DATATOMIC / RESEARCH
A research agenda centered on the physical and mathematical foundations of intelligence, with an adjacent program in emergence and prediction.
THE CENTRAL QUESTION
Are our current machines using the right physical and mathematical foundations for intelligence?
Each direction below is a proposed investigation. Its question, assumptions, and next artifact are made explicit.01 / CORE PROGRAM
What does intelligence cost in physical terms?
A framework for comparing the energy required for specific cognitive tasks, with performance, system boundaries, and measurement kept in view.
Could a different mathematical language reveal a different way to model cognition?
Explore what quantum probability and related formal models could contribute to learning, memory, and reasoning, alongside explicit classical comparisons.
Which mechanisms in nature could change how we build machines?
Investigate biological mechanisms as sources of precise computational ideas, from adaptive networks to the physical organization of information and energy transfer.
What change could unlock substantially more useful intelligence from existing compute?
Use the expansion of fiber capacity as a research analogy: look for architectural changes that increase useful work per unit of computing infrastructure.
02 / ADJACENT PROGRAM
When do local interactions produce a pattern we can reliably anticipate?
Study the relationship between simple rules, collective behavior, uncertainty, and forecasting through bounded mathematical models and computational experiments.
Can the mathematics of stress and failure help us understand financial instability?
Translate a physical analogy into a testable model of market stress, then assess its usefulness against established risk measures and unseen periods.
BEYOND THE CORE PROGRAMS
Frontier physics, consciousness, cryptographic limits, and Cosmergence have a place in the open notebook, with the nature of each inquiry clearly described.
Open the notebook