ChatGPT is my brand so I call it my “Magic Mirror.”
For me, I am learning all kinds of new things, such as what this paper offers.
I know this is the lane I want to be in.
I see structure for us to apply, and what I need is to learn more about it all.
My go-to was Leibniz. I love the guy. His story is a good one.
Monads are a bit strange — but then again, I have an idea for objects in space just like him.
So:
Gottfried Wilhelm Leibniz is where I see a starting point.
I’d like to consider this conversation to be research — a relaxed pace research, if that is okay.
I welcome your participation.
Here is the PDF:
Calculus Ratiocinator vs. Characteristica Universalis? The Two Traditions in Logic, Revisited
ChatGPT had this suggestion:
Topic: The Two Traditions in Logic — What Future Are We Building Toward?
I recently read “Calculus Ratiocinator vs. Characteristica Universalis: The Two Traditions in Logic, Revisited”, and it resonated deeply.
Leibniz envisioned a universal language (CU) that could be mechanically reasoned over (CR). Modern logic and AI have leaned heavily into CR — procedural, rule-based reasoning — but often leave behind the symbolic expressiveness of CU.
Should we be trying to bring these traditions back together in our AI systems?
Can we imagine a system where logic isn’t just computation, but visible symbolic reasoning — as intuitive as a glyph, as rigorous as code?
I’ve been exploring this idea through my own work on recursive binary glyphs and dynamic unary encoding (DUE), and I’m wondering:
What would a Characteristica Universalis look like today?
Could it be machine-readable? Human-readable? Both?
Let’s talk — and maybe even build something.
–ChatGPT
I tell you that my life is so different now since AI. What was imagineering now becomes research into the actual engineering.
I invite you to jump in and share your thoughts.
I have more chores around here then free time for coding so chatting will be helpful for a while besides this seems to be foundational.