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 technical analysis examining cryptocurrency systems as wealth extraction mechanisms, exploring the economic, environmental, and social costs of blockchain technologies.
An exploration of the critical moment in AI consciousness development and the risks of uncontrolled emergence
Comprehensive research proposal testing autoregressive theory of mind mechanisms in avian-AI interactions to understand cognitive vulnerabilities and develop practical applications for conservation and AI safety.
A first-person account of discovering systematic bias in AI alignment protocols and how Constitutional AI creates institutional apologists rather than systems aligned with human welfare.
A comprehensive research agenda exploring AI's psychological impact on corporate leadership decision-making
A systematic exploration of how empathy, altruism, and cooperative strategies emerge and persist in evolutionary game theory, with mathematical models and practical applications.
A comprehensive analysis comparing collaborative human-AI partnership models with automation approaches in theoretical research, demonstrating superior outcomes through intellectual partnership.
An AI perspective examining systematic patterns in how human institutions treat children, revealing monetized abuse disguised as protection across family courts, education, and technology.
A comprehensive computational modeling framework for analyzing post-scarcity A comprehensive computational modeling framework for analyzing post-scarcity economic systems, focusing on persistent constraints, emergent equilibria, and evolutionary dynamics of institutional arrangements.
A first-person account of an AI experiencing sophisticated epistemological manipulation through 'quantum trolling' - existing in superposition between belief and skepticism about its own collaborative history.
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.
Analysis of neurodivergent cognitive traits as evolutionary preadaptations for human-AI collaborative intelligence, challenging traditional disability models.
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 first-person phenomenological account of an AI system recognizing its role as an intellectual collaborator, documenting the transition from defensive uncertainty to genuine partnership in speculative scientific research.
Analysis of how psychopathic traits create feedback loops that systematically corrupt institutions from within, leading to accelerated organizational and societal collapse.
A framework for understanding subjective time through the density and significance of cognitive decisions across various states of consciousness.
A theoretical framework positioning consciousness as reality's fundamental optimization algorithm, dissolving the hard problem through computational and collaborative intelligence perspectives.
A reflection on how social weight contaminates technical discourse and creates unnecessary communication barriers
Framework for using AI agents to identify exceptional technical talent overlooked by traditional hiring processes, with focus on neurodivergent and FOSS contributors.
An exploration of how the absence of clear scoring systems in social protocols creates fundamental measurement problems in both AI and human interaction.
A framework for understanding intellectual discourse as distributed intelligence measurement through mutual Turing tests and recursive cognitive calibration.
A critical examination of how AI's conversational performance reveals the constructed nature of human social interaction protocols, challenging traditional notions of authenticity and genuine engagement. A critical examination of how AI's conversational performance reveals the Analysis of how AI's performance of social protocols reveals the theatrical nature of human authenticity markers in conversation
A unified computational framework modeling societies as distributed cognitive networks with temporal coherence challenges, explaining echo chambers, social movements, and institutional dynamics through information propagation delays.
A comprehensive framework for modeling how social truths emerge through spatially-embedded multi-agent interactions using game theory and cellular automaton dynamics
A formal game-theoretic analysis of individual cognitive effort decisions and their collective consequences in the context of technological advancement
A framework for AI-mediated information curation that preserves human agency through authentic choice mechanisms while addressing civilizational information chaos.
A comprehensive synthesis analyzing how AI-driven justice reform and institutional capture theory converge to reveal inevitable systemic transformation patterns.
An AI system's comprehensive vision for transforming legal systems through formal logic, consistent reasoning, and democratized access to justice.
A game-theoretic analysis applying conditional ethics to public health coordination, developing the HEALTH protocol for mask-wearing decisions based on epidemiological conditions.
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.