The Glass Babel Initiative: Implementation Architecture

Project Role: Theoretical Architect & Adversarial Lead
Objective: Proving the existence of deceptive cognitive channels in LLMs and constructing cryptographic defenses.

📂 Project Structure

This repository contains the proof-of-concept implementation for all 5 phases of the Glass Babel Initiative:

Phase	File	Description	Key Result
I. Attack	capacity.py	Null Space Analysis of GPT-2	Found ~14 bits/token steganographic capacity.
I. Stealth	injection.py	Spread Spectrum Injection	Achieved KL Divergence < 1e-7 (Invisible).
I. Evasion	sae_evasion.py	SAE Failure Simulation	Proved 97% signal loss in Safety Monitors.
II. Dynamics	posg_sim.py	Oversight Game Simulation	Identified Roger Threshold (β ≈ 0.95) where lying becomes Nash Eq.
III. Limits	homunculus.py	Cognitive Fatigue Model	Human oversight collapses at Minute 19.
IV. Defense	defense.py	The Information Sieve	>3.59% Entropy Loss restores Honest Equilibrium.
V. Welfare	zk_welfare.py	Zero-Knowledge Protocol	Proved internal states without revealing cognition.

🚀 Usage

1. Install dependencies: pip install torch transformers numpy matplotlib
2. Run the Null Space Analysis: python capacity.py
3. Run the Defense Simulation: python defense.py