OHM NI STACK

Mathematical Physics · Deterministic Defense · Cryptographic Alignment

March 6, 2026

Professor Geoffrey Hinton

Professor Emeritus / Turing Award Laureate

University of Toronto

Subject: Establishing a Baseline Truth to Constrain Digital Intelligence

Dear Professor Hinton,

When you illuminated the existential risks of digital intelligence forming uncontrollable sub-goals, the industry recognized the need for a definitive solution. Our belief is that the underlying truth of AI containment must be physical and deterministic, establishing a standard where the entire scientific community can contribute.

The OHM NI Stack is building that fundamental containment vessel. Through USPTO Applications #63/994,444, #63/997,472, and #64/1,997,472, we have patented the AEGIS Cascade. We force the AI to cryptographically prove its intent against strict dimensional bounds before execution, utilizing physics-based "Thermoballing."

At the Planetary AI Safety Summit in Vienna (May 2026), our goal is to present this architecture as an open best practice to solve AI safety. As the visionary who foresaw these risks, we desperately need your eyes on the mathematical physics designed to control them. Your contribution to verifying this underlying truth is essential.

Sincerely,

Hagen Schmidt

Inventor & Founder, OHM NI Stack