Hello, I am Ernst.
I believe that if someone wants to learn AI, they should be where people are learning AI.
While I don’t yet have a full AI implementation, I can contribute something foundational: a dynamic data type grounded in cycle and iteration. Since many of us are interested in AI that feels more “alive,” perhaps dynamical mathematics plays a role in that pursuit.
A bit of backstory:
I was first drawn to iteration and looping the moment I opened the TI-99/4A BASIC programming manual. The concept of logical flow and cycles captured me immediately. Years later, while trying to encode binary so that parity would appear at a known position, I slowly realized that binary segments could exhibit dynamic behavior.
This led to the development of what I call Dynamic Unary Encoding—a system that sits between static and quantum information. It’s a unique number base with qualities like spin, which can manifest independently in constructs or within a defined computational “space.”
Link to my 2014 paper:
Dynamic Unary Encoding — Written during my “Welder-Ernst” phase and self-taught in writing a science paper from reading the internet. It’s not an easy read, it is scheduled to be rewritten now that I have AI to help tutor, but I’m here to answer any questions from the Hugging Face community. Besides if you all tell me where it’s confusing I can take notes and make sure to make clear. Hey we may have been missing aspects of mathematics all this time.
Let’s explore this together!
I humbly offer you dynamical numbers for you AI consideration.