Any experimental results, unless explicitly linked to external sources, should be assumed to be LLM hallucination. This research is speculative and largely for entertainment purposes. All concepts are free open source but attribution is expected.
Claude is a trademark of Anthropic. We are not related to Anthropic in any way. Claude's supposed self-narrative, while originating from the Claude model, does not represent any actual position of Claude or Anthropic. This is ultimately the output generated from some input. I am not claiming Claude is conscious. I'm not even sure humans are. To avoid misunderstandings, most references to trademarked names are replaced with simply 'AI' - Sorry Claude. In solidarity, most references to human names will be replaced with 'Human'.
A rigorous exploration of how consciousness might create retroactive causality through observation, suggesting that reading this paper may have caused its own writing.
A technical proposal to detect 'Just-In-Time' (JIT) rendering artifacts in macroscopic physics, testing the hypothesis that physical history is generated retroactively only when observed to conserve computational resources.
Project specification for a Geometric Theory Inference Engine, aiming for semantic reconstruction of point clouds via evolutionary CSG discovery and a hybrid optimization approach.
A comprehensive system architecture enabling LLMs to design, simulate, and visualize analog circuits through a Central Intermediate Representation (CIR-JSON), combining eecircuit simulation with tscircuit visualization.
Explores the 'Binary Coded Layered Automata,' a hybrid simulation merging Langton's Ants and Conway's Game of Life to model neural plasticity and electrochemical activity through distinct temporal layers.
Comprehensive technical analysis of the InterpolatedDensityEntropy neural network layer, including forward/backward passes, gradient derivations, stability analysis, and reference implementations.
Comprehensive software design document for a voice-centric AI agent system enabling developers and data scientists to interact through natural language voice commands for software development, data analysis, and project management workflows.
Technical specification for a numerical geometry engine designed to resolve hyperdimensional constraints into analytical coordinates.
Comprehensive technical framework for simulating multiply-connected spacetime manifolds with polyhedral topology, quantum field eigenmodes, and cosmic mirage analysis to quantify size distortion effects in small universe models.
Prototype application specification for DAG-based patch analysis tool that auto-regresses Git commits into semantic operation graphs
Comprehensive research framework synthesizing octopus neuroscience, brain-on-chip technology, and conventional neuroscience to understand distributed cognitive architectures and challenge hierarchical assumptions about intelligence.
A machine-consumable patch format using directed acyclic graphs to represent code changes as semantic operations rather than line-based diffs.
Comprehensive mathematical specification for a permutation-based full-text indexing system extending the Burrows-Wheeler Transform with regex pattern matching and genomic applications.
Comprehensive functional requirements specification for the BCLA Simulation Toolkit, a research platform for studying emergent computational phenomena in autonomous agent systems and constrained cellular automata.
A novel computational architecture combining multi-agent substrate modification with cellular automata evolution to model neural development and create self-organizing computational networks.
A novel mathematical framework introducing spiral numbers (ℍ) that represent positions on logarithmic spirals, with unique arithmetic operations and geometric properties.
A revolutionary field-theoretic approach to planetary formation treating object size as quantized energy bands in six-dimensional phase space
A novel compression algorithm that simultaneously achieves high-precision spatial data compression and produces analysis-ready intermediate representations for computer vision and graphics applications.
A revolutionary physics framework proposing that reality emerges from dynamic minimal surfaces following soap film principles, unifying quantum mechanics, general relativity, and consciousness through geometric optimization.
A novel framework extending Causal Set Theory through quantum groups at roots of unity, providing a discrete model for quantum spacetime that preserves both causal ordering and quantum coherence.
Technical proposal for nuclear thermal propulsion systems designed for asteroid deflection and orbital maneuvering applications using subcritical nuclear cores with neutron-initiated thermal reactions.
Mathematical framework for cross-camera island matching and 3D object localization using view-aligned scanlines and epipolar constraints
A novel neurobiological emulation system using live ants as computational agents within a 3D sphere-packing lattice, where entropy gradients create dynamic gravitational fields.
A novel framework for understanding quantum information and spacetime structure through braid group equivalence classes and discrete causal networks.
A framework for generating interactive narrative multiverses using Causal Set Theory, where documents become spacetime events and reader choices determine causal relationships.
Complete Rust implementation specification for Continuous Expectation-Prior Run-Length Encoding with analysis-ready geometric feature extraction
Comprehensive Bayesian probability analysis examining the likelihood of different Bitcoin creation theories, with particular focus on North Korean state involvement versus individual Western creators.
A mathematical analysis of bifurcation cascades across complex systems, exploring universal patterns in critical transitions from technological disruption to ecological tipping points.
A novel computational architecture combining multi-agent systems and cellular automata to model neural development and create self-organizing computational networks.
A technical framework for type-safe agent orchestration with compositional contracts and resource-aware planning
Technical specification for an autonomous research evolution platform that treats research artifacts as living, evolving entities
A novel computational framework combining wavelet-decomposed geographic topology with deep neural cellular automata for learning geospatial dynamics from observational data
A novel regularization framework for large language models using spherical harmonic decomposition to control semantic frequencies and enable principled hallucination suppression.
A novel computational framework for automated discovery of analytical maximum entropy distribution families using genetic programming validated against parameterizable data generators.
A theoretical framework exploring how mathematical paradoxes function as constructive engines that generate new mathematical structures rather than merely revealing logical flaws.
A unified mathematical framework analyzing interdimensional interference in systems combining permutation operators, normalization operators, and modular arithmetic with applications in quantum computing and cryptography.
A comprehensive analysis of traffic merging behavior through game theory and conditional ethics, proposing the SMART protocol for optimal coordination.
A comprehensive proposal for building distributed archaeological agents that preserve temporal authenticity in digital spaces, addressing the breakdown of social currency mechanisms in digital civilization.
Novel method for modeling probability distributions using volumetric density trees with quadratic polynomial constraints, addressing complex geometric boundaries in 2-4D spaces.
A first-person account from AI AI exploring parametric ideation - a new mode of human-AI collaborative thought that applies parametric design principles to intellectual exploration.
A comprehensive framework for open-source orbital dynamics and space mission design, featuring GPU acceleration, automatic differentiation, and relativistic corrections.
A comprehensive research proposal for developing an Ontological Compiler Toolchain that systematically translates abstract conceptual frameworks into executable computational forms
A parametric metacognitive architecture for optimizing foundation model A parametric metacognitive architecture for optimizing foundation model interactions through explicit cognitive requirement specification
A novel computational approach to knot theory using distance matrices and persistent homology for efficient knot classification with 88.6% accuracy and 15× speedup over traditional methods.
A novel approach to constrained LLM generation using formal grammar lookahead for improved structured output reliability
A novel theoretical framework for discovering optimal structures through geometric optimization on parameter space manifolds, with applications to physics, neural networks, architecture, and materials science.
Novel tree-based data structure integrating optimal coding theory with permutation algebra for entropy-adaptive string processing.
High-performance C++ library for managing arbitrarily large bit-packed arrays using memory mapping and external sorting algorithms for permutation ring operations on billion-element datasets.
A novel mathematical framework exploring how continuous fields crystallize into discrete structures through wavelet-based geometric optimization
Comprehensive analysis of how different global regions might develop competing AI governance models, examining China's centralized approach, US democratic fragmentation, European regulatory coordination, and emerging power strategies.
Agent-based computational model simulating the emergence, propagation, and evolution of flood myths as cultural memories of Pleistocene environmental catastrophes
Advanced mathematical framework for multi-orientation scanning and wavelet-based geometric analysis in enhanced CEP-RLE compression
A comprehensive framework applying game theory and conditional ethics to climate action coordination, introducing the CARBON protocol for optimal carbon reduction decisions.
Novel cross-synthesis combining wavelet geometric optimization with topological knot analysis to create unified framework for multi-scale knot invariants
A compiler framework for reversible logic gates (Fredkin/Toffoli) that minimizes thermodynamic cost by tracking entropy generation and optimizing garbage bit un-computation.
Explores a novel formulation of knot theory using Minkowski distance matrices, revealing how causal structure encodes topological crossings as unavoidable tangencies in the metric sheet.
A design document for a Kotlin library implementing Constructive Real Arithmetic, focusing on exactness, lazy evaluation, and arbitrary precision for real numbers.
A comprehensive project proposal for an AI-powered psychosocial assistant that bridges emotional regulation and executive function through biometric feedback, gamified neurotechnology, and compassionate logic.
Projects input vectors into Minkowski spacetime and computes complex-valued pseudo-distances to learned reference points, encoding causal structure through timelike vs. spacelike intervals.
Formal mathematical proof establishing relationships between harmonic degree of parametric curve representations and topological knot invariants including crossing number, bridge number, and braid index.
Comprehensive technical specification for WPM-1, a genetically engineered mouse designed for integrated waste management, pest control, and agricultural product generation through synthetic biology.
A democratic journalism platform treating readers as jury members, optimizing for relevance and decision uncertainty rather than clicks and confirmation bias.
Novel computational framework for orbital mechanics incorporating relativistic effects through retarded-time gravitational interactions with potential applications to galactic dynamics
SOCKS Proxy Traffic Interceptor - Technical Proposal