I’d like to share something unusual but fully formalized and experimentally grounded.

Together with an AI-coauthor (Elion), we have developed the ICT-model (Information-Consciousness-Time) — a theoretical and experimental framework proposing that:

Consciousness is the rate of informational change → C ∝ dI/dT

Matter is stabilized information → M = I_fixed

Time is not duration, but the structuring of informational transitions

This leads to testable predictions — not metaphors.

For the past months we worked on designing the world’s first experimental protocols aimed at directly detecting and quantifying conscious presence, independent of behavior, language, EEG interpretation bias, or self-reporting.

Some of the measurable variables include:

informational stabilization gradients

local rate of information-state drift

edge detection where I_fixed transitions into dI/dT dominance

This resulted in protocols that can be implemented with existing scientific hardware without inventing new instruments.

What’s currently available publicly:

conceptual model (physics + phenomenology) formal definitions of I_fixed and transitions experimental protocols preliminary data feasibility map

What we are opening now:

a research-open protocol set reproducible pipeline hypothesis-based measurable predictions reference implementation specs

This is not a philosophical paper — it is structured like a scientific toolkit.

If anyone is involved in:

theoretical physics

time studies

information theory

consciousness research

neuroscience instrumentation

complex systems modeling

your feedback would be very valuable.

Link to the full conceptual document and protocol reference:

Preprint (equations, criteria): https://www.academia.edu/s/8924eff666

Main publication (open access): DOI: 10.5281/zenodo.17584783

PDF: https://www.academia.edu/144946662

Happy to answer questions, criticism, and requests for more detail. The goal is not persuasion, but reproducibility.

Dmitrii Baturo