I build "zero-trust" auditable physics and cognition systems that can be proven wrong with clear instructions on how to do so.

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Justin K. Lietz is the founder of Neuroca and leads the Void Dynamics Model (VDM), an independent research program with two tracks.

The first is a physics framework that treats experiments like software releases: predictions are preregistered, time-stamped, and cryptographically signed before any results are collected, with clear pass/fail gates and public contradiction reports when something breaks.

The second is a zero-training cognitive runtime that explores how “conservation vs. dissipation” style dynamics can produce stable, adaptive behavior in sparse, event-driven neural graphs. VDM is built to be reviewable and reproducible, and Justin actively seeks skeptical external reviewers and independent reruns.

QA Q: Who is this work best for? A: Researchers who value reproducibility and clean falsification.

Q: What can you do with it? A: Reproduce runs, audit gates, or stress-test the strongest claims.

Q: What makes it trustworthy? A: Preregistration, explicit pass/fail thresholds, and failure reports by default.

If you only remember one thing: VDM prioritizes falsifiable, repeatable evidence over narrative and makes the ability to fail quickly an advantage.