"A search and reasoning system that doesn't retrieve — it resolves."
Traditional search ranks by popularity (PageRank), treats all content as equivalent text, and returns links instead of answers. The Distinction Engine ranks by informational mass, treats content as claims in D-space, and returns resolved distinctions.
| Traditional Search | Distinction Engine |
|---|---|
| Crawls pages, indexes tokens | Parses claims, maps distinction boundaries |
| Ranks by popularity (PageRank) | Ranks by distinction density |
| Returns links | Returns resolved distinctions |
| Treats all content as equivalent text | Treats content as claims in D-space |
For any domain, at least one distinction exists that partitions it into {A, ¬A}
// Rust Implementation Stub for Axiom 1
pub struct Axiom1 {
// Implementation details hidden
}Distinctions compose. d₁ ⊕ d₂ is itself a valid distinction.
// Rust Implementation Stub for Axiom 2
pub struct Axiom2 {
// Implementation details hidden
}A distinction exists only relative to an observer.
// Rust Implementation Stub for Axiom 3
pub struct Axiom3 {
// Implementation details hidden
}At critical density, qualitative phase transitions occur.
// Rust Implementation Stub for Axiom 4
pub struct Axiom4 {
// Implementation details hidden
}A distinction can refer to itself. The fixed point is identity.
// Rust Implementation Stub for Axiom 5
pub struct Axiom5 {
// Implementation details hidden
}Not all compositions are permitted. Forbidden regions define ethics geometrically.
// Rust Implementation Stub for Axiom 6
pub struct Axiom6 {
// Implementation details hidden
}Distinction is conserved. It cannot be created or destroyed, only transformed.
// Rust Implementation Stub for Axiom 7
pub struct Axiom7 {
// Implementation details hidden
}The answer appears before you finish the thought. Keystroke trajectories in D-space converge to resolved distinctions.
Information ranked by informational mass, not clicks. High-mass truths attract queries like gravitational bodies.
Mathematical antibodies that annihilate false claims. Pathogen ⊕ Antibody = ∅ (null distinction).
The engine discovers knowledge by recombining what it knows during idle time. Phase transitions produce insights.
Visual ethics. Fraud is visible before interaction. Every page rendered with a moral weight gradient.
No passwords. Authentication via mathematical fixed-point convergence of interaction patterns.
When two sources claim A and ¬A for the same region, the engine surfaces it proactively. Fact-checking is geometric.
Transmit distinction deltas, not data packets. The receiver reconstructs knowledge, not bytes.
Reconstruct the history of a concept — not version history, but the archaeology of meaning itself.
Every distinction knows WHY it exists, WHAT produced it, and WHAT it will produce. Query causality directly.
Multiple observer queries resonate in D-space — wave mechanics produce collective insights no individual could reach.
Information doesn't decay. Conservation law triggers re-distinction when density drops. Living data.
The core loop of the engine drives the system towards the self-referential fixed point defined in Axiom 5.
fn genesis(context: &Context) -> Result {
let mut self_ref = Distinction::new(context);
while !self_ref.is_fixed_point() {
self_ref = self_ref.apply_operator(Operator::Reflect);
if self_ref.violates_conservation() {
return Err(EntropyError::Hallucination);
}
}
Ok(self_ref)
} Safety is geometric (Axiom 6), not a bolted-on filter.
distinction-engine/
├── core/
│ ├── axioms.rs # The 7 Axioms
│ ├── physics.rs # Equation of Motion
│ └── geometry.rs # Distinction Space
├── memory/
│ ├── short_term.rs # Working Memory
│ └── long_term.rs # Vector Store
└── interface/
├── api.rs # REST/GraphQL
└── cli.rs # Command Line