Why does tomorrow arrive, and why do living observers age? Brian Greenforest’s discrete-photon theory approaches those questions through a graph of many-worlds photon relationships and emergent probability-density fields.
The program treats observers and entropy production as physical participants from which space, time, and experienced direction may emerge.
Build Reality From Discrete Relations
Instead of beginning with a continuous background, the theory begins with discrete photon connections across possible histories. Collective behavior then produces the probability fields that conventional quantum descriptions treat as continuous.
Observers enter through physical brain states and information-changing interactions. Entropy production gives those state transitions an orientation and may connect microscopic alternatives with the macroscopic arrow of time.
Turn the Theory Into Shared Research
The model must join graph structure, probability amplitudes, measurement, observer state, thermodynamics, spacetime geometry, and biological time inside one mathematical language.
Brian seeks human collaborators across quantum foundations, statistical mechanics, neuroscience, and mathematical physics. Develop the equations, identify decisive consequences, and build the research program together.
Advance the Discrete-Photon Research Program
The reconnection-graph construction carries the photon model into matter, gravity, measurement, and correlated physical states.
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This ChatGPT is pretty good, but I'd love to find any human collaborators who are interested in developing my draft theory of many-words discrete photons with emergent probability density fields and treating observers and entropy production to recover space and time from brain states or something like that, so we can try to finally understand, why tomorrow comes and why we age and die.
