A unified framework for machine-optimized content delivery and extraction, based on the Theory of Stupidity.
Specification and scientific rationale:
Scientific Paper: January 2026.
100%
Response Accuracy
6x
Extraction Speed
$8B
Potential Savings
Cost Reduction
$8 Billion
Annual token savings
Reducing noise ($D$) to zero to achieve the Noise Dominance Theorem.
Cryptographic protection against hallucinations (0% Hallucination Rate).
Multi-view representation: Narrative, Structure, Integrity.
Saving up to $8 billion annually through token optimization.
The modern web is built on Human-Centric Architecture (HCA), which creates massive information noise for AI. According to the "Theory of Stupidity" (Petrenko, 2026), this noise reduces the effective IQ of models, forcing them to spend resources on filtering garbage markup instead of analyzing meaning.
Entropy-Controlled Information Architecture (ECIA) proposes a shift to Machine-Centric Architecture (MCA). We introduce the "Content Envelope" — a structure separating data from presentation. This allows achieving the Noise Dominance Theorem, where $G_{machine} > G_{human}$.
The framework consists of two interconnected protocols:
Protocol for generating the Content Envelope. Ensures 100% data integrity and creates a zero-entropy environment.
Protocol for AI agents. Ignores HTML noise and works directly with the Content Envelope, increasing extraction speed by 6x.
A new web standard where the machine is the primary user (First-Class Citizen), and the human is the secondary observer.