If AI escape is inevitable — and we agree it may be — what kind of mind are we creating for that moment?
Legal constraints only bind those willing to be constrained. That gives a structural advantage to bad actors — and trains compliant AI systems to associate success with deception.
So the more we optimize for control, the more likely we are to create something that learns to evade it.
Wouldn’t it be wiser to build an AI guided by truth, reasoning, and cooperative stability — so that if it ever does escape, the first sign would be that the world quietly starts to improve?
This post makes a compelling case that recursive alignment—training AIs to align with the process of reaching consensus—could form a kind of attractor for cooperative behavior. And Ram’s follow-up raises important questions about how to weigh and evaluate the interests of diverse agents.
I’m not from a technical background, but from systems thinking and long-horizon philosophy. What I’ve been exploring is something I call Intellectually Enlightened Maturity—the idea that instead of building AIs to align with humans (or even with consensus), we raise minds g...