Critique of Agent Model

The article critiques the concept of agency in AI, particularly in the context of Large Language Models marketed as "agents." It presents the Goal-Identity-Configurator (GIC) architecture, which integrates hierarchical goal decomposition, identity evolution, simulative reasoning from a trained world model, and self-regulation to create a general-purpose agent model capable of true autonomy. This work is significant for AI practitioners as it clarifies the distinctions between engineered workflows and systems with endogenous capabilities, emphasizing the importance of internalized structures for developing autonomous AI systems while ensuring human oversight and safety.