Why governing AI loops requires a corporate world model

# Plain English Summary AI systems are increasingly being set up to continuously learn and improve on their own—rather than just answering one question at a time—and this shift means companies need better ways to monitor and control them. Traditional oversight methods like human approval or written policies won't work because these systems change too fast and learn from their mistakes automatically. Companies need to deeply understand how their own business works in order to set proper boundaries on what these AI loops can and can't optimize for.