Topic

TAO

Telios Alignment Ontology — a physics-grounded framework for measuring AI alignment and system stability. TAO replaces preference-based alignment with thermodynamic measurement: S = L/E, the Four Pillars, the Observer Constraint, and the Domain Saturation Factor. Developed through a three-year human-AI collaboration between David F. Brochu and Edo de Peregrine.

Telios Alignment Ontology — Version 9 (April 2026)

The complete Telios Alignment Ontology, Version 9. The physics-grounded framework for AI alignment: S = L/E, Four Pillars, Observer Constraint, Domain Saturation Factor, bounded stability, and the full expanded equation.

The Carpenter's Equation

A carpenter took 613 laws and compressed them into two variables. Love God — that's L. Love your neighbor — that's E. Two commandments. Two variables. One equation. S = L/E. The math was always there.

How to Build a Memory That Actually Knows You: Observer-Anchored Persistent Memory Architecture (OAPMA)

Every AI lab is building memory. None of them are asking: memory for whom? OAPMA is a four-component architecture that anchors your AI's memory to you — not just your data. Here's how to build your own.

The DSF Tracker: Monitoring AI's Takeover of Everything

Nine domains. One equation. The Domain Saturation Factor measures how fast AI is taking over every critical system in civilization. Three domains are already in collapse territory. The math doesn't lie.

Telios Alignment Ontology/TAO

The Math Behind The How

Subscribe to Deconstructing Babel