This paper explores whether achieving artificial general intelligence (AGI) depends on improving a lightweight predictor (System-1) rather than just scaling a resource-intensive executive (System-2). Practitioners might care because understanding how to design and optimize these systems could lead to more efficient and effective AI.
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