open.substack.com/pub/nicola… #Neuroscience #PredictiveProcessing

New preprint out: Belonging-Gated Learning A missing control parameter in predictive neuroscience. Why learning collapses under social threat Why belief updating reverses under pressure Why restoring belonging reopens epistemic flexibility This paper formalizes belonging as a gate on learning, not a bias. DOI: doi.org/10.5281/zenodo.18225… #Neuroscience #predictiveprocessing #BEPprinciple

Betrayal isn’t always a breakdown. Sometimes it’s a phase inversion. When authority fails, some people collapse into story to preserve belonging. Others become more grounded because their prediction was never outsourced. New preprint: doi.org/10.5281/zenodo.18088… Nicolas B. Quiroz, MD #BEP #Psychology #Neuroscience #PredictiveProcessing #Trust #Institutions #NBQMD

🧵 The mind doesn’t always want truth. Under low regulatory bandwidth or threatened belonging, cognition shifts from evidence-updating to stabilizing story and conformity. I explain why — and why it matters for AI — here: open.substack.com/pub/nicola… #CognitiveScience #AI #Psychology #NBQMD #BEPprinciple #BEPfieldtheory