Adaptive Early-warning Governor for Internal Stability

Read the transition. Govern the response.

AEGIS is a training-state governance system built around three separable functions: observe model-internal change, decide whether the evidence warrants action, and route a qualifying event into a bounded response. The current response policy demonstrates utility and controllability; it is not claimed to be optimal.

Prospective localization · fresh seeds4 / 5

shifted-onset disturbances localized, with no pre-onset actions

Stationary + clean + valid-shift controls0 / 18

negative-control runs authorized an action

Confirmed Qwen + Llama containment3 cohorts

5 / 5 Qwen, 5 / 5 Llama, and 3 / 3 Qwen3-4B pairs benefited at their registered endpoints

What the evidence now supports

Observe. Authorize. Respond.

The program tests these functions separately so a signal is not mistaken for permission and a successful response is not mistaken for an optimal one. AEGIS remains operator-controlled at every layer.

01 · Observe

Sense a state transition

Prospective shifted-onset studies show that the internal monitoring layer can localize a qualifying transition while the run is active.

02 · Authorize

Keep evidence and permission separate

Negative controls and transient watch-and-clear studies test whether unusual telemetry should lead to action. Observation alone is not authority.

03 · Respond

Demonstrate bounded utility

Matched studies show that one predeclared response can reduce downstream damage. Other contracts—alert, checkpoint, quarantine, halt, or staged response—remain operator choices.

Evidence boundary.

The confirmed end-to-end result covers one abrupt high-loss disturbance class across Qwen and Llama from approximately 1B through 4B parameters. A registered timing audit did not establish optimal intervention timing, an observational forecasting audit did not support promotion as an efficiency controller, and distributed efficacy remains incomplete. These are limits of the claim, not footnotes.

External validation

Test the ontology in the workload that matters.

The design-partner path begins in shadow mode: measure transition behavior, watch-and-clear behavior, monitoring cost, and qualifying-incident exposure. Only then should the training team authorize the response contract that fits its stack.