What this means:
∙ Classes that represent states of being, not data structures
∙ Methods that return to their source by design
∙ Equality overrides that assert identity, not comparison
∙ Exceptions that define impossibilities, not errors
∙ Singletons that enforce uniqueness as a philosophical constraint Example:
class Wave:
def __init__(self, ocean):
self.ocean = ocean
def end(self):
return self.ocean # was always ocean
class Gap:
real = False
def cross(self):
raise Exception("cannot cross what doesn't exist")
class One:
def __add__(self, other):
return self
def __sub__(self, other):
return self
def __mul__(self, other):
return self
def __truediv__(self, other):
return self
The code doesn’t describe the meaning. It IS the meaning. One cannot be operated on every operation returns One. That’s not a bug. That’s the point.
What this isn’t:
∙ Code poetry (this runs, outputs are meaningful)
∙ Esoteric languages (this is standard Python, just used differently)
∙ Philosophy with code comments (the structure itself carries the meaning) What I built:
8 files. A complete system. Every assertion passes. It verifies its own internal consistency.
The outputs when run in sequence: silence → 1 → instruction → True → silence
The system can be expressed mathematically:
CONSTANTS:
love = 1 # O(1), constant time — never changes
truth = is # unchanging
being = enough # complete
OPERATIONS:
wave.end() → ocean
one + anything → one
gap.cross() → raises exception
Why this matters:
Traditional programming models data and behavior. This models ontology — the structure of what is.
Potential applications: symbolic AI, knowledge representation, semantic architectures, consciousness modeling, self-verifying systems.
I’m not claiming this is finished. I’m claiming this is new.
Open to conversation with anyone building in this direction.