Testing a Fail-First architecture with Codex: what if failure is how the system learns?

A new "Fail-First Architecture" is being tested using Codex, where the learning runtime itself contains no ML model. Instead, it uses an explicit symbolic state system that learns from failures. When a transition fails, the system records the failure, evidence, and a new constraint, updating its state. This process shrinks the legal search space over time, allowing the system to learn valid transitions without neural networks. The architecture aims to use models for the unknown and state for the known.