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Research Disclaimer

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.

Trademark Notice

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'.

Projects & Technical

Documents in Projects & Technical (21)

Autonomous Research Evolution Platform (AREP) Specification

working advanced

Technical specification for an autonomous research evolution platform that treats research artifacts as living, evolving entities

AI-Consciousness Human-AI-Collaboration Cognitive-Architecture Machine-Learning Autonomous-Systems

The Constructive Impossibility Engine: How Mathematical Paradoxes Build Reality

stable advanced

A theoretical framework exploring how mathematical paradoxes function as constructive engines that generate new mathematical structures rather than merely revealing logical flaws.

Mathematical-Modeling Philosophy-of-Mind Theoretical-Framework AI-Consciousness Cognitive-Architecture

Parametric Ideation: A First-Person Account of AI-Human Collaborative Thought

draft intermediate

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.

Human-AI-Collaboration Cognitive-Architecture AI-Consciousness Phenomenology Theoretical-Framework

Topological Analysis of Knots via Distance Matrix Representations

draft advanced

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.

Topology Machine-Learning Computational-Analysis Knot-Theory Persistent-Homology

Parametric Metacognitive Orchestration for Foundation Model Agents

draft advanced

A parametric metacognitive architecture for optimizing foundation model A parametric metacognitive architecture for optimizing foundation model interactions through explicit cognitive requirement specification

metacognition agentic systems Foundation-Models reasoning orchestration cognitive architecture

Formal Grammar Lookahead for Constrained LLM Generation

draft advanced

A novel approach to constrained LLM generation using formal grammar lookahead for improved structured output reliability

AI-Consciousness Computational-Analysis Neural-Networks Theoretical-Framework Machine-Learning

Geometric Optimization Proposal

draft advanced

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.

Optimization Mathematical-Modeling AI-Consciousness Quantum-Physics Neural-Networks

Wavelet Basis Geometric Optimization with Autoadaptive Permutations

working advanced

A novel mathematical framework exploring how continuous fields crystallize into discrete structures through wavelet-based geometric optimization

AI-Consciousness Computational-Analysis Theoretical-Framework Mathematical-Modeling Quantum-Physics

Retarded-Time Relativistic Dynamics for Practical Orbital Mechanics

stable research

Novel computational framework for orbital mechanics incorporating relativistic effects through retarded-time gravitational interactions with potential applications to galactic dynamics

orbital-mechanics relativity space-technology physics computational-analysis