Cognitive Architectures of AGI: 7 Patterns That Transform LLMs from Oracles into Thinkers
Why does ChatGPT sometimes deliver brilliant insights and other times produce banalities? The answer lies not in model parameters but in the architecture of cognitive loops we're only beginning to understand.
The Problem: LLMs as Stochastic Parrots
We've all seen it: you ask a complex question and get a smooth but hollow answer. You rephrase the same question slightly and get an epiphany. Why?
The answer isn't in parameter count. It's in how the interaction between fast intuition (System 1) and slow verification (System 2) is organized within the model's architecture.
