dA/dt​=−πϵ(1−γ)−Λ+C−Φ

mind_bomber

1 dA/dt=−πϵ(1−γ)−Λ+C−Φ

by mind_bomber

10th May 2026

1 min read

0

1

Rejected for the following reason(s):

No LLM generated, assisted/co-written, or edited work.
Insufficient Quality for AI Content.

Read full explanation

Hello everyone,

My belief is that alignment has to be a continuously maintained condition. Therefore, i would like to introduce to you all my dynamic alignment equation dA/dt=−πϵ(1−γ)−Λ+C−Φ to help mitigate alignment drift over time.

Term	Meaning
π\pi	optimization pressure
ϵ\epsilon	constraint misclassification
γ\gamma	feedback fidelity / visibility
Λ\Lambda	irreversible loss
C	correction capacity
Φ\Phi	viable-region drift

From this equation i have developed an Alignment-Aware Neural Architecture (AANA) that acts as a pre-action control layer for ai-agents to keep them form misalignment.

AANA uses the runtime equation C≥πϵ(1−γ)+Λ+Φ so that if correction capacity is not high enough AANA routes the system to revise, retrieve, ask, defer, or refuse.

This architecture should be especially useful as systems scale and optimization pressure increases chances for misalignment.

I hope this community can find this information useful.

You can find out more about the AANA project at my GitHub: https://github.com/mindbomber/Alignment-Aware-Neural-Architecture--AANA-

I'm open to any questions you might have.

Thanks so much for your time.

1

New Comment

Moderation Log

1

dA/dt​=−πϵ(1−γ)−Λ+C−Φ

1

1

1

dA/dt=−πϵ(1−γ)−Λ+C−Φ