Language, Semantic Hypergraphs, and the Exploration of Information
Exploration of how reality is fundamentally information, and how semantic hypergraphs are used as lossy compression.
Co-founder of Bee Sumbodi, to solve the problem of human memory. Essayist and 2x ex-founder of security-focused marketplace and real-time AI prevention startups.
Language, Semantic Hypergraphs, and the Exploration of Information — a recent essay I've written.
Core philosophical positions that shape my worldview and research.
I've written essays and published papers discussing artificial intelligence and the nature of reality. There are also other related essays on topics that I have interest in, such as understanding human rationality, psychology, and examining belief systems. Some essays are very short, and they serve as the foundation for other (or snippets), more detailed writings. Note— Many are currently in draft/archive and are being refined.
Exploration of how reality is fundamentally information, and how semantic hypergraphs are used as lossy compression.
A new project aiming to solve the problem of human memory.
What's more real, your arm or a dream? Is our definition of "real" flawed?
Examining the logical impossibilities in traditional concepts of an omnipotent deity, and whether there is such thing as absolute truth.
Exploring how structured "nothing" gives rise to what we perceive as "something" and the philosophical implications of this physical understanding.
Examining how legal progress often fails to match cultural evolution, as internalised beliefs and collective biases persist despite institutional changes.
A short exploration of what artificial intelligence really means, why the definition is elusive, and why AI is a gradient, not a binary concept.
Is morality objective, subjective, or can it be both? Exploring how we anthropomorphise uncertainty to find moral grounding within human systems.
Dismantling the false claims that "anything is possible" and "nothing is impossible" through framework-relative constraints and logical necessity.
Challenging the assumption that thought requires sensory capability, arguing that axiomatic reasoning forms the bedrock of cognition independent of perception.
Examining whether mathematics is merely a tool for describing reality or if it constitutes the fundamental structure of reality itself.
Exploring how technological advancement and philosophical understanding will reshape human existence and consciousness in the coming century.
Investigating whether absolute certainty is achievable or desirable, and exploring the potential benefits of embracing uncertainty and irrationality.
Examining the tension between practical decision-making and theoretical uncertainty in both scientific and theological contexts.
Analyzing how human-centered thinking limits our understanding and development of artificial intelligence and robotic systems.
Arguing for critical thinking as a fundamental educational discipline that should be systematically taught alongside traditional core subjects.
Exploring the limits of conscious control over neural processes and the implications for self-improvement and cognitive enhancement.
Investigating how complex systems develop emergent properties and abstract concepts without explicit programming or design.
Examining the philosophical challenges of subjective experience and the difficulty of communicating personal consciousness to others.
Arguing that qualia and the hard problem of consciousness stem from anthropocentric biases rather than fundamental mysteries.
Exploring strategies for navigating an uncertain world and the psychological and philosophical implications of embracing uncertainty.
Analyzing human attention-seeking behavior and its impact on society, relationships, and personal development.
Making the case for reading as a fundamental skill for intellectual development and understanding the world.
Examining the anthropic principle and why the universe appears fine-tuned for life through a statistical lens rather than design.
Technical writings/lectures on artificial intelligence.
An exploration of linear algebra as both a mathematical language and a philosophical framework for understanding transformations, spaces, and relationships.
A comprehensive exploration of multi-agent reinforcement learning, covering foundations, game theory, and advanced RL algorithms.