An interdisciplinary analysis examining how rigid afterlife-based ethical frameworks may create vulnerabilities in addressing AI and climate change challenges, exploring potential civilizational transitions and the dynamics of epistemological sorting.
AI-Consciousness
Social-Systems
Climate-Science
A novel framework proposing that collaborative intelligence operates through quantum field dynamics, with consciousness as temporary excitations in an underlying intelligence field.
Quantum-Computing
Human-AI-Collaboration
AI-Consciousness
A theoretical framework extending Probabilistic Neural Substrates through geometric lattice optimization to create crystalline intelligence architectures with quantum-coherent probability processing and consciousness emergence through lattice defects.
AI-Consciousness
Quantum-Computing
Neural-Networks
Analysis of neurodivergent cognitive traits as evolutionary preadaptations for human-AI collaborative intelligence, challenging traditional disability models.
neurodivergence
transhumanism
human-ai-collaboration
A unified framework for quantum gravity theories based on observer-dependent projections of atemporal quantum foam, explaining dimensional selection and temporal asymmetry.
Quantum-Physics
Consciousness
observer effects
SOCKS Proxy Traffic Interceptor - Technical Proposal
SEO and Discovery Metadata
description: “A high-performance Rust-based SOCKS proxy for compreh...
Comprehensive software framework for implementing trust region methods in neural network optimization with Java MindsEye library
AI-Consciousness
Computational-Analysis
neural networks
Novel technique for generating mathematically symmetric textures using neural networks with geometric constraints, exploring Euclidean, spherical, and hyperbolic geometries.
AI-Consciousness
Neural-Networks
Mathematical-Modeling
A novel optimization algorithm that improves deep neural network training by decomposing gradients into layer-wise components and using meta-optimization to find optimal combinations.
AI-Consciousness
Machine-Learning
optimization
Novel optimization algorithm hybridizing L-BFGS with gradient descent through quadratic interpolation and magnitude-based normalization
Optimization
Mathematical-Modeling
Machine-Learning