INDEPENDENT RESEARCH & EXPERIMENTAL ENGINEERING
Exploring the physical and mathematical foundations of intelligence—and the complex systems through which it emerges.
01 / THE STARTING POINT
Are our current machines using the right physical and mathematical foundations for intelligence?
This question gives the lab its direction. We examine observations, develop explanations, and make unusual ideas precise enough to investigate through mathematics, computational experiments, and working prototypes.
The story behind the lab02 / RESEARCH DIRECTIONS
Six directions. One habit: follow an observation until it becomes a question we can examine.
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.
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.
03 / A CENTER OF GRAVITY
CORE PROGRAM
Investigate how physical substrates, energy, memory, and mathematical representation shape what machines can do.
ADJACENT PROGRAM
Explore how interactions produce collective behavior, and where uncertainty limits our ability to anticipate it.
OPEN NOTEBOOK
A wider space for frontier physics, consciousness, cryptographic limits, and philosophical inquiry.
Explore the open questions04 / HOW WE INVESTIGATE
Begin with a phenomenon, a discrepancy, or a pattern that deserves a closer look.
Compare observations. Look for relationships, exceptions, and competing interpretations.
Develop more than one plausible explanation and identify what each assumes.
Use mathematics or a computational model to make the idea precise and derive its consequences.
Use measurements, simulations, or prototypes. Compare with a baseline and look for evidence against the proposal.
Refine or abandon the model. Document assumptions, results, limitations, and the next question.
OPEN TO COLLABORATION
Observations, challenges, and ideas worth pursuing.
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