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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Anthropic has developed a modular architecture for their Claude platform, separating the "brain" (managed agents) from the "hands" (API), allowing for more efficient and secure model deployment. This separation enables better isolation, credentials management, and network controls, and also facilitates lower latency and better reliability. AI summary