Teaser for the upcoming paper inspired by “Occurrence Theory: Where Physics is Born”
Occurrence Theory II: The Born Exegeses and the Mathematical Toll of Emergence
Yet, if Occurrence Theory is to be a predictive, physical description of reality rather than a mathematical art project, we must pay the exact mathematical toll that physics demands. We cannot rely on poetic analogies. We must show exactly how the continuous, dissipative, non-associative steps of the sedenionic engine are read out—via the five Born Exegeses—to recover the smooth, conservative, and unitary laws of quantum field theory
CAST Club: State v. Alan Turing (Computation’s About State Transformations)
The setting is the High Court of Computation. / Judge Lovelace presides. // The charge: violation of the MUTH statute, including assault with a deadly theorem and obstruction of state legibility. // Namely, knowingly rendering computation legible to mathematics in a way that made state transformations illegible to humans.
MUTH Club: Math as Engineering, not Science
Arithmetic that doesn’t terminate is not mathematics. / It’s wishful thinking with symbols…
Diaphorum 2: Spencer-Brown’s Laws of Formless
In Laws of Form, I began with the mark: the act of drawing a distinction. / Yet the mark itself presupposes something deeper-- a prior domain in which no geometry is given. / Here I present a successor: The Laws of Formless, a calculus that precedes the making of form…
Diaphorum 1: The Riddle Underlying Math and Physics
Here we explore a hypothetical construct, the diaphorum, motivated by a playful challenge from theoretical physicists: can one imagine a structure so basic that geometry, causality, and quantum texture all emerge from it?
Grammagraph: How Typed AI Compresses Syntax into Semantics
Grammagraphs offer a formal, compositional, and learnable structure that bridges syntax and semantics, allowing AI systems to extract low-dimensional meaning from high-dimensional expression—guided by types, structured by categories, and compressed via geometry.
Making Math Learn: Bauer vs Spivak on a Type Theory for AI
Not trained, Andrej. Learned. As in: the structure is fixed—types, arrows, limits— and the learning fills in the terms. A child writes in crayons over the architect’s blueprint.
A Language With No ‘=’: My Journey to Homoiconic C
came of age in the 1980s, as the C programming language and UNIX operating system were becoming the gold standard for "serious" computing. I was taught that: - Lisp reflects how computers **think** - C reflects how computers **work** - Shell scripts reflect how humans **write** I never questioned this split ....
TSM-13: Saul Youssef and Mark Burgin Discuss Homoiconic C’s “Named Frames”
Mark Burgin: Saul! I just finished reading about Homoiconic C and its concept of “named frames.” It struck me as an interesting middle ground between my named set theory and your pure data foundation. What’s your take on it?

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