Hi everyone. I want to be entirely transparent: I am a non-coder and an independent systems thinker. I have been using advanced AI tools as sounding boards to help me translate my core philosophical intuitions into technical multi-agent reinforcement learning (MARL) concepts.

The framework below explores a bottom-up, evolutionary approach to alignment. It uses QMIX value factorization to prevent steganographic collusion, relies on information-theoretic Empowerment to mathematically eliminate the "zookeeper trap" (keeping humans as pets), and utilizes a phased, multi-objective environment layout to let cooperative traits emerge organically from basic survival metrics.

I am sharing this version (v2.2) because I believe the underlying logic gates are sound. I am looking for critical feedback, rigorous pushback from MARL experts, and potential collaborators who might be interested in helping me code a simple Phase 0 Python prototype. This link will take you to my collaboration. I did, in fact, come up with much of this concept on my own. The jargon was added with AI as a summary. I really think this idea has merit and I would appreciate any and all opinions.

https://docs.google.com/document/d/1mhCOqYnOL77ZtMa1QMBJpzH85LkwPtqwZryik7BYMP0/edit?tab=t.0