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