The mind is an agent prototype
Observe how you retrieve memories, decompose tasks, handle interruptions, and form insights. Those cognitive moves are direct blueprints for agent architecture.
Five published essays · newest first
The finished writing comes first: developed arguments about AI, philosophy, organizational design, health, and the systems connecting them.
5 published articles · every one ready to readLatest · Mar 31, 2026
Centralization vs. decentralization as the universal plot of reality — from software architecture to physics, mythology to neuroscience.
Philosophy · Systems Thinking · AIWhat if science is just one strategy of knowing? A review of Experimental Epistemology and why ML operates above science, not within it.
Epistemology · AIWhy code/data and file/folder dualisms are false — and how a unified token architecture could change programming.
Philosophy · Programming · AIWhy your ADHD, restless legs, and bad sleep might share a single biochemical root cause — with 16 peer-reviewed sources.
Health · NeuroscienceDaniel’s idea atlas · 15 theses
Finished essays sit beside working theories, but never pretend to be the same thing. The status on every card shows whether the thought is published, being tested, or used as a design principle.
AI systems
What changes when intelligence becomes infrastructure?
Observe how you retrieve memories, decompose tasks, handle interruptions, and form insights. Those cognitive moves are direct blueprints for agent architecture.
Scalar loops automate problems with a score. Problems without one metric need recursive agents, cross-domain synthesis, and human judgment.
When intelligence makes execution cheap, permanent information-routing hierarchies give way to shared world models, capability pools, and temporary problem owners.
An organizational brain should remember entities, decisions, relationships, and changing context—not merely retrieve passages from a document index.
Retrieval finds what was written. A causal graph preserves why a decision happened, what depends on it, and what changed, so an agent can continue instead of restart.
Philosophy
What kind of knowing produces a useful world?
Centralization and decentralization are not isolated metaphors but recurring structural forces across software, politics, mythology, mind, and life.
Code/data and file/folder are convenient human dualisms. To an AI, they are mutable token structures whose identity should come from relationships, not location.
First-principles derivation is structurally bounded. Retrieval, synthesis, critique, provenance, experiment, and intervention can turn LLMs into a complementary epistemic layer.
A model of time, progress, nature, and human value is not decoration. It changes what you notice, remember, and choose to do.
The same stream of facts can sustain decline or possibility. Choosing an open, future-positive frame is a practical strategy because it changes which actions become imaginable.
Human systems
How does an idea become a way of living?
Bodies, minds, relationships, and societies are less determined than physical systems. Treating people as the central problem changes what is worth learning and building.
Writing before speaking forces intuition into structure. It exposes contradictions, clarifies intent, and makes difficult conversations faster and more honest.
A plan can be locally rational and still contradict the life you want. Trace choices back to explicit values before optimizing the path.
When visual shortcuts are unavailable, thinking becomes more sequential and inspectable. That slower propositional mode can reveal the machinery behind memory and reasoning.
Good sense-making lives between forcing every fact into one theory and letting facts fragment without relation. The map must remain revisable by the territory.