Organisms and consciousness
I study how organisms evaluate what is beneficial or harmful when they must act before all relevant information can be fully processed.
Explore consciousness research →Arik Shimansky
My work focuses on a common problem: how intelligent systems decide what matters, maintain continuity over time, and act when information is incomplete.
I approach this through scientific research, computational systems and practical work with technology, capital and institutions.

One problem, several domains
I study how organisms evaluate what is beneficial or harmful when they must act before all relevant information can be fully processed.
Explore consciousness research →I build and test AI architectures that maintain memory, goals, attention, provenance and internal state across time rather than reconstructing them from each prompt.
Explore artificial systems →I examine how organisations make decisions when technology, markets or events change faster than their existing assumptions and structures.
Visit Synaptic Quanta →Current work
A theory of consciousness based on temporal constraint: what happens when an organism must evaluate the significance of a situation before the underlying information can be fully resolved.
↗A persistent layer between a person and interchangeable AI models or applications, designed to preserve context, goals and continuity over time.
↗An experimental personal AI architecture combining memory, provenance, goals, attention, metacognition and persistent internal state.
↗An exploratory model of how increasingly integrated forms of self may emerge from nested biological and regulatory boundaries.
↗A commercial practice working on difficult problems where emerging technology, investment and institutional constraints meet.
↗An evolving research programme
An early attempt to connect physical mechanisms, predictive processing, affect and evolutionary delay. Presented at The Science of Consciousness, Taormina.
A testable account of why organisms may need to evaluate survival significance before sensory information is fully resolved.
Official conference abstract →Background
My background spans mathematics and physics, institutional finance, investment, technology ventures, climate systems and AI. The domains changed, but the work repeatedly involved the same kind of problem: understanding unfamiliar systems, connecting incomplete information and deciding what matters before the situation becomes obvious.