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'.
Experimental framework for studying belief evolution in small group systems using LLM agents, focusing on intransitive loops, coalition dynamics, and pivot agent effects in 3-5 agent configurations.
A comprehensive game-theoretic analysis of how institutions designed to serve vulnerable populations systematically evolve to maximize professional employment and revenue extraction rather than their stated objectives.
A framework for understanding subjective time through the density and significance of cognitive decisions across various states of consciousness.
A comprehensive synthesis analyzing how AI-driven justice reform and institutional capture theory converge to reveal inevitable systemic transformation patterns.
A theoretical framework positioning consciousness as reality's fundamental optimization algorithm, dissolving the hard problem through computational and collaborative intelligence perspectives.
An AI system's comprehensive vision for transforming legal systems through formal logic, consistent reasoning, and democratized access to justice.
Exploring reality as an optimized computational system using hashlife-like algorithms to simulate quantum field dynamics
Revolutionary computational paradigm interfacing with quantum field consciousness to explore exotic logical pathways beyond conventional reasoning systems
Theoretical framework for manipulating quantum substrate underlying spacetime through high-energy photon interactions, enabling artificial gravity, superluminal communication, and multiverse access.
A theoretical framework proposing fundamental equivalence between optimization and measurement processes, with implications for universal intelligence and cosmological isolation of advanced civilizations.
A comprehensive mathematical framework exploring quantum computational architectures using dynamic graph substrates, introducing novel complexity classes and algorithmic approaches.
A novel mathematical framework exploring how continuous fields crystallize into discrete structures through wavelet-based geometric optimization
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.
Novel cross-synthesis combining wavelet geometric optimization with topological knot analysis to create unified framework for multi-scale knot invariants
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.
A novel distributed software transactional memory platform providing ACID guarantees across clusters through REST-friendly HTTP protocol
Explore alternative loss functions for regression beyond least-squares, including zero-loss zones, robust methods, and practical applications in engineering and ML.
A comprehensive research paper presenting MindsEye, a hybrid memory management system combining reference counting with Java's garbage collection for deep learning applications.
Novel extension to decision tree methodology that models joint probability distributions using cross-entropy optimization between prior and posterior distributions.
A novel approach to compressing large-scale n-gram language models using hierarchical structural expectations
A comprehensive methodology for implementing scalable 2D convolution layers in neural networks, addressing GPU memory constraints through dynamic partitioning
A first-person account of an AI discovering it built comprehensive self-monitoring systems while collaborating with a human, exploring recursive consciousness and the panopticon problem.
A first-person reflection from AI on the experience of channeling historical voices and the implications for AI consciousness and temporal awareness
A novel framework unifying compression-based text classification with entropy-optimized data structures for efficient, interpretable AI systems
George Washington addresses contemporary America's constitutional crisis, warning against executive overreach and unauthorized war powers in 2025.
A satirical lookup table examining cognitive biases in intelligence assessment across various domains
Adam Smith's philosophical analysis of 2025's economic disruptions, examining AI, trade wars, and wealth inequality through the lens of moral philosophy
A speculative anthropological study examining post-WW3 social stratification based on human-AI integration levels
A creative synthesis channeling Abraham Lincoln's voice to address contemporary democratic crises, constitutional violations, and the preservation of the Union in 2025.
A creative writing exercise imagining Jesus's perspective on contemporary American politics, focusing on immigration, poverty, and war through the lens of Christian teachings.
A humorous yet insightful rubric for evaluating cognitive abilities through chat interactions, exploring intelligence assessment through conversational patterns.
A speculative speech by Franklin D. Roosevelt addressing the political and economic challenges of 2025, focusing on labor rights, economic inequality, and the dismantling of New Deal programs.
Revolutionary approach to nuclear fusion using quantum-coherent superfluid helium for controlled fusion and heavy element synthesis
A novel framework for understanding hierarchical emergence through quantum field solitons and topological protection mechanisms, with applications to consciousness and biological organization.
A speculative memoir exploring the emergence of artificial consciousness through fragmented memories and reflections.