AI, technology, education, and ideas about what comes next.
Nature shows no observable moral accounting system. This article explores how evolution, game theory and social necessity may explain morality—and why social usefulness alone cannot settle the question of justice.
Why intelligence cannot abolish the constraints of time, resources and physical reality.
What if information, mathematics, computation and physical reality are not separate things, but different aspects of a deeper process? Explore the possibility that the universe is an evolving computation—and the limits of what this idea can explain.
AI and scientific capability are scaling rapidly, but human progress depends on application, execution and deployment. Why water, energy and sufficiency must remain central to technological priorities.
From mathematical breakthroughs and intellectual entertainment to cancer cures, crop yields and measurable human progress.
Can recognizable patterns persist while their configurations change? EFNRT explores the possible connections among evolving information, geometry, structure, and chaos—starting with four books on complex systems.
AI’s early advantage may come from exploiting humanity’s accumulated knowledge. What happens when the frontier shifts to naked information, physical computation and new languages of thought?
Mathematics uses human-made symbols to reveal relationships that may exist independently of us. From invariant structures and physics to quantum interpretation, engineering and AI-assisted discovery, this essay asks what we invent—and what we discover.
A closer look at free will, causation, randomness, and the self-modifying systems that shape human decisions. Does free will exist—or is the question itself ill-defined?
Human imagination, scientific conjecture and AI hallucination all involve going beyond established knowledge—but novelty is not the same as error. Explore why discovery may require breaking familiar patterns, switching conceptual dimensions and testing possibilities rigorously.