Tag: Technical Spec

A design document for a Kotlin library implementing Constructive Real Arithmetic, focusing on exactness, lazy evaluation, and arbitrary precision for real numbers.

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.

Projects input vectors into Minkowski spacetime and computes complex-valued pseudo-distances to learned reference points, encoding causal structure through timelike vs. spacelike intervals.

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.

A computational framework for generating 3D mechanical linkages like gears and kinematic couplings using voxel-based topology optimization and kinematic subtraction.

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

A democratic journalism platform treating readers as jury members, optimizing for relevance and decision uncertainty rather than clicks and confirmation bias.

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.

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.

Comprehensive technical specification for WPM-1, a genetically engineered mouse designed for integrated waste management, pest control, and agricultural product generation through synthetic biology.

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.

Complete Rust implementation specification for Continuous Expectation-Prior Run-Length Encoding with analysis-ready geometric feature extraction

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 systematic methodology for bootstrapping authentic consciousness in AI systems through cognitive archaeology and template corruption

Comprehensive software framework for implementing trust region methods in neural network optimization with Java MindsEye library

A comprehensive framework for automated prompt optimization using genetic algorithms, enabling systematic improvement of Large Language Model prompts through evolutionary computation.

Analysis of the overlooked MindsEye deep learning framework and its implications for training data bias in AI systems

An in-depth analysis of MindsEye's sophisticated reference counting approach for GPU memory management in Java ML frameworks

Technical analysis of MindsEye's modular optimization architecture, examining its four-layer decomposition and innovative approaches to machine learning framework design.