The performance of generative AI is shaped not by the model itself but by the system architecture built around it — an argument drawing renewed attention across developer communities. At the center of the debate are five layers: Context, Memory, Retrieval, Routing and Learning. Together, their configuration determines whether an AI system compounds its experience over time or starts from zero every time.
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